Зона ответственности: 9 стран Евразии (Монголия, Туркменистан, Таджикистан, Кыргызстан, Казахстан, Узбекистан, Грузия, Азербайджан, Армения).
В управлении команда специалистов по техническому регулированию.
Требования:
— профильный опыт работы в техническом регулировании с зоной ответственности за несколько стран (например, Россия и Казахстан),
— опыт работы в пищевой промышленности,
— высшее образование,
— владение разговорным английским.
Задачи:
— Руководство направлением In Vitro discovery и процессного картирования, выступая связующим звеном между лабораторными учёными, экспертами и командой цифровой реализации.
— Планирование и проведение воркшопов и интервью с учёными, экспертами лабораторий, IT-командами и поставщиками.
— Анализ и документирование текущих (As-Is) и будущих (To-Be) рабочих процессов, включая планирование экспериментов, регистрацию, использование ELN, настройку анализов, управление запасами, регистрацию образцов и объектов, лабораторные автоматизации, визуализацию, омics, контроль качества и сбор научных данных.
— Сбор, анализ и структурирование требований к данным, интеграции, управлению и нефункциональных требований.
— Проведение анализа пробелов в возможностях и бизнес-эффекта.
— Перевод сложных научных рабочих процессов в понятные процессы и системные требования для инженерных команд и поставщиков.
— Создание чёткой, структурированной и готовой к управлению документации на протяжении всего проекта.
Требования:
— Опыт не менее 5 лет в бизнес-анализе или аналогичных аналитических ролях в области наук о жизни, биофармацевтики или лабораторной среды.
— Соответствующее образование в области наук о жизни, химии, биологии или смежных научных дисциплин, а также практический опыт работы в лабораторных исследовательских командах или рядом с ними.
— Практический опыт в процессном картировании As-Is / To-Be для сложных научных или лабораторных рабочих процессов.
— Опыт сбора, анализа, документирования и отслеживания требований, способный создавать спецификации, которые могут использоваться командами разработки и поставщиками.
— Понимание лабораторных рабочих процессов, включая ELN, анализы, автоматизацию, визуализацию и омics, достаточное для точного картирования без потери научного смысла.
— Опыт проведения воркшопов с учёными, экспертами лабораторий, IT-командами и поставщиками.
— Опыт анализа требований к данным, интеграции, управлению и нефункциональных требований.
— Опыт проведения анализа пробелов в возможностях и бизнес-эффекта.
— Способность создавать чёткую, структурированную документацию, подходящую для управления и принятия решений.
— Готовность к командировкам в Великобританию при необходимости.
Условия:
— Конкурентоспособная компенсация.
— Удалённая или офисная работа.
— Гибкий график работы.
— Команда с высоким уровнем технической экспертизы.
– разработать комплексную SMM-стратегию и определить роли каналов (Telegram, VK, Instagram, YouTube, TikTok); – выстроить безотходную контент-систему: превращать один вебинар в десятки единиц контента (Reels, Shorts, интервью, карточки, нарезки);
ГибридheadМосква
150 000 – 150 000 ₽
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Seranova, a startup specializing in scientifically-supported skincare products and home rejuvenation devices, is seeking a Recruiter focused on E-commerce and Marketing roles. The position offers remote work flexibility. The recruiter will be responsible for sourcing and hiring talent in the e-commerce and marketing domains to support the company's growth and product development initiatives.
Director, National Field Medical Affairs and will be responsible for fostering strong relationships with key opinion leaders (KOLs) and supporting the scientific and clinical strategy of Orca Bio's next generation allogeneic cell therapies. Who you are Deep expertise in hematopoietic stem cell transplantation (HSCT) and cellular therapy.
This role is responsible for translating Compass’s medical strategy into effective field activities, overseeing MSL operations across a defined region, and ensuring consistent, high-quality scientific exchange with external stakeholders.
О компании: АО «Юмосс» разрабатывает и продвигает российское инновационное программное обеспечение CAE «WeRTSim» — веб-платформу цифровых двойников сварочных и родственных технологий для решения инженерных задач на основе математического моделирования и компьютерной симуляции.
О продукте: CAE WeRTSim создаёт единую программную среду, объединяющую имитационные модели технологических высокотемпературных процессов и механизмы управления вычислительными экспериментами с интуитивно понятным интерфейсом. Платформа интегрируется с внешними ИС (CAD, CAE, MES, FEM и др.) через API, обеспечивая точные инструменты для конструкторов, механиков и технологов. Области применения включают технологическую подготовку производства, обучение инженеров, автоматизацию и роботизацию управления технологическими процессами, проектирование сварочного оборудования, адаптацию и оптимизацию проектов, техническое перевооружение производства.
Кого ищем: разработчика с опытом создания интерактивной 2D/3D-визуализации для технических, инженерных или data-driven систем с фокусом на работу с геометрией, пространственными данными и их интерактивным графическим представлением в браузере.
Задачи:
— разработка и развитие интерактивной 2D/3D-визуализации;
— разработка технических editors и viewers;
— работа с Canvas, WebGL и Three.js;
— представление геометрических и численных данных;
— работа с системами координат, transformations, projections и spatial interaction;
— реализация selection, picking и manipulation объектов;
— визуализация матриц, срезов и объёмных данных;
— развитие моделей представления геометрических объектов и reusable graphics-компонентов;
— оптимизация rendering и работы с большими объёмами данных;
— участие в интеграции внешних CAD/3D-данных.
Требования:
— высшее математическое или техническое образование;
— опыт проектирования и разработки UI/UX многопользовательских высоконагруженных приложений;
— опыт командной работы;
— уверенный JavaScript / TypeScript;
— практический опыт работы с Canvas;
— практический опыт Three.js либо сопоставимый production-опыт с WebGL-based 3D;
— понимание принципов 2D/3D-графики: системы координат, geometric transformations, камеры и проекции, world/local/screen spaces, selection/picking;
— опыт преобразования структурированных или численных данных в интерактивное визуальное представление;
— достаточная алгоритмическая и математическая база для работы с пространственными задачами;
— способность самостоятельно анализировать задачу, определять модель данных, ограничения и invariants до выбора технологии реализации;
— реальный коммерческий или production-опыт разработки интерактивной графики, особенно в системах с корректностью данных, геометрии и пространственных преобразований (технические editors/viewers, инженерная или scientific visualization, GIS, simulation, industrial visualization, BIM/CAD-like systems, digital twins, medical или другие сложные spatial/data-driven interfaces);
— опыт Canvas и Three.js/WebGL должен подтверждаться реализованными задачами.
Будет плюсом:
— опыт с CAD/CAE, GIS/BIM/digital twin, scientific или industrial software;
— работа с 3D-форматами glTF, OBJ, STL;
— React / React Three Fiber;
— PixiJS, Konva, Babylon.js и другие graphics libraries;
— GLSL / shaders;
— profiling и оптимизация больших сцен;
— опыт работы с mesh/topology, units, faces/edges/bodies и преобразованием различных geometry representations.
Особенности оценки кандидата: основной вес имеет содержание предыдущих задач, а не количество лет опыта или длина технологического стека. Предпочтение разработчику, который способен анализировать данные, связи, ограничения и выбирать подходящие технологии реализации.
Условия:
— официальное трудоустройство с соблюдением норм трудового законодательства;
— полная удалённая работа;
— гибкий график;
— уровень заработной платы обсуждается с успешным кандидатом.
Задачи:
— разработка и развитие интерактивной 2D/3D-визуализации;
— разработка технических editors и viewers;
— работа с Canvas, WebGL и Three.js;
— представление геометрических и численных данных;
— работа с системами координат, transformations, projections и spatial interaction;
— реализация selection, picking и manipulation объектов;
— визуализация матриц, срезов и объёмных данных;
— развитие моделей представления геометрических объектов и reusable graphics-компонентов;
— оптимизация rendering и работы с большими объёмами данных;
— участие в интеграции внешних CAD/3D-данных.
Требования:
— уверенный JavaScript / TypeScript;
— практический опыт работы с Canvas;
— практический опыт Three.js либо сопоставимый production-опыт с WebGL-based 3D;
— понимание принципов 2D/3D-графики: системы координат, geometric transformations, камеры и проекции, world / local / screen spaces, selection / picking;
— опыт преобразования структурированных или численных данных в интерактивное визуальное представление;
— достаточная алгоритмическая и математическая база для работы с пространственными задачами;
— способность самостоятельно анализировать задачу, определять модель данных, ограничения и invariants до выбора конкретной технологии реализации;
— реальный коммерческий или сопоставимый production-опыт разработки интерактивной графики, особенно в системах с корректностью данных, геометрии и пространственных преобразований (технические editors / viewers, инженерная или scientific visualization, GIS и картографические системы, simulation / modelling, industrial visualization, BIM / CAD-like systems, digital twins, medical или другие сложные spatial/data-driven interfaces);
— опыт Canvas и Three.js/WebGL должен подтверждаться реализованными задачами.
Будет плюсом:
— CAD / CAE;
— GIS / BIM / digital twin;
— scientific или industrial software;
— работа с glTF, OBJ, STL и другими 3D-форматами;
— React / React Three Fiber;
— PixiJS, Konva, Babylon.js и другие graphics libraries;
— GLSL / shaders;
— profiling и оптимизация больших сцен;
— опыт работы с mesh/topology, units, faces/edges/bodies и преобразованием различных geometry representations.
Условия:
— официальное трудоустройство, соблюдение норм трудового законодательства;
— режим работы - полная удаленка;
— гибкий график;
— уровень заработной платы обсуждаем с успешным кандидатом.
About TestGorilla:
TestGorilla is a 100% remote company founded in 2020, building a skills-based talent discovery platform to replace reliance on resumes with scientific validation of skills. The company aims to place 1 billion people in their dream jobs and is currently scaling up.
About the role:
The Senior People & Talent Operations Partner owns People Ops as a product, including systems, compliance, and self-serve workflows that enable the People & Culture function to run efficiently. The role involves managing payroll, compliance, and HR systems across 35 countries, building AI/automation and self-serve layers, and working in a lean two-person team directly with the Head of People & Culture. The role requires autonomy, candid communication, empathy, structure, and organization.
Responsibilities:
— Uphold company behaviors and foster an inclusive, supportive culture.
— Design, build, and maintain a smart, automated, AI-enabled people journey from pre-boarding to off-boarding.
— Be the technical owner and orchestrator of the HR tech stack, ensuring tools are unified and integrated.
— Own non-Finance payroll, invoicing, contract administration, and compliance across all operating countries.
— Manage data privacy, recordkeeping, and the relationship with the Employer of Record (EOR) vendor.
— Configure and troubleshoot hiring tools to enable hiring managers to run searches independently.
— Maintain documentation for self-serve processes accessible to humans and AI agents.
— Collaborate to maintain a balance between self-serve and human involvement in People processes.
Requirements:
— Passion for TestGorilla's mission.
— Excellent written and verbal English communication skills.
— Experience building and owning sophisticated automations (Zapier, n8n, Make.com) as part of an integrated HR tech stack.
— Experience managing payroll, compliance, or HR operations across multiple countries, ideally with EOR or mixed entities.
— Deep, hands-on HRIS experience; HiBob experience is a plus.
— Product mindset focused on user feedback and iteration.
— Experience working in high-autonomy, async-first, remote-only environments.
— Ability to combine operational rigor with empathy and handle sensitive matters.
— Opinionated, candid, with strong feedback and stakeholder management skills.
— Typically 5+ years of relevant experience, but emphasis on ownership, impact, and progression.
Bonus skills:
— Experience with ATS or hiring platforms like Ashby, Greenhouse, or Lever.
— Experience with EOR providers such as Remote, Deel, or Oyster.
— HRIS implementation or migration experience.
— Experience supporting teams through organizational change.
Conditions:
— Hired as an Individual Contractor.
— Fully remote global team.
— Competitive base pay €56,520 - €70,650 plus Share Appreciation Rights (SARs), no bonus.
— Remote and flexible work with asynchronous hours.
— Remote work budget €1,000 per year or up to €2,000 from day one for laptop purchase.
— Learning and development budget of 3.5% per year with growth opportunities.
— Caregiver support including paid parental leave and tailored return-to-work.
— Unlimited and flexible time off policy.
Application process:
Candidates apply via the provided link and complete an AI-powered skills assessment. Hiring decisions are made by humans. Support and accommodations are available for assessments. Applications close September 20, with interviews following.
TTil-Qazyna National Scientific and Practical Center
About Us & The Team
Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models.
We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning.
Key Responsibilities
• LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT).
• NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers.
• Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation.
• Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX).
Requirements
• 1+ years of hands-on experience as NLP / AI / Machine Learning engineer.
• Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization.
• Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn.
• Experience building data preprocessing pipelines and working with structured/unstructured text data.
• Practical knowledge of Docker, Linux, and Git.
• Degree in Computer Science, Data Science, Applied Mathematics.
Nice to Have
• Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ).
• Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS).
• Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language.
• Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation.
What We Offer
• Direct impact on sovereign AI development and language technology used at scale.
• Official employment in full compliance with the Labor Code of the Republic of Kazakhstan.
• Access to high-performance GPU compute clusters for model training and experimentation.
Position Summary: The Medical Science Liaison (MSL) reports to the Sr. Director, National Field Medical Affairs and is responsible for fostering strong relationships with key opinion leaders (KOLs) and supporting the scientific and clinical strategy of Orca Bio's next generation allogeneic cell therapies. The ideal candidate will have deep expertise in hematopoietic stem cell transplantation (HSCT), cellular therapy, and the evolving cell therapy landscape, including clinical, operational, regulatory, and market access considerations. The MSL will serve as a trusted scientific partner between Orca Bio and external healthcare providers (HCPs), establishing strong professional collaborations with investigators and other HCPs within the designated territory (Southern California, Arizona, New Mexico, or Colorado). The MSL will also be an active leader and contributor on projects supporting Medical Affairs Strategic Objectives.
Responsibilities:
— Serve as a subject matter expert in stem cell transplantation, cell therapy, and cellular immunotherapy, providing scientific insights on treatment paradigms, clinical operations, patient access, and competitive landscape.
— Identify, develop, and maintain deep scientific, peer-to-peer relationships with academic stem cell therapy experts, thought leaders, HCPs, and access stakeholders to answer scientific and product-related questions and ensure safe and appropriate use of Orca Bio products.
— Prepare and maintain a territory management plan shared with Medical Leadership and internal stakeholders.
— Engage with Orca field team members to provide medical support for onboarding activities related to treatment center authorization, adverse event reporting, handling out-of-spec products, and partner with Market Access colleagues to provide medical education and support to local payers.
— Maintain a deep and current understanding of hematologic malignancies, stem cell transplantation, cell therapy, cellular immunotherapy, and competitive developments to facilitate high-level scientific exchange.
— Assess transplant and cell therapy landscape through engagement with KOLs, investigators, and academic centers to identify scientific trends, evidence gaps, and research opportunities relevant to Orca Bio's therapies.
— Serve as primary liaison for Orca Bio's Investigator-Sponsored Trial (IST) program, supporting research concept development, proposal and protocol development, governance communication, and scientific oversight throughout study phases.
— Gather and communicate actionable scientific insights and stakeholder feedback to leadership and cross-functional partners to inform medical strategy, evidence generation, and lifecycle planning.
— Provide scientific and clinical expertise to support internal and external stakeholders through advisory boards, clinical investigator meetings, educational meetings, professional organizations, advocacy groups, GPOs, and speaker bureaus.
— Support clinical trial activities to enhance patient recruitment, enrollment, and discussions on safe and effective use of investigational products, ensuring adherence to Good Clinical Practice (GCP) and regulatory standards.
— Lead collection, analysis, synthesis, and dissemination of scientific information from congresses and scientific exchanges, translating data and feedback into actionable recommendations.
— Coordinate efforts of other MSLs for congress coverage when assigned.
— Provide medical and scientific support for health outcomes, real-world evidence, and payer/provider engagement strategies.
— Initiate and autonomously execute projects aligned with Orca Bio’s scientific, clinical, and business operations, partnering with research, clinical development, commercial, market access, regulatory, and quality functions.
— Provide education and training to commercial marketing and sales teams on therapies and disease states.
Required Qualifications:
— Advanced clinical degree in life-science or basic-science discipline (MD, DO, PharmD, NP, PA, DNP, M.Sc, or Ph.D.) and industry experience as an MSL.
— Significant clinical and/or industry experience in malignant hematology, HSCT, cellular therapy, CAR-T, immune effector cell therapies, or other advanced therapy modalities.
— Strong understanding of cell therapy ecosystem including transplant center operations, apheresis and cell processing workflows, treatment center authorization, patient referral pathways, and competitive cell therapy products.
— Strong understanding of clinical development, regulatory requirements, and commercial strategies; HEOR data experience is a plus.
— Excellent interpersonal and communication skills to engage and influence diverse stakeholders.
— Ability to interpret and present complex scientific data to diverse audiences.
— Strong strategic thinking, problem-solving skills, and solution-oriented mindset.
— Ability to collaborate with cross-functional colleagues to serve internal and external stakeholder needs.
— Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment.
Preferred Experience:
— 5+ years of industry experience as an MSL.
— Experience with field medical launch planning, execution, and post-launch support.
— Direct experience supporting cell therapy, stem cell transplantation, CAR-T, or other advanced therapeutic platforms.
— Experience working in a small biotech company or start-up environment.
Compensation and Benefits:
— Annual salary range $195,000 - $245,000 based on experience, education, location, and other factors.
— Eligibility for pre-IPO equity and annual bonus.
— Competitive medical, dental, and vision benefits.
— PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits.
— Other perks include subsidized daily lunches and snacks at on-site locations.
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
What you’ll do
As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware.
Required Skills and Experience
Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus.
Responsibilities
Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Pay and benefits
Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Location: Remote (GMT-8 to GMT+5). 3-4 hours overlap with US Central Time (Chicago/Texas) required. Not open to candidates from China, Australia, or similar time zones.
Company Walter is developing open-source technology to advance computational biology through scalable workflow execution engines.
What you will do
— Contribute to the development of the Sprocket workflow execution engine and associated Rust crates (wdl, sprocket, crankshaft).
— Improve and extend the Workflow Description Language (WDL) specification, shepherding changes through the ratification process.
— Collaborate on the evolution of the Task Execution Schema (TES) with standards bodies and the open-source community.
— Develop and maintain reference implementations with comprehensive OpenAPI/Swagger documentation.
— Coordinate progress with the internal computational biology team.
Requirements
— 6+ years of senior-level proficiency in Rust with a track record of shipping production code.
— Experience contributing to or leading open-source projects.
— Familiarity with workflow engines, scientific computing, or large-scale computation.
— Ability to work with Rust crates for lexing, parsing, validating, linting, and executing DSLs.
— Strong skills in API design and specification development.
— Proficiency with GitHub for project planning and collaboration.
Nice to have
— Experience improving specifications using OpenAPI (Swagger) or the utoipa crate.
— Familiarity with Workflow Description Language (WDL) and Task Execution Schema (TES).
— Experience with Kubernetes, cloud, or HPC environments.
— Prior involvement with standards bodies such as GA4GH.
Culture & Benefits
— Full-time and long-term role commitment.
— Opportunity to work on impactful, open-source technology used by scientists worldwide.
— Ability to influence the direction of open standards in scientific workflow execution.
