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Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Требуется руководитель направления UX-исследований с опытом работы с качественными и количественными методами исследования от 5 лет, умением комбинировать их для получения более точных и глубоких инсайтов. Необходим опыт проведения комплексных исследований, умение выстраивать долгосрочные стратегии исследований с фокусом на улучшение UX на всех этапах жизненного цикла продукта. Важно эффективно руководить процессом исследований, контролируя сроки, качество и результат на всех этапах (от планирования до внедрения), создавать и обновлять стандарты и документацию по исследованиям, обеспечивая единые подходы в команде. Опыт управления командой исследователей направления: постановка задач, методологическая поддержка и развитие компетенций сотрудников. Задачи: — формировать план работ направления: определение приоритетов, согласование с продуктовыми командами и руководителем центра, обеспечение покрытия ключевых продуктов/клиентских путей исследованиями — распределять исследовательские задачи внутри команды с учетом компетенций, нагрузки и приоритетности проектов — осуществлять контроль качества исследований на всех этапах: от оценки брифа и дизайна до проверки результатов и финального отчета — обеспечивать трансляцию результатов исследований в продуктовые решения: отслеживание применения результатов, выстраивание обратной связи с продуктовыми командами — представлять результаты исследований направления перед стейкхолдерами, аргументация рекомендаций, участие в продуктовых дискуссиях в роли эксперта по клиентскому опыту — организовывать процесс приема и обработки исследовательских запросов от бизнес-заказчиков, обеспечение соответствия запросов установленным стандартам качества — управлять командой направления: ставить цели, проводить регулярные встречи, обеспечивать профессиональное развитие сотрудников, участвовать в оценке их результативности — участвовать в подборе персонала в команду направления: формирование требований к кандидатам, проведение интервью, участие в финальном отборе — самостоятельно проводить исследования в случаях высокой стратегической значимости проекта или ресурсных ограничений команды — развивать методологию, стандарты качества и исследовательские процессы совместно с руководителем центра — контролировать ведение базы знаний по исследованиям направления, обеспечение актуальности и доступности материалов для команды

Требуется специалист с опытом работы с качественными и количественными методами исследования от 3 лет, умеющий комбинировать их для получения более точных и глубоких инсайтов. Опыт проведения комплексных исследований. Умение выстраивать долгосрочные стратегии исследований с фокусом на улучшение UX на всех этапах жизненного цикла продукта. Умение эффективно руководить процессом исследований, контролируя сроки, качество и результат на всех этапах (от планирования до внедрения). Умение создавать и обновлять стандарты и документацию по исследованиям, обеспечивая единые подходы в команде. Задачи: — определять цели и задачи исследований, планировать и организовывать проекты, управлять сроками и ресурсами — комбинировать качественные и количественные методы исследования в зависимости от поставленных целей, применять комплексный подход к анализу данных — разрабатывать дизайн исследования, учитывая стратегию развития продукта и его текущие потребности — проводить UX-аудит существующих интерфейсов, выявлять ключевые проблемы и разрабатывать рекомендации по их решению — формировать отчетность и презентовать результаты исследования руководству и команде — обеспечивать выполнение исследовательских планов, контролировать качество и соблюдение сроков на всех этапах — взаимодействовать с внутренними и внешними заказчиками — продвигать клиентоцентричный подход в продуктовых командах

Location: United Kingdom; Spain; Netherlands; Switzerland; France; Italy Step into a role where science meets strategy and your expertise shapes the future of drug development. As a Director, Pharmacometrician, you’ll lead high-impact modeling and simulation efforts within a dynamic Clinical Pharmacology, Modeling and Simulation (CPMS) environment. You’ll guide teams, mentor pharmacometricians, and provide strategic insight to clients at key development milestones. This role also offers the opportunity to represent clients in interactions with regulatory agencies. If you thrive on collaboration and solving complex scientific challenges, this is your chance to make a meaningful impact. About the role This role combines scientific leadership and strategic impact, leading population PK analyses while developing innovative approaches to improve efficiency and accuracy. You will design, analyze, and interpret clinical pharmacology studies, provide strategic guidance to clients, and contribute to regulatory documents and agency interactions. In addition, you’ll foster client relationships, support business development, and stay at the forefront of PK/PD advancements to drive continuous improvement. Your main responsibilities will include but not limited to: Lead and conduct population PK analyses using advanced modeling tools and methodologies Develop and implement innovative approaches to enhance the efficiency and accuracy of PK analysis Design, analyze, and interpret clinical pharmacology studies (renal, hepatic, TQT, ADME, DDI, BE/BA, SAD, MAD, etc.) and provide guidance to optimize pharmacokinetic sampling and dosing strategies Provide strategic guidance to clients, owning deliverables and developing clinical pharmacology plans Author and review PK reports and clinical pharmacology sections of regulatory documents Represent clients in regulatory interactions and contribute to business development and relationship management Requirements About You If you are a driven clinical pharmacology professional with 6–10 years of experience in drug development and pharmacometrics and you bring sharp analytical thinking and expertise in tools like NONMEM, Pirana, and R to deliver high-impact insights while being client-focused and a natural leader who thrives in fast-paced environments, combining strategic thinking, strong communication, and business acumen to build relationships and drive results, this role is for you. To be successful we are looking for the following traits and behaviors: Life science, healthcare and/or business degree Minimum 10 years of relevant work experience, including experience in drug development, clinical pharmacology, and pharmacometrics Regulatory experience including regulatory report writing essential. Experience with regulatory submissions including INDs, CTAs, regulatory meetings and NDA/BLA/MAA submissions Proficiency in NONMEM, Pirana, and R software preferred Excellent organizational, negotiating and financial skills Benefits About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means rolling up your sleeves and applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. Find more information about our values. Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Apply now! If you are interested in this role please apply through the button or for more information reach out to Demetria Eggleston at Demetria.eggleston@allucent.com Salary: United Kingdom: £82,000K-111,000K Disclaimers: *Our policy encourages a dynamic work environment, prescribing a minimum of 2 days in office per week for employees within a reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-Remote #LI-Hybrid #LI-DE

Контур — экосистема для бизнеса, помогающая компаниям вести бухгалтерию, сдавать отчетность, обмениваться документами и общаться удалённо. Вакансия открыта в командах Маркировки и Экстерна. Маркировка — сервис для маркировки товаров в системе «Честный знак». Экстерн — система электронной отчетности для взаимодействия с контролирующими органами. Задачи: — Проводить качественные и количественные исследования с респондентами из b2b-сегмента; — Вести исследование на всех этапах: снимать запрос с заказчика, формулировать цели и гипотезы, выбирать метод, привлекать респондентов самостоятельно и с помощью рекрутеров, анализировать результаты и презентовать итоги; — Использовать разнообразные методы исследований: интервью, опросы, наблюдение, юзабилити-тестирование, кабинетные исследования. Требования: — Опыт работы UX-исследователем в продуктовой команде от двух лет; — Опыт тесной работы с командой разработки, понимание процессов разработки продуктов, ролей и основ продуктового подхода; — Опыт проведения качественных исследований, плюсом будет опыт или знания в количественных исследованиях; — Опыт исследований в b2b; — Опыт работы с процессами исследований в команде; — Умение брифовать заказчика, инициативность, умение аргументировать позицию и быть на стороне пользователя. Условия: — Уровень дохода зависит от технических знаний и навыков, регулярный пересмотр зарплат и финансовые бонусы; — Возможность работать удалённо, гибридно или в офисе с предоставлением техники и комфортного рабочего места; — Работа с сервисом видео-конференц-связи Контур.Толк с транскрибацией, базой знаний и контактов пользователей; — Возможность участвовать в рабочих группах, проводить технические интервью, проверять тестовые задания, развивать комьюнити; — Профессиональное сообщество с конференциями, публикациями и докладами; — Возможность смены продукта, команды или предметной области внутри компании; — Горизонтальные связи в коллективе для эффективного решения задач; — Поддержка профессионального развития, внутреннее и внешнее обучение.

Location: Belgrade Job Overview Wargaming is looking for an Armored Vehicle Technical Consultant for World of Tanks. If you are a huge fan of technology and military history, you are welcome to join the Military Design and Research team. Our ideal candidate has the skills to read drawings, knowledge of the layout of combat vehicles, their appearance, and internal structure, and an understanding of the technology of operation of units and equipment assemblies, primarily armored vehicles of the period 1940 - 1990s. Reports to Head of Military Design and Research What will you do? Work in a team of historians with a group of contractors for the production of 3D models and drawings of military equipment (selection of source materials, execution and issuance of assignments, support during work progress, acceptance of work deliverables, and transfer to production) Search for and systematize historical materials on military equipment (Internet, printed publications, archives, museums, exhibitions, private collections, company partners, etc.) Consult on equipment, uniforms, and  historical events for other divisions of the company Check 3D models of military equipment for historical and technical compliance Development of vehicle concept sketches, scale schemes, estimation and calculation of principal technical and performance specifications, and preparation of vehicle design descriptions, including the use of open-source publications and archival materials What are we looking for? Technical or engineering education Knowledge of the military history of auto and armored vehicles of the world of the XX-XXI centuries (structure, layout) Understanding of the fundamentals of design and materials of vehicles and armored vehicles (calculations of tactical and technical data, layout data, armor protection, etc.) PC skills, knowledge of text and graphic editors (Photoshop, E-Drawings, standard office programs, Blender) A combination of creative and technical thinking English language skills on a good level C1- C2 Russian proficiency (for the effective search, reading, and comprehension of historical and engineering materials related to military equipment) What additional skills will help you stand out? Knowledge of world history on military subjects and military conflicts Skills in CAD (SolidWorks and analogues) Passion for modeling Experience with military archives Work mode On-site at the office in Belgrade This role is eligible for relocation & immigration support Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Задачи: — Разработка математических моделей и алгоритмов для игровых продуктов в сфере iGaming. — Анализ и оптимизация игровых механик для повышения вовлеченности и удержания игроков. — Сотрудничество с командой разработчиков и дизайнеров для интеграции математических решений в игры. Требования: — Знание теории вероятностей, статистики и математического моделирования. — Опыт работы в сфере iGaming или игровой индустрии будет преимуществом. — Умение работать с большими объемами данных и проводить их анализ. Условия: — Удаленная работа или возможность релокации на Кипр. — Полная занятость. Контакт и подробности по ссылке: https://teletype.in/@gameberg/u8XUv891Nk4

Location: Croatia; Bulgaria; Poland; Czechia; Slovakia; Greece Join our global Pharmacovigilance team as a Sr. Pharmacovigilance Specialist. Senior Pharmacovigilance Specialist is responsible for supporting global and local PV systems and ensuring compliance with all PV activities with international or local regulations. May overtake additional regional or local PV responsible person roles for simple PV systems. The position is remote, home-based in any EU country. All CVs must be submitted in the English language for consideration. Responsibilities: Act as the Project Manager or deputy Project Manager for the assigned projects Perform accurate forecasting and contribute to budget planning, ensuring efficient functioning of the QPPV Office Update SOPs and act as a subject matter expert for PV in assigned company processes Maintain KPI reports and perform core and standard PV activities for assigned contractual partners. Manage Full or local Pharmacovigilance systems and projects (or part of them) and/or central pharmacovigilance activities (e.g. end-to-end case processing, Aggregate Safety Reports, Risk Management Plans and risk minimization activities) in both pre- and post-authorization setting (as applicable) Act as a customer contact point (where applicable), ensuring consistent communication and escalation management across assigned projects Act as the appointed EU QPPV or deputy EU QPPV in accordance with a separate QPPV Job Description (if applicable) Ensure high-quality performance of PV services in assigned region/country and timely communication with Health Authorities Ensure inspection/audit readiness and finding remediation Requirements Biologist, Pharmacist, Medical Doctor, or other life science degree 4-year experience in global Pharmacovigilance activities Fluent English Computer literacy (MS Office), experience with PV databases (Veeva Vault Safety experience is an advantage) Strong organizational and time management skills Ability to work independently and in a team Strong organization, prioritization, and time management with reliable delivery of commitments Strong communication and relationship building skills across functional teams Benefits Professional growth and career opportunities International team and environment Bonus based on annual performance Personal accident and business trip insurance Additional health insurance Remote/home based Rewarding referral policy Workplace establishment allowance (fully remote) Team building, global meetings

Location: Montreal, Canada Rejoignez un poste où la science rencontre la stratégie et où votre expertise façonne l’avenir du développement de médicaments. En tant que Directeur pharmacométricien , vous dirigerez des projets de modélisation et de simulation à fort impact au sein d’un environnement dynamique de pharmacologie clinique, de modélisation et de simulation (CPMS). Vous dirigerez des équipes, encadrerez des pharmacométriciens et fournirez des conseils stratégiques aux clients lors des étapes clés du développement. Ce poste vous offre également l’opportunité de représenter les clients dans leurs interactions avec les organismes de réglementation. Si vous aimez travailler en collaboration et relever des défis scientifiques complexes, voici votre chance d’avoir un impact significatif. Step into a role where science meets strategy and your expertise shapes the future of drug development. As a Director Pharmacometrician , you’ll lead high-impact modeling and simulation efforts within a dynamic Clinical Pharmacology, Modeling and Simulation (CPMS) environment. You’ll guide teams, mentor pharmacometricians, and provide strategic insight to clients at key development milestones. This role also offers the opportunity to represent clients in interactions with regulatory agencies. If you thrive on collaboration and solving complex scientific challenges, this is your chance to make a meaningful impact. À propos du poste Ce poste allie leadership scientifique et impact stratégique : vous dirigerez des analyses pharmacocinétiques de population tout en développant des approches innovantes pour à améliorer l’efficacité et la précision. Vous serez chargé de concevoir, d’analyser et d’interpréter des études de pharmacologie clinique, de fournir des conseils stratégiques aux clients et de contribuer à la rédaction de documents réglementaires ainsi qu’aux interactions avec les organismes de réglementation. De plus, vous entretiendrez les relations avec les clients, soutiendrez le développement des affaires et resterez à la pointe des avancées en pharmacocinétique et pharmacodynamique afin de favoriser l’amélioration continue. Vos principales responsabilités comprendront, sans s'y limiter : Diriger et réaliser des analyses pharmacocinétiques de population à l'aide d'outils et de méthodologies de modélisation avancés Élaborer et mettre en œuvre des approches innovantes pour améliorer l'efficacité et la précision des analyses pharmacocinétiques Concevoir, analyser et interpréter des études de pharmacologie clinique (rénale, hépatique, TQT, ADME, DDI, BE/BA, SAD, MAD, etc.) et fournir des conseils pour optimiser les stratégies d'échantillonnage pharmacocinétique et de posologie Fournir des conseils stratégiques aux clients, en assumant la responsabilité des livrables et en élaborant des plans de pharmacologie clinique Rédiger et réviser les rapports pharmacocinétiques ainsi que les sections de pharmacologie clinique des documents réglementaires Représenter les clients dans les interactions avec les autorités réglementaires et contribuer au développement des affaires et à la gestion des relations About the role This role combines scientific leadership and strategic impact, leading population PK analyses while developing innovative approaches to improve efficiency and accuracy. You will design, analyze, and interpret clinical pharmacology studies, provide strategic guidance to clients, and contribute to regulatory documents and agency interactions. In addition, you’ll foster client relationships, support business development, and stay at the forefront of PK/PD advancements to drive continuous improvement. Your main responsibilities will include but not limited to: Lead and conduct population PK analyses using advanced modeling tools and methodologies Develop and implement innovative approaches to enhance the efficiency and accuracy of PK analysis Design, analyze, and interpret clinical pharmacology studies (renal, hepatic, TQT, ADME, DDI, BE/BA, SAD, MAD, etc.) and provide guidance to optimize pharmacokinetic sampling and dosing strategies Provide strategic guidance to clients, owning deliverables and developing clinical pharmacology plans Author and review PK reports and clinical pharmacology sections of regulatory documents Represent clients in regulatory interactions and contribute to business development and relationship management Requirements À propos de vous Si vous êtes un professionnel de la pharmacologie clinique motivé, fort de 10 ans d’expérience dans le développement de médicaments et la pharmacométrie, et que vous possédez un esprit analytique aigu ainsi qu’une expertise dans l’utilisation d’outils tels que NONMEM, Pirana et R pour fournir des analyses percutantes, tout en étant orienté vers le client et en étant un leader naturel qui s’épanouit dans des environnements dynamiques, alliant réflexion stratégique, excellentes compétences en communication et sens des affaires pour établir des relations et obtenir des résultats, ce poste est fait pour vous. Pour réussir, nous recherchons les qualités et comportements suivants : Diplôme en sciences de la vie, en soins de santé et/ou en administration des affaires Au moins 10 ans d’expérience professionnelle pertinente, notamment dans le développement de médicaments, la pharmacologie clinique et la pharmacométrie Une expérience en matière de réglementation, y compris la rédaction de rapports réglementaires, est indispensable. Expérience des soumissions réglementaires, y compris les demandes d'autorisation de mise en examen (IND), les demandes d'autorisation de clinique (CTA), les réunions réglementaires et les soumissions de demandes d'autorisation de mise en marché (NDA/BLA/MAA) Maîtrise des logiciels NONMEM, Pirana et R souhaitée Excellentes compétences en organisation, en négociation et en gestion financière About You If you are a driven clinical pharmacology professional with 10 years of experience in drug development and pharmacometrics and you bring sharp analytical thinking and expertise in tools like NONMEM, Pirana, and R to deliver high-impact insights while being client-focused and a natural leader who thrives in fast-paced environments, combining strategic thinking, strong communication, and business acumen to build relationships and drive results, this role is for you. To be successful we are looking for the following traits and behaviors: Life science, healthcare and/or business degree Minimum 10 years of relevant work experience, including experience in drug development, clinical pharmacology, and pharmacometrics Regulatory experience including regulatory report writing essential. Experience with regulatory submissions including INDs, CTAs, regulatory meetings and NDA/BLA/MAA submissions Proficiency in NONMEM, Pirana, and R software preferred Excellent organizational, negotiating and financial skills Benefits À propos d'Allucent Notre mission est de contribuer à la mise au point de nouveaux traitements. Travailler chez Allucent, c'est retrousser ses manches et mettre à profit ses compétences, son expertise et ses connaissances uniques pour établir des partenariats avec nos clients dans leur quête de nouveaux traitements destinés à améliorer la vie des patients. Si vous êtes passionné(e) par l'aide apportée aux clients pour le développement de nouveaux produits pharmaceutiques et biologiques, si vous avez l'esprit d'entreprise et si vous êtes prêt(e) à rejoindre d'autres leaders dans les domaines de la science, des affaires et des opérations, nous serions ravis d'en savoir plus sur la manière dont nous pouvons nous aider mutuellement à grandir. Ensemble, nous BRILLONS. Découvrez-en plus sur nos valeurs. Les avantages de travailler chez Allucent comprennent : Ensemble complet d'avantages sociaux par site Des salaires compétitifs par site Un budget départemental dédié à la formation et à l'étude pour favoriser le développement professionnel Des horaires de travail flexibles (dans la mesure du raisonnable) La possibilité de travailler télétravail/en mode hybride* selon le site Possibilités de leadership et de mentorat Participation à notre programme de parrainage en tant que nouvel employé ou employé existant Des opportunités d'évolution interne et de progression de carrière Programme de recommandation interne des employés financièrement avantageux About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means rolling up your sleeves and applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. Find more information about our values. Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Avertissements : *Notre politique de travail au bureau encourage un environnement de travail dynamique, en prescrivant un minimum de 2 jours par semaine au bureau pour les employés se trouvant à une distance raisonnable de l'un de nos bureaux internationaux . L'équipe Allucent Talent Acquisition gère le processus de recrutement et d'embauche pour Allucent (US) LLC et ses filiales (collectivement « Allucent »). Allucent n'accepte pas les CV non sollicités provenant de recruteurs tiers ni les demandes de collaboration non sollicitées pour l'un de nos postes vacants. Les CV non sollicités envoyés aux employés d'Allucent n'obligent pas Allucent à embaucher ces personnes à l'avenir ni à verser une rémunération potentielle à une agence de recrutement tierce. Les candidatures ne doivent jamais être soumises directement à nos responsables du recrutement, à nos employés ou à nos services des ressources humaines. Disclaimers: *Our office-based work policy encourages a dynamic work environment, prescribing a minimum of 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-Remote #LI-Hybrid #LI-DE

Location: Poland; Finland; Germany; Estonia We’re building a local network of talented PV experts to collaborate with on future projects. We’d love to connect with professionals who are interested in staying in touch for freelance (parttime) opportunities. Let’s start the conversation and build a connection! Currently we are looking to add people to our network in Poland. At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of post-marketing regulatory requirements to ensure continued safety and availability of life-changing therapies for patients around the world. At Allucent we are big enough to deliver and small enough to care. We know all our colleagues by name and work together as a team to make everyone SHINE. The role The Local Contact Person for Pharmacovigilance (LCPPV) coordinates and performs the logistical aspects of pharmacovigilance activities in post-marketed programs to ensure compliance with local requirements. This position controls and monitors operational pharmacovigilance activities and may back-up Pharmacovigilance Manager(s) as required. Main responsibilities: Acts as the primary point of contact for the local regulatory authorities, including 24/7 if legally required Monitors and maintains awareness of safety issues and recommendations published by the local regulatory authorities, concerning the client products or products class Monitors and maintains awareness of changes to local legislation pertaining to pharmacovigilance Supports client audits and inspections, as required, including attendance, provision of requested documentation and completion of Corrective Actions and Preventive Actions (CAPAs), if needed Performs local literature screening and collection of safety information Assists on the development or the review of the local pharmacovigilance system master file (LPSMF), if required Supports local signal detection, if applicable Manages locally risk minimization measures, as applicable Reports to and maintains regular communication with the EU QPPV Supports the review of local PV agreements, if requested Performs local PV training to eg. sales force, affiliate personnel, distributors Provides monthly activity report on status of local PV system Requirements Who are we looking for: University degree, preferably in medicine, pharmacy or life sciences and minimum 2 years of experience in the performance of pharmacovigilance post-marketing activities Have up-to-date knowledge of applicable global and local regulatory requirements In-depth knowledge of the pharmacovigilance legal framework in country where LCPPV services are delivered Fluency in the written and spoken English language Reside in the country where LCPPV provides services, if required Benefits About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. Find more information about our values. Disclaimers: “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.”

Location: Makkah, Saudi Arabia We are seeking an experienced Core Logging Geologist to join our mineral exploration team. The successful candidate will be responsible for detailed geological logging of drill core, sample management, and supporting exploration programs focused on base metals with a strong emphasis on gold exploration . The role requires excellent geological interpretation skills, adherence to industry standards, and the ability to work effectively in remote field environments. Key Responsibilities Perform detailed geological, structural, alteration, mineralization, and geotechnical logging of diamond drill core. Identify and record lithological units, mineral assemblages, alteration styles, and structural features accurately. Support exploration targeting through geological interpretation and integration of drilling data. Ensure accurate sample selection, marking, and preparation in accordance with QA/QC procedures. Maintain high-quality geological databases and ensure data integrity. Work closely with drilling contractors and exploration teams to coordinate drilling activities and core handling. Assist in geological mapping, trench logging, and field reconnaissance as required. Interpret exploration results and contribute to technical reports and daily progress updates. Follow company Health, Safety, and Environmental (HSE) policies and maintain safe work practices. Support resource evaluation activities by providing accurate geological data. Qualifications Bachelor's degree in Geology, Applied Geology, or a related Earth Science discipline. Minimum 5 years of hands-on field experience in mineral exploration. Proven expertise in core logging for base metal exploration , with significant experience in gold exploration projects . Strong understanding of structural geology, alteration mineralogy, and ore deposit geology. Experience with geological logging software and database management systems. Knowledge of QA/QC protocols for drilling and sampling. Ability to work independently in remote field locations under challenging conditions. Strong analytical, communication, and report-writing skills. Proficiency in Microsoft Office and geological data management software. Preferred Skills Experience working on greenfield and brownfield exploration projects. Familiarity with industry reporting standards and exploration best practices. Ability to interpret geological data and contribute to exploration targeting. Strong teamwork and problem-solving abilities. Work Environment Field-based role with extended rotations at remote exploration sites. Willingness to travel and work flexible schedules based on project requirements. Key Competencies Geological interpretation Core logging and sampling Mineral exploration Data accuracy and attention to detail Team collaboration Safety awareness Technical reporting Time management

Location: Jeddah, Saudi Arabia; Dubai, United Arab Emirates The Date Palm Tissue Culture Technician is responsible for the initiation, maintenance, multiplication, and acclimatization of date palm ( Phoenix dactylifera L .) plantlets using in vitro tissue culture techniques. The technician will support large-scale micropropagation, ensure culture quality, and maintain sterile laboratory operations in compliance with standard protocols. Scope of Work / Deliverables Initiate and maintain date palm explants (shoot meristems, somatic embryos) under aseptic conditions Prepare and sterilize culture media, reagents, and consumables Perform subculturing, multiplication, shooting and rooting of in vitro cultures Monitor cultures for contamination, physiological disorders, and growth performance Conduct somatic embryogenesis and organogenesis protocols. Assist with acclimatization and hardening of plantlets in the greenhouse. Maintain detailed records of cultures, protocols, and production output Follow laboratory safety, hygiene, and quality control procedures Support protocol optimization and scaling-up activities Requirements Bachelor’s degree in Biotechnology, Plant Pathology, Agronomy, Horticulture, Biological Sciences, or a related field. (Associate degree/Diploma with relevant hands-on lab experience will also be considered) Hands-on experience in plant tissue culture, preferably with date palm Strong knowledge of aseptic techniques and culture media preparation Plant tissue transformation Hands-on experience in plant tissue culture, preferably with date palm Strong knowledge of aseptic techniques and culture media preparation Plant tissue transformation

Role overview: We are looking for a Game Mathematician to design, validate, and improve mathematical models for casino games. You will work closely with Product Owners, developers, QA, and certification teams to create engaging, compliant, and mathematically robust game experiences. Responsibilities: — Design and develop mathematical models for slots, casual and table games; — Contribute to game mechanics and feature design together with Product Owners and game designers; — Build simulations and analytical tools to validate RTP, volatility, hit frequency, maximum win, and other key game parameters; — Review and verify mathematical implementations together with developers and QA; — Analyze, update, and adapt legacy mathematical models from previously released games when required; — Support game balancing, playtesting, and post-release analysis using gameplay and statistical data; — Work with certification laboratories during game certification, investigate mathematical or technical findings, and prepare required fixes or supporting documentation; — Analyze market trends and existing game mechanics to identify opportunities for innovation. Requirements: — Degree in Mathematics, Statistics, Computer Science, or a related field — or equivalent practical experience; — Strong knowledge of probability theory, combinatorics, statistics, and mathematical modeling; — 5+ years of proven experience creating mathematics for slot games and/or other casino games; — Experience collaborating with certification laboratories and resolving certification-related issues; — Ability to explain which certification labs you have worked with, what requirements or findings arose, and how you addressed them; — Proficiency in at least one object-oriented programming language, such as C++, C#, or similar; — Strong Excel skills and experience with simulations, data analysis, and large datasets; — Experience with Git; — Strong analytical thinking, attention to detail, and problem-solving skills. Nice to have: — Understanding of player psychology, engagement mechanics, and the iGaming market; — Experience working with legacy game mathematics, including reviewing, debugging, recalculating, and updating existing models. Work conditions: — Work where it suits you: from home, the office, or a mix of both. — 100% paid vacation and sick days, plus extra days off. — Medical insurance and mental health support. — BCoins for internal rewards and fun perks. — Budget for professional development, certifications, and language courses (English and Polish). — Hackathons, team events, and legendary parties. — Kids’ camp for BGamers’ families. — Referral program with real rewards.

Location: Thuwal, Saudi Arabia Eram Talent is seeking an experienced and passionate Coral Husbandry Technician Supervisor to support the KAUST Coral Restoration Initiative (KCRI) , one of the world's largest coral reef conservation and restoration programs. Reporting to the Coral Husbandry Specialist , the role is responsible for supervising coral husbandry operations, co-culture systems, and fish husbandry activities to maximize coral production for reef restoration. The successful candidate will oversee daily nursery operations, ensure the highest standards of coral care and aquatic husbandry, supervise technical staff, and contribute to the successful implementation of advanced coral restoration techniques. The ideal candidate has extensive experience in coral husbandry, coral sexual and asexual reproduction, aquaculture, and marine conservation, with the ability to work in remote project environments. Key Responsibilities Supervise daily coral husbandry, co-culture, and fish husbandry operations to ensure optimal coral growth and production. Implement advanced coral restoration techniques, including coral sexual and asexual reproduction methodologies. Manage coral nursery operations while maintaining the highest standards of cleanliness, animal welfare, and operational efficiency. Monitor coral health, identify and diagnose coral diseases, and implement appropriate corrective actions. Supervise and support husbandry technicians to ensure compliance with established husbandry procedures and quality standards. Develop, maintain, and update Standard Operating Procedures (SOPs), operational records, and production documentation. Coordinate daily activities with the Coral Husbandry team, management, and multidisciplinary project stakeholders. Support the successful delivery of nursery operational readiness, commissioning, and ongoing coral production programs. Monitor and maintain aquatic life support systems, water quality, and environmental conditions. Participate in diving operations to support coral monitoring, maintenance, and restoration activities when required. Attend project meetings and provide operational updates and technical input. Ensure compliance with Health, Safety, and Environmental (HSE) policies and report incidents, hazards, and near misses promptly. Contribute to continuous improvement initiatives to enhance coral production, nursery operations, and restoration outcomes. Requirements Qualifications & Requirements Bachelor's degree or higher in Marine Biology, Marine Science, Aquaculture, Environmental Science, or a related discipline. Minimum of 3 years of hands-on experience in coral husbandry with a strong emphasis on coral sexual reproduction. Proven experience in coral propagation, co-culture husbandry, fish husbandry, and aquaculture operations. Strong understanding of aquatic life support systems, coral health management, and marine husbandry practices. Experience supervising technical teams in marine, aquarium, aquaculture, or coral restoration environments. Proficiency in Microsoft Office, Microsoft Teams, SharePoint, and digital documentation systems. Excellent communication, documentation, analytical, and problem-solving skills. Previous experience working in remote or project-based environments is highly desirable. Middle East experience and Arabic language skills are advantageous but not mandatory. Willingness to relocate to a remote project location and participate in diving activities as required.

Location: United States Workplace: remote Contract type: Freelance Hourly rate: $20.30 Language: English (US) Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis. Eligible candidates will be added to a pool of certified raters and contacted at least 48 hours before kickoff.   We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   If you're someone who: Has an eye for artistic detail and intuitive design Thinks critically about spatial accuracy, relevance, and context Cares about delivering polished and helpful digital experiences This project is built for you.   What you will do: Evaluate the aesthetic quality, readability, and overall polish of digital map designs. Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance. Review personalized location recommendations to ensure relevance and helpfulness. Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., “Icons not properly masked,” “Labels too small”). Requirements: To be located and have the right to work in the United States. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you . Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA 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. Anthropic Fellows Program overview The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis. Submit your application to the Economics & Policy workstream at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you. What to expect 4 months of full-time research Direct mentorship from Anthropic researchers Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country) Substantial funding for compute and other research expenses Interview process The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well. 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. Compensation The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension). The Anthropic Institute Fellows (Economics & Policy) Mentors, research areas, & past projects Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include: Economics Maxim Massenkoff Peter McCrory Policy, Security, and Society Jack Clark Marina Favaro Jim Baker Projects in this workstream may include: Designing and conducting empirical research on AI's economic effects, drawing on external data sources Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale Measuring the extent to which model performance increases with custom harnesses Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems Identifying which metrics relating to AI R&D could serve as early warning signals for recursive self-improvement For past project examples, see: How AI Impacts Skill Formation : Judy Shen and Alex Tamkin Stress-Testing Model Specs Reveals Character Differences among Language Models : Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus Unique candidate criteria You might be a particularly great fit for this workstream if you: Have an interest in economics or policy research; prior experience in this area is a plus but not required Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda Are skilled at writing up and communicating your results, even when they're null or unexpected Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy 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 AI research and would be interested in a full-time role at Anthropic Strong track record of empirical research Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Candidates must be: Fluent in Python programming Available to work full-time on the Fellows program Logistics - Fellows Program Submit your application to the Anthropic Institute Fellows at the bottom of this page. Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program. Workspace Locations: We have designated shared workspaces in SF. We are also open to remote fellows in the UK, US, or Canada . Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada. Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. 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.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Usability Engineer for our Design Team. User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company. This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards. Location: This role will be based remotely in the EMEA region. The role entails Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings. Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research. Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder. Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows. Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable. Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach. What we are looking for in you Exceptional academic track record from both high school and university Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path. User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling. A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions. A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing. Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards. Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action. Nice to have skills Experience with Linux. Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management. Some experience with or interest in data analysis frameworks in Python (e.g. pandas, seaborn), R, MATLAB or similar. A proven track record of contributing to Open Source projects or communities. A passion for aesthetics, visualization, or design. What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an Emerging Technologies Expert to join our team, dedicated to exploring innovative technologies that can transform business processes and drive strategic outcomes. This is a unique opportunity for Saudi Nationals to contribute to cutting-edge projects while leveraging the latest technologies to enhance our solutions and services. As an Emerging Technologies Expert, you will analyze, evaluate, and implement new technologies that can initiate significant improvements in our offerings or operational capabilities. Your ability to research and recommend future technologies will play a key role in our competitive strategy. Responsibilities: Stay updated with the latest trends and advancements in emerging technologies, including AI, blockchain, IoT, and more. Conduct in-depth research and analysis on potential technologies to determine their relevance and potential impact on our business. Collaborate with cross-functional teams to identify technology needs and propose innovative solutions. Develop prototypes and proof-of-concepts to validate new technology applications. Prepare and present reports and recommendations to stakeholders and executive leadership. Participate in strategic planning sessions to align emerging technology strategies with business objectives. UI/UX testing Requirements Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 5 years of experience in technology innovation, product development, or related fields. Strong familiarity with emerging technologies such as artificial intelligence, machine learning, blockchain, and IoT. Proven ability to conduct technology assessments and present findings to diverse audiences. Excellent analytical and research skills, with a demonstrated ability to think strategically. Strong communication and collaboration skills to engage effectively with stakeholders at all levels. Saudi National (only candidates of Saudi nationality will be considered for this role). Preferred qualifications: Master’s degree in a relevant field. Experience in managing technology projects or initiatives. Familiarity with cloud technologies and platforms. Relevant certifications in emerging technologies. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.