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Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Sensor Intelligence Engineer II to join the Sensor Intelligence team and help advance the next generation of biomedical optical sensing technologies. In this role, you will translate optical sensing concepts into validated systems and algorithms that enable meaningful physiological insights for WHOOP members. Working at the intersection of AD, hardware, firmware, data science, and human physiology, you will combine theoretical modeling, hands-on experimentation, and data analysis to inform future sensing capabilities and product development. RESPONSIBILITIES: - Drive the evaluation and development of next-generation optical sensing concepts, including the definition of technical requirements, design tradeoffs, and validation criteria - Analyze raw time-series and multidimensional optical sensor data and construct signal processing work flows or platform for new physiological sensing etc. - Develop, validate, and improve physiological sensing principle using physics modeling and/or experimentation. - Analyze time-series and multidimensional biomedical sensor data to assess performance, identify artifacts and failure modes, and generate actionable recommendations for system and algorithm improvements - Develop or improve the multiphysics numerical simulation platform to optimize sensor performance or evaluate potential sensing concepts. - Collaborate with partners across Hardware, Firmware, Data Science, Research, and Product to communicate technical findings, influence design decisions, and translate research into scalable WHOOP capabilities QUALIFICATIONS: - Master’s degree or PhD in Electrical Engineering, Biomedical Engineering, Applied Physics, Optics, or a related technical field, or an equivalent combination of education and practical experience - 3+ years of relevant industry or research experience developing biomedical optical sensing systems, signal processing methods, or algorithms - Demonstrated depth in: Analyzing raw time-series and multidimensional optical sensor data, including but not limited to: PPG signal AC, DC, Perfusion Index, Systolic Foot, Systolic Peak, Dicrotic Notch, Diastolic Peak, Crest Time, Diastolic Time, etc. - Experience analyzing time-series or multidimensional data from biomedical sensors, such as PPG, ECG, IMU, EMG, acoustic sensors, or medical imaging systems - Proficiency in Python, C, or C++ for data analysis, algorithm development, prototyping, or system implementation, with the ability to communicate technical findings clearly and deliver high-quality work as requirements evolve - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. PREFERRED QUALIFICATIONS: - Familiarity with biomedical optics or biophotonics, with expertise in one or more areas such as diffuse optical spectroscopy, Raman spectroscopy, tissue optics, experimental optics, or a related field. - Experience with physiological sensing principles, understanding of the human circulation system and respiration system. - Hands-on experience designing, building, and characterizing optical sensing systems or laboratory experiments using components such as LEDs, lasers, photodetectors, lenses, collimators, and optical filters.

Location: Jeddah, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates; Cairo, Egypt; Lahore, Pakistan; New Delhi, India We are seeking a skilled Maintenance Engineer - Biomedical to join our team in Saudi Arabia. The Maintenance Engineer - Biomedical will be responsible for maintaining, troubleshooting, and repairing biomedical equipment to ensure optimal functionality and safety standards are met. This role involves performing preventive maintenance, conducting inspections, and supporting the installation and commissioning of new biomedical devices. The Maintenance Engineer - Biomedical is responsible for ensuring the effective and reliable delivery of maintenance services across all community facilities and systems at KAUST. The role focuses on monitoring, auditing, and verifying the performance of service providers to ensure compliance with contractual, technical, and safety standards. Key responsibilities include managing both preventive and corrective maintenance activities, ensuring they are carried out efficiently, safely, and in accordance with established schedules and procedures. By conducting regular inspections, technical evaluations, and performance reviews, the engineer safeguards asset quality and reliability while fostering continuous improvement and operational excellence. Responsibilities Ensure effective execution, reliability, and quality of maintenance activities across all assigned facilities and assets. Support and oversee preventive, corrective, and predictive maintenance operations to ensure safe and efficient performance. Monitor daily maintenance activities carried out by service providers, ensuring compliance with schedules, SOPs, and KPIs. Review work orders, reports, and field activities to verify completion, accuracy, and maintenance quality. Provide technical expertise, troubleshooting support, and guidance across multiple asset categories and disciplines. Ensure full compliance with contractual requirements, safety regulations, and industry standards (JCI, CBAHI/SBAHI, SFDA). Conduct audits, inspections, and performance evaluations of service providers and maintenance processes. Lead root cause analysis of equipment failures and implement corrective and preventive actions. Maintain and update asset data in CMMS (SAP/Maximo) and support asset lifecycle and reliability strategies. Oversee biomedical equipment maintenance, calibration, testing, and performance verification, ensuring compliance and operational readiness. Requirements Bachelor’s degree in Engineering (preferably Biomedical Engineering). 5–7 years of experience in biomedical equipment maintenance and operations. Strong knowledge of preventive, corrective, and predictive maintenance methodologies. Proficiency in CMMS systems such as SAP or Maximo. Knowledge of international healthcare and engineering standards (JCI, CBAHI/SBAHI, SFDA, IEC 60601, HTM). Expertise in biomedical equipment calibration, performance testing, and lifecycle management. Proven experience in contractor coordination, audits, inspections, and technical reporting. Professional certifications (CMRP, BMET) and safety training (OSHA/EHS) are preferred.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia; Tabuk, Saudi Arabia The Maintenance Engineer – Biomedical is responsible for ensuring the safe, effective, and reliable maintenance of biomedical and clinical equipment, as well as supporting broader facilities maintenance operations across KAUST’s community infrastructure. This role focuses on auditing, monitoring, and verifying the work of service providers, ensuring full compliance with technical, contractual, and safety standards. The engineer will manage both preventive and corrective maintenance activities and contribute to long-term asset lifecycle management. The position requires technical expertise in biomedical systems, asset performance evaluation, compliance with international and local standards, and effective use of CMMS tools (SAP/Maximo). Ensure effective and safe execution of preventive, corrective, and predictive maintenance for biomedical and facility assets. Monitor maintenance activities to ensure alignment with KAUST standards, safety protocols, SOPs, and KPIs. Conduct audits, inspections, and technical reviews to verify service quality and compliance with regulatory standards (JCI, SFDA, CBAHI/SBAHI, IEC, HTM). Support troubleshooting, root cause analysis, and the implementation of corrective and preventive actions. Oversee calibration, maintenance, and performance verification of biomedical equipment in the community medical facility. Maintain accurate asset data in the CMMS (SAP/Maximo) and support lifecycle planning and preventive maintenance strategies. Coordinate with stakeholders and provide regular reports and recommendations to improve service quality and asset reliability. Demonstrate expertise in biomedical equipment calibration, testing, performance verification, and lifecycle management. Requirements Bachelor's degree in Biomedical Engineering or related engineering discipline. Minimum 4–6 years of experience in the maintenance and operation of biomedical systems and general facilities equipment. Advanced knowledge of preventive, corrective, and predictive maintenance methodologies. Strong understanding of biomedical equipment standards, device safety, and infection control protocols. Proficiency in Computerized Maintenance Management Systems (CMMS), preferably SAP or Maximo. Strong technical expertise in biomedical equipment calibration, testing, and lifecycle management. In-depth understanding of international codes and standards related to facilities and medical equipment. Proven track record in contractor management, inspections, audits, and performance monitoring. Hands-on experience in complying with international and local regulations and standards, including: JCI, CBAHI/SBAHI, SFDA, IEC 60601, HTM Certified Maintenance & Reliability Professional (CMRP) - Preferred Biomedical Equipment Technician (BMET) certification - Preferred

Location: Annapolis, MD The Supervisor of Biomedical Engineering manages the day-to-day operations on the clinical engineering initiatives to provide superior customer service and operational efficiency by managing the execution of the Medical Equipment Management Plan (MEMP). This position assists the Senior Biomedical Manager with all aspects of program management, including equipment repair, equipment calibration, preventive maintenance, supervising and directing team personnel, planning and organizing work load, staff accountability, creating and maintaining open lines of communication, customer satisfaction and responsiveness, financial resourcefulness, personal and team development. This will require you to build strong relationships with nursing, information systems, engineering, and other partners throughout the health system. This position will primarily provide daily oversight at the LHAAMC campus. The following statements are intended to describe the general nature and level of work being performed by the person assigned to this classification. They are not to be construed as an exhaustive list of all job duties performed. Provides support for the departmental compliance with AAMC policies and procedures and any applicable governmental and JCAHO accreditation programs.  Reviews and analyzes medical device incidents involving patient care biomedical equipment, correcting deficiencies as identified · Coordinates, manages and performs the biomedical equipment maintenance, repair, calibration and evaluations of clinical equipment (e.g., Defibrillators, Beds, Infusion Pumps, and Ventilator’s) in accordance with departmental procedures. · Responsible for biomedical service operational requirements which include the daily assignment of tasks pertaining to equipment repair and support. Monitor, and control budgets to assure the most cost-effective and efficient operation. · Provide supervision for of other Biomed personnel. This includes employee motivation, hiring, discharge, discipline, promotion and performance evaluation. · Provide technical training to other employees in areas such as: equipment operation and checkout, repairs, preventative maintenance, quality assurance practices, procedures, and documentation. · Assist in the evaluation of new equipment as required and make recommendations pertaining to its electrical and functional conformance to standards. · Evaluates equipment problems and implements appropriate repairs with minimum supervision, always maintaining effective customer relations and customer protocol. · Participates in hazard identification and medical device reporting procedures to help ensure that the patient care environment is safe. · Instructs staff on safe equipment operation when necessary. · Performs preventive maintenance and calibration on medical equipment. · Maintains adequate files and parts inventory for assignments. · Achieves productivity, customer satisfaction and other established performance measures. · Spends a minimum of 40% of time performing supervisory work and the remaining balance of time on technical related work in the department. · Participate, where appropriate in on-call rotation. · Perform other tasks as assigned. · Minimum Associate degree or equivalent military experience required; Electronics, Biomedical, related technical discipline or equivalent military training preferred; Bachelor's degree preferred. · Minimum 3 years of experience working with biomedical equipment in a clinical engineering environment. There is reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - · Light Work: Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg controls requires exertion of forces greater than that for Sedentary Work and the worker sits most of the time, the job is rated for Light Work. · The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $38 — $55 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: London, United Kingdom; Switzerland; Sweden; Madrid, Spain; Serbia; Romania; Portugal; Poland; Netherlands; Latvia; Rome, Italy; Hungary; Greece; Germany; Paris, France; Finland; Croatia; Bulgaria; Brussels, Belgium Workplace: fully We are seeking a Biomedical Technologists to join our team and provide biomedical services onboard cruise ships. Responsibilities : Install, calibrate, and maintain biomedical equipment onboard cruise ships in accordance with manufacturer specifications and regulatory requirements. Monitor the performance and functionality of medical devices, ensuring optimal operation and adherence to quality standards in a maritime environment. Conduct regular inspections and preventive maintenance tasks to identify and address issues proactively, considering the unique challenges of operating at sea. Perform troubleshooting and repairs on biomedical equipment, diagnosing problems and implementing effective solutions while onboard. Monitor equipment recalls and safety alerts, coordinating with manufacturers and regulatory agencies as necessary to ensure compliance and passenger safety. Maintain accurate records of equipment maintenance, repairs, and service history onboard cruise ships. Source OEM parts and components as needed for equipment maintenance and repairs, considering logistics challenges associated with maritime operations. Collaborate with onboard medical staff, ship engineers, and other stakeholders to support the effective use of medical technology and ensure passenger care continuity during voyages. Requirements : Bachelor's degree in biomedical engineering, electronics, or a related field. Relevant certifications or training programs may be considered. Proven experience in biomedical equipment management, including installation, maintenance, and repairs in a maritime environment or similar challenging conditions. Strong technical skills and familiarity with a wide range of medical devices and equipment. Knowledge of regulatory standards and compliance requirements related to biomedical equipment management, with an understanding of maritime regulations and safety protocols. Excellent problem-solving abilities and attention to detail, with the ability to adapt to the unique challenges of working onboard cruise ships. Effective communication skills, with the ability to collaborate with multidisciplinary teams and external stakeholders in a maritime setting. Ability to work independently and prioritize tasks effectively while onboard cruise ships, demonstrating adaptability and resourcefulness in a dynamic environment. Benefits : Competitive salary Opportunity to work with leading cruise lines and healthcare firms worldwide Dynamic and collaborative work environment Potential for career growth and advancement How to Apply : To apply for this position, please submit your resume outlining your relevant experience and qualifications. We are recruiting on a rolling basis and encourage early applications. Join our team and become part of our global network of healthcare professionals serving the maritime industry!

Location: Annapolis, MD Position Objective: Responsible for all DME supply room inventory par levels hospital-wide; collects broken equipment, performs basic inspections of DME per standards set by the AAMC Biomedical Department and makes sure DME is clean, functional, and safe for patient use. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Helps maintain the VERSUS RFID tracking system by maintaining RFID tags and RFID tag batteries and updating / managing the software device information. Will use the VERSUS RFID tracking system daily. Will have privileges in the Mednet system to track Mednet devices and run reports. Receives communication from designated departmental personnel for DME needs via EPIC CLINCON system primarily, phone secondarily. Performs physical and virtual rounds throughout the hospital collecting all broken equipment hospital wide and returning it to the central DME storage area for Biomed pick up. Returns repaired equipment to clinical areas. Replaces broken equipment with spares to eliminate clinical downtime. Performs minor repair/replacement tasks. Enters Biomed work orders if needed. Is responsible for all DME supply room inventory par levels hospital-wide as well as the central equipment storage location. Performs basic inspection of DME per standards set by the AAMC Biomedical Department and makes sure DME is clean, functional, and safe for patient use. Collects/reports relevant DME data including cleaning, repair, and staff cleaning compliance statistics. Maintains records of maintenance, inventory and safety inspection activities in accordance with departmental policies. Educates staff on basic functions of DME. Will be on the project team for large volume equipment projects such as (IV pump exchanges) and unpack and inspect delivered equipment, asset tag and put in computer inventory system, and help deliver/exchange new equipment. Performs all duties in accordance with all MOSHA, Equipment and Manufacturer safety regulations with respect to personal protective equipment and safe equipment operations. Disposes of hazardous waste in accordance with all local, state, and federal laws and regulations. Educational/Experience Requirements: High School Diploma or GED Enrollment in an accredited Bioengineering program/medical terminology experience. One year experience in a hospital setting Required License/Certifications: Working Conditions, Equipment, Physical Demands: • Exerting up to 50 pounds of force occasionally, and/or up to 20 pounds of force frequently, and/or up to 20 pounds of force constantly to move objects. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $22.47 — $28.66 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Austria; Remote - Europe; Remote, Worldwide Workplace: remote About Welo Life Sciences    Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Latvian linguists specializing in Medical Devices and In Vitro Diagnostics (IVD) documentation translation. Key Responsibilities Translate medical device and in vitro diagnostics documentation from English (US) into Latvian. Perform Copy Edit (translation review) of translated content, ensuring accuracy, terminology consistency, and compliance with project-specific quality requirements. Review and address QA feedback and client feedback on flagged linguistic issues. Meet agreed deadlines and maintain high-quality standards across assigned tasks. Work within the client's CAT tool environment (memoQ 12.5 or higher), using the license provided by Welo Global. Follow project-specific instructions, workflows, and quality standards. Field of Expertise Medical Devices: Instructions for Use (IFUs), User Manuals, product documentation, labeling, and other medical device-related materials. In Vitro Diagnostics (IVD): Diagnostic test documentation, Instructions for Use, product information, labeling, and other IVD-related materials. Must-Have Criteria Education and Professional Experience Applicants must meet at least one of the following criteria: A degree in Translation, Linguistics, or Language Studies (or an equivalent degree); or A recognized graduate qualification in another field, plus a minimum of two years of full-time professional translation experience; or A minimum of five years of full-time professional translation experience. Relevant Translation Experience At least two years of professional experience in Life Sciences translation, specifically in Medical Devices and In Vitro Diagnostics (IVD). Proven experience translating medical documentation in the relevant fields. Experience limited to patent translation will not be considered sufficient. Ability to perform both Translation and Copy Edit tasks. Technical Skills Mandatory: Experience with memoQ, version 12.5 or higher. A suitable desktop version of memoQ must be installed. A free version is acceptable; a license will be provided by Welo Global. Familiarity with Microsoft Word and document editing workflows. Nice-to-Have Degree in Medicine, Biology, Biochemistry, Biomedical Sciences, Clinical Research, Translation, Linguistics, Philology, or a related field. Previous in-house experience within a medical device manufacturer, diagnostics company, or Life Sciences organization. Experience with ISO standards and quality-controlled translation workflows. Project Details Language Pair: English (US) into Latvian. Service Line: Life Sciences – Medical Devices. Task Types: Translation and Copy Edit. Expected Capacity: Ongoing weekly availability. Translation is paid per word, while Copy Edit is compensated per hour or per word, depending on the task size. For smaller Copy Edit assignments, payment will be calculated per word, as minimum fees cannot be offered. Additional QA feedback checks and client feedback reviews may also be assigned as part of the initial project scope, without a separate purchase order. If you are requested to work on a task outside the initial project scope, or assist with a project in which you were not originally involved, you will receive a separate purchase order (PO). Before Applying Please note that an assessment will be part of our onboarding and quality procedure. Candidates will be required to complete the standard Medical Devices assessment. Please only apply if you are willing to complete the assessment. Please ensure your latest English CV accurately reflects your Life Sciences and Medical Devices translation experience, including: Total years of professional translation experience. Years of experience specifically in Medical Devices and In Vitro Diagnostics. Examples of medical documentation and content types translated. Your experience with memoQ (please specify the version used). Your experience performing both Translation and Copy Edit. Your contact information (email AND phone number). Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global We look forward to receiving your application! Job Reference: #LI-JC1

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : 1. Practice Strategy & Development Define and execute the strategy and development roadmap for the assigned practice. Identify emerging technologies, industry trends, and evolving client needs relevant to the practice. Assess current practice strengths, gaps, and opportunities for development. Define the expertise, competencies, and skills required to support current and future business needs. Develop and maintain practice standards, methods, frameworks, and reusable knowledge assets. Contribute to the evolution of Quantori's service offerings and solution accelerators. Establish Quantori as a premier market leader in lab automation, LIMS consulting, and connected laboratory ecosystems. 2. Talent & Competency Development Establish competency frameworks, skill expectations, and proficiency levels within the practice. Assess professional skills and expertise to identify individual and collective development needs. Support employee career development, technical growth, mentoring, and knowledge sharing. Establish professional development priorities aligned with evolving market needs. Build communities of practice that encourage collaboration, learning, and the exchange of expertise. Provide technical and professional input into recruiting, candidate assessment, and hiring decisions. Support the development of career pathways and progression opportunities within the practice. 3. Technical & Domain Excellence Establish and maintain professional, technical, and domain standards for the practice. Promote consistent quality, sound technical approaches, and recognized industry practices. Provide expert guidance on complex technical or scientific challenges. Support technical reviews, knowledge sharing, and continuous improvement. Identify opportunities to strengthen the quality, efficiency, and consistency of client solutions. Develop reusable methods, tools, frameworks, and intellectual assets that advance the practice. Define standards for laboratory instrument integration, electronic lab notebook (ELN) customization, and compliance (GxP/FDA data integrity). 4. Client Engagement & Solution Expertise Contribute directly to billable client work as a subject matter expert, Solution or Engagement Lead, or senior practitioner. Provide technical or domain leadership on complex client engagements. Partner with lab managers, R&D operations directors, and IT leads to automate laboratory workflows and streamline data capture. 5. Technology Partnerships Establish and manage strategic relationships with technology partners relevant to the Practice. Identify emerging technologies and assess opportunities to incorporate them into Quantori's offerings and solutions. Develop partner-aligned enablement, training and certification programs. Build and maintain a strong base of partner-certified expertise within the Practice. Collaborate with technology partners on joint solutions, go-to-market initiatives and business opportunities. What we expect : Experience: 10+ years in laboratory informatics, lab automation, or scientific hardware/software integration within life sciences or pharma environments. Technical Expertise: Deep familiarity with commercial LIMS/ELN platforms (e.g., LabWare, Benchling, Revvity Signals), instrument middleware, and laboratory data standards (SiLA, AnIML). Domain Knowledge: Understanding of analytical lab instrumentation, assay automation, sample lifecycle management, and regulatory compliance (21 CFR Part 11). Commercial Acumen: Experience shaping consulting offerings and delivering profitable lab automation projects for pharmaceutical clients. Education: Bachelor's or Master's degree in Chemistry, Biology, Biomedical Engineering, Computer Science, or a related field. We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company

Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Hybrid - Palo Alto or San Francisco 📍 Hybrid, Palo Alto or San Francisco (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics Job Type: Full-time W2 About the Role We are looking for a pragmatic, hands-on Data Scientist to build and own the quantitative foundation for our clinical care delivery, patient treatment plan refinement, and retention engines. In our specialty care model, clinical health outcomes and business growth are directly linked: matching patients to their preferred, personalized treatment path leads to higher clinical efficacy, better satisfaction, and long-term retention. In this role, you won't just work with clean tabular data; you will bridge the gap between structured clinical metrics (lab values, symptom severity scores, dosage trajectories) and unstructured patient communications (visit transcripts, ambient scribe outputs, and intake survey dialogue). You will sit at the intersection of Data Science, Clinical Operations, and Product, serving as a core builder who transforms messy, multi-modal patient data into actionable clinical decision support and personalized care pathways. What You’ll Do Data Foundation & Pipeline Development Clean & Transform Multi-Modal Clinical Data: Build reliable, well-structured modeling tables and feature stores by parsing, cleaning, and joining raw datasets including lab results, symptom severity surveys, medication history, and raw visit transcripts. Establish Unstructured Data Workflows: Design robust data processing pipelines to convert unstructured clinical notes, orders and visit transcripts into structured, queryable relational tables. Transcript Mining & Feature Extraction Extract Patient Intent & Preference: Build lightweight NLP and LLM-based pipelines (using entity extraction, sentiment analysis, and topic modeling) to convert ambient visit transcripts into structured features. And provide insights into patient preferences in treatment pathway, communication, and modality, etc. Identify Friction Points: Process qualitative dialogue to automatically detect unaddressed obstacles or early side-effect reports before they lead to treatment discontinuation. Lookalike Cohorts & Patient Treatment Planning Lookalike Clustering Engine: Develop unsupervised segmentation models to cluster patients into "lookalike" cohorts based on baseline lab values, symptom profiles, and transcript-derived preferences. Outcome & Trajectory Forecasting: Build predictive models that estimate symptom reduction, time-to-relief, and potential side-effect risks across alternative treatment branches (e.g., immediate HRT vs. conservative step-therapy). Causal Inference & Retention Analytics Quasi-Experimentation on Care Protocols: Apply observational study methods (Propensity Score Matching, Difference-in-Differences, Survival Analysis) to evaluate non-randomized care pathways and quantify counterfactual patient outcomes. Drop-Off & Retention Optimization: Identify critical clinical touchpoints and dosage adjustment milestones that drive long-term program adherence, connecting clinical milestone achievement directly to patient retention and LTV. Research & Cross-Functional Collaboration Evidence Generation: Partner with the clinical research team to provide analytical support for peer-reviewed medical publications, white papers, and payer studies. Clinical Operations Alignment: Translate analytical findings, treatment protocol insights, and patient drop-off trends into actionable workflow improvements for clinical operations and care teams. What You Bring Technical Skills Programming & Querying: Advanced proficiency in SQL for data manipulation alongside strong Python skills for predictive modeling and data transformation. Machine Learning & Modeling: Practical experience applying clustering (segmentation), regression/classification, and survival analysis (e.g., scikit-learn, statsmodels, lifelines). NLP & Modern LLM Workflows: Hands-on experience with NLP techniques and LLM frameworks (e.g., transformers, Claude API, etc.) to parse, extract, and classify unstructured text data. Causal Inference Fundamentals: Solid working knowledge of quasi-experimental design, propensity score matching, and counterfactual reasoning on observational datasets. Analytical Capabilities Healthcare Data Intuition: Comfort working with messy, semi-structured, or missing healthcare datasets (lab results, Patient-Reported Outcome Measures/PROMs, EHR notes). Pragmatic "0-to-1" Builder Mindset: You enjoy doing the foundational data architecture work—cleaning JSON outputs, structuring features, and validating baseline models—before reaching for complex algorithms. Cross-Functional Communication: Ability to translate technical modeling outcomes into clear, intuitive insights for Clinical Operations and Product partners. Experience 2 to 4 years of hands-on data science or analytics experience delivering high-impact solutions. Experience working with healthcare, telehealth, digital health datasets. Demonstrated track record of parsing unstructured text/transcript data into structured modeling pipelines. Bachelor’s or Master’s degree in Biomedical Data Science, Health Informatics, Biostatistics, or a related quantitative field. Interview Process: Recruiter Screen- 30 mins Hiring Manager Screen- 30 mins Technical Screen- 1hr Panel Interviews- 3 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship . Candidates must be authorized to work in the U.S. without current or future sponsorship needs. This is a full-time W2 position. The base salary range is 144K-172K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits. While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥 https://www.youtube.com/watch?v=1px7i6MVjNg #LI-PS1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Location: Riga, Latvia; Remote - Europe; Remote, Worldwide Workplace: remote About Welo Life Sciences    Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Latvian linguists specializing in Medical Devices and In Vitro Diagnostics (IVD) documentation translation. Key Responsibilities Translate medical device and in vitro diagnostics documentation from English (US) into Latvian. Perform Copy Edit (translation review) of translated content, ensuring accuracy, terminology consistency, and compliance with project-specific quality requirements. Review and address QA feedback and client feedback on flagged linguistic issues. Meet agreed deadlines and maintain high-quality standards across assigned tasks. Work within the client's CAT tool environment (memoQ 12.5 or higher), using the license provided by Welo Global. Follow project-specific instructions, workflows, and quality standards. Field of Expertise Medical Devices: Instructions for Use (IFUs), User Manuals, product documentation, labeling, and other medical device-related materials. In Vitro Diagnostics (IVD): Diagnostic test documentation, Instructions for Use, product information, labeling, and other IVD-related materials. Must-Have Criteria Education and Professional Experience Applicants must meet at least one of the following criteria: A degree in Translation, Linguistics, or Language Studies (or an equivalent degree); or A recognized graduate qualification in another field, plus a minimum of two years of full-time professional translation experience; or A minimum of five years of full-time professional translation experience. Relevant Translation Experience At least two years of professional experience in Life Sciences translation, specifically in Medical Devices and In Vitro Diagnostics (IVD). Proven experience translating medical documentation in the relevant fields. Experience limited to patent translation will not be considered sufficient. Ability to perform both Translation and Copy Edit tasks. Technical Skills Mandatory: Experience with memoQ, version 12.5 or higher. A suitable desktop version of memoQ must be installed. A free version is acceptable; a license will be provided by Welo Global. Familiarity with Microsoft Word and document editing workflows. Nice-to-Have Degree in Medicine, Biology, Biochemistry, Biomedical Sciences, Clinical Research, Translation, Linguistics, Philology, or a related field. Previous in-house experience within a medical device manufacturer, diagnostics company, or Life Sciences organization. Experience with ISO standards and quality-controlled translation workflows. Project Details Language Pair: English (US) into Latvian. Service Line: Life Sciences – Medical Devices. Task Types: Translation and Copy Edit. Expected Capacity: Ongoing weekly availability. Translation is paid per word, while Copy Edit is compensated per hour or per word, depending on the task size. For smaller Copy Edit assignments, payment will be calculated per word, as minimum fees cannot be offered. Additional QA feedback checks and client feedback reviews may also be assigned as part of the initial project scope, without a separate purchase order. If you are requested to work on a task outside the initial project scope, or assist with a project in which you were not originally involved, you will receive a separate purchase order (PO). Before Applying Please note that an assessment will be part of our onboarding and quality procedure. Candidates will be required to complete the standard Medical Devices assessment. Please only apply if you are willing to complete the assessment. Please ensure your latest English CV accurately reflects your Life Sciences and Medical Devices translation experience, including: Total years of professional translation experience. Years of experience specifically in Medical Devices and In Vitro Diagnostics. Examples of medical documentation and content types translated. Your experience with memoQ (please specify the version used). Your experience performing both Translation and Copy Edit. Your contact information (email AND phone number). Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global We look forward to receiving your application! Job Reference: #LI-JC1

Location: Lithuania; Remote - Europe; Remote, Worldwide Workplace: remote About Welo Life Sciences    Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Lithuanian linguists specializing in Medical Devices and In Vitro Diagnostics (IVD) documentation translation. Key Responsibilities Translate medical device and in vitro diagnostics documentation from English (US) into Lithuanian. Perform Copy Edit (translation review) of translated content, ensuring accuracy, terminology consistency, and compliance with project-specific quality requirements. Review and address QA feedback and client feedback on flagged linguistic issues. Meet agreed deadlines and maintain high-quality standards across assigned tasks. Work within the client's CAT tool environment (memoQ 12.5 or higher), using the provided license. Follow project-specific instructions and workflows. Field of Expertise Medical Devices: Instructions for Use (IFUs), User Manuals, product documentation, labeling, and other medical device-related materials. In Vitro Diagnostics (IVD): Diagnostic test documentation, instructions for use, product information, labeling, and other IVD-related materials. Must-Have Criteria Education and Professional Experience Applicants must meet at least one of the following criteria: A degree in Translation, Linguistics, or Language Studies (or an equivalent degree); or A recognized graduate qualification in another field, plus a minimum of two years of full-time professional translation experience; or A minimum of five years of full-time professional translation experience. Relevant Translation Experience At least two years of professional experience in Life Sciences translation, specifically in Medical Devices and In Vitro Diagnostics (IVD). Proven experience translating medical documentation in the relevant fields. Experience limited to patent translation will not be considered sufficient. Ability to perform both Translation and Copy Edit tasks. Technical Skills Mandatory: Experience with memoQ, version 12.5 or higher. A suitable desktop version of memoQ must be installed. A free version is acceptable; a license will be provided by Welo Global. Familiarity with Microsoft Word and document editing workflows. Nice-to-Have Degree in Medicine, Biology, Biochemistry, Biomedical Sciences, Clinical Research, Translation, Linguistics, Philology, or a related field. Previous in-house experience within a medical device manufacturer, diagnostics company, or Life Sciences organization. Experience with ISO standards and quality-controlled translation workflows. Project Details Language Pair: English (US) into Lithuanian. Service Line: Life Sciences – Medical Devices. Task Types: Translation and Copy Edit. Expected Capacity: Ongoing weekly availability. Translation is paid per word, while Copy Edit is compensated per hour or per word, depending on the task size. For smaller Copy Edit assignments, payment will be calculated per word, as minimum fees cannot be offered. Additional QA feedback checks and client feedback reviews may also be assigned as part of the initial project scope, without a separate purchase order. Before Applying Please note that an assessment will be part of our onboarding and quality procedure. Only apply if you are willing to complete the assessment. Please ensure your latest English CV accurately reflects your Life Sciences and Medical Devices translation experience, including: Total years of professional translation experience. Years of experience specifically in Medical Devices and In Vitro Diagnostics. Examples of medical documentation and content types translated. Your experience with memoQ (please specify the version used). Your experience performing both Translation and Copy Edit. Your contact information (email AND phone number). Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global We look forward to receiving your application! Job Reference: #LI-JC1

Location: Annapolis, MD Position Objective: Performs preventive and corrective maintenance procedures with general supervision on diagnostic, laboratory, and therapeutic medical equipment throughout the Medical Center. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Under general supervision, repairs, calibrates, cleans, and safety checks all classes of Biomedical equipment in accordance with manufacturer specifications. Maintains records of maintenance, inventory and safety inspection activities in accordance with departmental policies. Disposes of hazardous waste in accordance with all local, state, and federal laws and regulations. Follows all safety procedures. Educational/Experience Requirements: Associates Degree in biomedical equipment technology, or electronics is preferred. One year of experience in a hospital setting preferred Must have working knowledge of the following pieces of equipment: general office equipment, safety analyzer, digital multimeter, hand truck, AC line analyzer, photo light meter, service terminal, patient simulator, defibrillator analyzer, ESU analyzer pressure meter, tachometer, flowmeter, infusion pump analyzer. Must have own vehicle, be willing to use it for work and be reimbursed for mileage, have a valid Maryland drivers license, and a driving record with no more than two (2) points. Required License/Certifications: Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $25 — $36 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Sensor Intelligence Engineer to help develop, validate, and scale the sensor algorithms and tools that transform noisy physiological signals into meaningful member insights. As part of a cross-functional team spanning Sensor Intelligence, Hardware, ML Research, WHOOP Labs, Firmware, Apparel & Accessories, and other engineering disciplines, you will develop robust algorithm verification and validation methodologies, evaluate sensor and algorithm performance against appropriate reference data, build diagnostic and analysis tools, characterize failure modes, and help determine algorithm readiness for real-world deployment across our diverse member population. RESPONSIBILITIES: - Develop end-to-end verification and validation methodologies for sensor algorithms and biosensor systems, including test design, reference-data comparison, performance metrics, acceptance criteria, and readiness assessment across large-scale datasets - Partner with Data Science, WHOOP Labs, Research, Firmware, and other engineering teams to design representative data collections, evaluate algorithm performance against reference measurements, characterize failure modes, and determine readiness for real-world deployment - Apply signal processing, statistical analysis, and machine learning techniques to physiological time-series data to identify performance opportunities, investigate algorithm failures, and improve sensor-derived insights - Build and maintain scalable workflows, dashboards, and diagnostic tools for algorithm validation, regression testing, performance monitoring, data quality assessment, and sensor behavior across diverse populations and use cases - Contribute to software development, debugging, testing, and validation processes, ensuring analytical tools, algorithms, and results meet production-quality standards - Communicate findings through clear technical documentation, reports, and visualizations that enable cross-functional teams to make informed product and engineering decisions QUALIFICATIONS: - Bachelor’s or Master’s degree in electrical engineering, biomedical engineering, applied mathematics, statistics, computer science, or a related quantitative field, or equivalent practical experience - 5+ years of industry or research experience working with signal processing, machine learning, statistical analysis, algorithm validation, or related quantitative methods - Experience analyzing time-series data and applying core signal processing techniques such as filtering, spectral analysis, peak detection, and windowing - Demonstrated experience independently designing and driving validations studies, including one or more of test methodology development, reference-data comparison, performance evaluation, acceptance-criteria definition, or failure-mode investigation. - Proven track record of investigating intricate or ill-defined technical challenges, pinpointing root causes, and delivering solutions across algorithm, sensor, data, and system domains - Proficiency in Python and/or C, with experience developing reliable tools or software for data processing, analysis, or algorithm validation - Strong foundation in statistical inference and experimental analysis, including the ability to select appropriate methods, interpret results, and communicate analytical trade-offs - Experience working with large datasets and modern engineering or data infrastructure such as Git, CI/CD systems, cloud platforms, or data warehouses - Strong written and verbal communication skills, with the ability to translate complex technical findings into concise documentation, visualizations, and actionable recommendations - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: United States ClinChoice is a global full-service CRO dedicated to professional development and providing an excellent work-life balance, with a quality-focused, collaborative “one-team” culture. We are looking for a dynamic person to join our in-house team as a Senior Scientist, Risk Management & Safety Surveillance on a permanent basis. Responsibilities Position Summary The scientist will be responsible for core safety deliverables including scheduled and ad hoc aggregate reports and will serve as report owner for assigned reports (medium to large volume, standard complexity). He/She will have in- depth product knowledge and will support Safety Management Team (SMT) deliverables as required. Daily activities involve planning, conducting meetings, database searching, aggregate safety analysis and case level review, writing, and project management/coordination of strategic safety documents. He/She will partner with team members, stakeholders including Medical Safety Officers (MSOs), and a vendor. Primary Responsibilities: •     Ensure timely, quality reports/safety analyses related to core deliverables with oversight as appropriate •     Collaborate with Therapeutic Area Safety Head (TASH), MSO, Safety Surveillance Physician (SSP) and other stakeholders on strategy development •     Initiate, conduct, and oversee searches of internal and external databases •     Perform and/or lead aggregate safety analysis and case level review •     Author, contribute, and coordinate the preparation of core safety deliverables •     Ensure commitments (e.g., Pharmacovigilance Agreements (PVAs) and assessment reports) are met •     Partner with vendor to develop reports/deliverables •     Provide SMT support as needed •     Act as ad hoc member for assigned products as appropriate •     Recognize potential issues and or safety issues and escalate to the attention of    the report owner, line manager, or MSO •     Ability to understand nature of adverse drug reactions and complex associations •     Maintains a high level of flexibility and ability to reprioritize ones work and others •     Attention to detail and ability to analyze data in broader context •     Ability to work across multiple functions and therapeutic areas •     Review regulatory assessor comments/requests and accommodate/address as appropriate with guidance Training/Meetings/Department Initiatives: •     Participate in cross-functional training of relevant stakeholders •     Attend departmental meetings and trainings •     Participate in department and/or cross-functional initiatives Secondary Responsibilities: •     Safety Management Teams (SMT) for assigned products - Lead SMT meeting.  Lead and drive discussions and formulate decisions along with core members •     Risk management plans - Provide guidance on RMP creation and updates.  Reviews and align approvals with oversight leads of the Risk Management plan •     Periodic Benefit Risk Evaluation Report (PBRER)/ Periodic Safety Update Report (PSUR) - Reviews and align approvals with lead oversight.  Leads strategy of the PBRER process. •     Health authority queries -Work with MSO, scientist to organize data, review cases, literature, write Marketing Authorization Holder (MAH) comments •     Participating Affiliate Core Data Sheets (CCDS), US and EU prescribing information updates - Form part of the label working group and provide guidance related to the label updates. •     Signal Validation and Evaluations - Work with Scientist to review preliminary data to determine if the signal is valid and would require further evaluation. Lead and drive the signal evaluation process •     IB updates for safety sections - Evaluate clinical data for ADRs, assist with section 5 and Reference Standard Information (RSI) tables as needed •     DSURs - Reviews and aligns Safety approvals with lead oversight. •     Addendum to Clinical Overviews - Provide support with review, and characterization of risks, data review •     Literature reviews for class effects and ad hoc reports -Review articles and create MAH Comments for assessment of the articles •     Product Safety Strategy (PSS) - Review the risks documented in the PSS and oversee the updates as necessary. Align approval of the PSS updates with oversight. •     Handing Level 2 Escalations/HHE - Participate in level 2 escalations and assess whether there is a Safety impact and an HHE is needed. Lead and drive the HHE process. •     Clinical Development Team (CDT), Local Working Group (LWG) and other cross functional meeting participation - Participate and provide safety inputs as required Minimum Qualifications Education/Experience: ·       Bachelor’s degree in Health or Biomedical Science and six to eight years of industry experience or equivalent, or Advanced degree (preferred) in Health or Biomedical Science and four to six years of industry experience or equivalent) ·       Physician (MD or equivalent) generally requires 2-5 years of pharmacovigilance experience or other relevant experience (e.g., Clinical research, Medical Affairs). Demonstrated skills in clinical medicine with at least 3 years of clinical practice experience is preferred. ·       Clinical/medical writing or pharmacovigilance experience preferred ·       Strong English verbal and written communication skills. ·       Demonstrated knowledge of principles of drug development, assessment of drug risks and benefits, and safety assessment of drugs both on the market and in development as well as global safety regulations, is highly preferred. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are  the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-PB1 #LI-Remote

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.