Наука и R&D вакансии

Amrita Vishwa Vidyapeetham at the Amritapuri Campus is seeking qualified individuals to join as Research Trainees. Candidates will be involved in research activities as part of their role. The position requires applicants to meet certain qualifications, though specific details about the tasks and requirements are provided on the official website.

Задачи: — Проводить контроль качества сырья, вспомогательных материалов, полупродуктов на промежуточной стадии производства по утвержденным показателям. — Проводить контроль качества субстанций и готовых лекарственных форм. — Осуществлять анализ образцов при изучении стабильности лекарственных средств. — Вести текущую документацию и протоколировать результаты измерений и испытаний. — Осуществлять необходимые расчеты по проведенным анализам, испытаниям и исследованиям, анализировать полученные результаты. — Соблюдать порядок подготовки к работе и эксплуатации установленного оборудования. — Принимать участие в проведении аттестации/проверки контрольно-измерительных приборов. — Принимать участие в разработке методик анализа, внутренней нормативной документации. — Составлять список расходных реактивов и материалов, необходимых для деятельности ОКК. Требования: — Высшее образование (фармацевтическое, химическое, биологическое, медицинское). — Опыт работы в отделе контроля качества от 3 лет. — Знание правил и норм GMP, физико-химических методов анализа. — Умение работать на ВЭЖХ, ГХ (детектор ПИД), ИК, СФ, работать с весами 5-го знака. — Владение ПК: MS Office (Word, Excel), Labsolution, Openlab CDS. — Английский язык – навыки чтения технической документации. — Высокая обучаемость, ответственность, внимательность, умение работать в коллективе. Условия: — Оформление по ТК РФ, полный соц.пакет. — График работы: 5/2, с 9:00 до 18:00. — Место работы: Москва, м. Лухмановская. — Полис ДМС включая стоматологию после испытательного срока (3 мес.).

Задачи: — Поиск и сбор релевантной информации по заданиям команды: компании, конкуренты, лиды, поставщики, партнёры, форумы, отзывы, объявления и другие источники. — Поиск кандидатов, поставщиков и партнёров через LinkedIn, job boards, доски объявлений, профильные форумы и специализированные площадки. — Поиск информации на тематических форумах, в Telegram, Discord и других нишевых сообществах. — Проведение первичного outreach: установление контакта, ведение диалога и получение необходимой информации. — Создание и ведение рабочих аккаунтов на необходимых площадках под конкретные задачи. — Использование инструментов массового поиска, фильтрации, парсинга и базовой автоматизации. — Работа с AdsPower и аналогичными инструментами при необходимости. — Работа с proxy и инструментами для доступа к региональным ресурсам в рамках законодательства и внутренних правил. — Проверка и верификация найденной информации по нескольким источникам. — Работа с большими массивами информации: из большого количества источников выделять 3–7 действительно релевантных и обосновывать выбор. — Подготовка структурированных отчётов: ссылка → краткая выжимка → приоритет → рекомендация. — Передача команде найденных контактов, информации и рекомендаций по дальнейшим действиям. Требования: — Опыт в internet research / sourcing от 1–2 лет. — Опыт OSINT будет большим преимуществом, но не является обязательным. — Сильные навыки поиска информации в интернете, в том числе через нестандартные и нишевые источники. — Уверенная работа с LinkedIn, job boards, досками объявлений, форумами и другими профильными площадками. — Опыт поиска информации через Telegram, Discord и тематические сообщества. — Умение создавать и вести рабочие аккаунты на различных платформах. — Базовое владение инструментами парсинга и автоматизации. — Опыт или понимание работы с AdsPower и аналогичными инструментами. — Понимание принципов работы proxy. — Умение проверять достоверность и актуальность найденной информации. — Сильные аналитические навыки: способность из большого массива данных выделять действительно ценную информацию. — Умение самостоятельно устанавливать контакт, вести диалог и получать необходимую информацию. — Английский — Intermediate+ для работы с англоязычными источниками и ведения переписки. — Ответственность, самостоятельность, внимательность к деталям и соблюдение конфиденциальности. — Гибкость и хорошие коммуникативные навыки.

Задачи: — разработка математической модели кейсов; — расчёт и настройка RTP, EV, House Edge; — расчёт вероятностей выпадения предметов; — variance / volatility и распределение выигрышей; — калибровка вероятностей под заданный RTP; — Monte-Carlo симуляции на 1–10+ млн открытий; — анализ экономики и прибыльности на большой дистанции; — оценка рисков и необходимого банкролла/резерва; — автоматический пересчёт модели при изменении рыночных цен CS2-скинов; — математическая проработка дополнительных игровых механик. Требования: — сильное понимание теории вероятностей и математической статистики; — опыт в iGaming, Game Math, Loot Boxes, Case Opening, RNG или игровой экономике; — будет плюсом: Python / NumPy; — опыт Monte-Carlo моделирования; — практический опыт работы с RTP и House Edge; — понимание экономики CS2-скинов; — примеры реализованных математических моделей. Условия: — долгосрочный проект; — после разработки базовой модели планируется постоянная работа над новыми режимами, механиками и балансом. При отклике нужно прислать кратко: опыт, примеры подобных проектов/расчётов, используемый стек и ориентировочную стоимость работы.

Требования: — Образование: BTech, предпочтительно в области ECE — Навыки работы с MATLAB — Опыт: минимум 0 лет

Задачи: — находить новые игровые проекты и студии в целевых жанрах — исследовать мобильные игры на рынке — собирать релевантную информацию и контакты — передавать информацию команде BizDev Требования: — сильные аналитические и навыки поиска информации — базовое понимание рынка мобильных игр — страсть к играм — внимательность к деталям — знание английского языка на уровне A2+ Условия: — фриланс, 8–10 часов в неделю на постоянной основе — оплата по KPI, достигнутым каждый месяц — легко совмещать с работой или учебой — возможность роста в команде Процесс найма: тестовое задание, интервью с командой

Задачи: — развивать методику тестирования серверов — проводить техническую оценку серверов, barebone-платформ и самосборных конфигураций — оценивать влияние платформы на ЦОД

Задачи: — Контроль качества производимых медицинских изделий на всех этапах производства — Выполнение лабораторных анализов, испытаний, измерений и других видов исследований — Ведение работ по учету реактивов и расходных материалов, прекурсоров; заказ реактивов и материалов — Взаимодействие со сторонними лабораториями — Контроль и обеспечение своевременного метрологического обеспечения лаборатории и производства — Контроль за уборкой производственных помещений, организация мероприятий по программе Пест-контроль — Воспроизведение методов лабораторного анализа — Участие в валидации процессов и аналитических методик — Составление аналитических протоколов — Участие во внутренних проверках Требования: — Высшее образование (химическое, химико-технологическое, химико-фармацевтическое, фармацевтическое) — Опыт работы в лаборатории от 1 года — Хорошие базовые знания в области химии — Владение современными методами контроля качества продукции, сырья и материалов — Владение титрометрическими и хроматографическими методами исследований — Опыт в проведении работ и составлении отчетов и протоколов по валидации аналитических методик (приветствуется) — Личные качества: доброжелательность, ответственность, аккуратность, исполнительность, пунктуальность, грамотность, внимательность, готовность и желание обучаться, умение работать в команде — Навыки работы в чистых зонах (желательно) Условия: — Работа в стабильной, динамично развивающейся компании — Оформление согласно ТК РФ, своевременная выплата заработной платы, оплачиваемый отпуск 28 календарных дней — Отличный коллектив, демократичное руководство, поддержка руководства компании — Удобное расположение офиса, 3 минуты от метро Румянцево, Бизнес-парк Румянцево — График работы: пятидневный режим работы понедельник - пятница; суббота, воскресенье - выходной, с 08-00 до 17-00 — Уютный офис с кухней, чай, кофе за счет компании — Частичная компенсация питания — Материальная помощь при значимых событиях — Корпоративные мероприятия

Anthropic Fellows Program overview: The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews. 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 plus benefits varying by country — Funding for compute (~$15k/month) and other research expenses Interview process: Includes initial application and reference check, assessments and interviews, and a research discussion. Compensation: Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension. The Anthropic Institute Fellows (Economics & Policy): Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker). Projects may include: — Designing and conducting empirical research on AI's economic effects using external data sources — Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society — Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale — Measuring model performance increases with custom harnesses — Identifying market-driven mechanisms to improve societal resilience to AI threats — Identifying AI R&D metrics as early warning signals for recursive self-improvement Candidate criteria: — Interest in economics or policy research; prior experience is a plus but not required — Adaptable and collaborative, able to take direction and contribute to team priorities — Skilled at writing and communicating results, including null or unexpected findings — Passionate about translating research insights into actionable recommendations for AI systems and policy Good fit if: — Motivated to ensure AI is safe and beneficial for society — Interested in transitioning into AI research and possibly a full-time role at Anthropic — Strong track record of empirical research — Thrives in fast-paced, collaborative environments — Can implement ideas quickly and communicate clearly Requirements: — Fluent in Python programming — Available full-time for the Fellows program Logistics: — Must have work authorization and be located in the US, UK, or Canada during the program — Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada — No visa sponsorship available; candidates must have or obtain full-time work authorization independently — Program duration is 4 months full-time; partial commitments considered case-by-case Additional notes: — The program encourages applications from underrepresented groups and those who may doubt their qualifications. — Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. — Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.

Точка Банк — финтех-компания, которая создаёт продукты для предпринимателей и предприятий. Вакансия Research Engineer с удалённой работой или возможностью работать в любом офисе компании в городах присутствия. Зарплата до 600 000 рублей в месяц. Подробное описание вакансии доступно по ссылке: https://hr.tochka.com/vacancies/catalog/research_engineer/?utm_source=linkedin&utm_medium=social&utm_campaign=free_channels.

Heliax is a remote-first company that researches, develops, deploys, and maintains open-source protocols and mechanisms to serve everyday needs, including Anoma and Namada projects. Applicants must be based in Europe (including the UK) and willing to travel to Berlin for initial onboarding. Responsibilities: — Design new cryptographic protocols (e.g. shielded state sync) to meet specified information flow, security, and performance goals. — Evaluate and analyze existing cryptographic protocols and proof systems (e.g. zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM) for security, expressivity, and performance. — Update, reimplement, and combine cryptographic protocols, customizing them for proofs-of-concept and production use-cases. — Produce comprehensive technical specifications for cryptographic designs and collaborate with engineers on implementations. — Implement, review, and test cryptographic operations and protocols, primarily in Rust, and evaluate implementations for correctness and performance. Requirements: — Mathematical and/or cryptographic background in relevant subfields (complexity theory, abstract algebra, cryptographic protocol design). — Expertise (formal or informal) in constructive protocol design and analysis of distributed cryptographic protocols. Nice to have: — Published papers in mathematics, theoretical CS, and/or cryptography. — Experience with distributed systems and/or operating systems architecture/design. — Experience with Zerocash/Zexe/VeriZexe and related architectures. — Academic qualifications in a relevant field (cryptography or mathematics). Stack includes Rust, zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM, Arkworks, elliptic curves, hash functions, DKG, threshold encryption. Benefits: — Relocation and visa assistance for Germany. — High degree of independence in working conditions and task prioritization. — Work closely with a small cross-disciplinary team on research-led projects. — Opportunity for travel, including initial onboarding in Berlin.

Задачи: — Проводить химические анализы субстанций, вспомогательных веществ, очищенной воды, воды инъекционной, полупродуктов и готовой продукции, промывных вод после очистки оборудования. — Оформление в соответствии с правилами GMP документации на проделанные анализы. — Разработка и актуализация стандартных операционных процедур по проведению химических анализов, спецификаций и инструкций по эксплуатации оборудования, в рамках своей компетенции. — Изучение стабильности лекарственных средств в процессе хранения. — Выдача заключения по данным анализа о соответствии сырья, полупродуктов и готовой продукции требованиям нормативной документации и заводской спецификации. Требования: — Высшее профессиональное образование (химическое, биохимическое, физико-химическое, фармацевтическое, биотехнологическое, экологическое). — Правила GMP и GLP, относящиеся к сфере его деятельности. Условия: — Конкурентная оплата труда. — Оформление в соответствии с ТК РФ. — График работы 5/2 (с 08:00 до 16:30, пятница до 15:30). — Корпоративная столовая, буфет - льготное питание. — Санаторно-курортное лечение. — Предприятие находится в пешей доступности от м. Авиамоторная (БКЛ, Калининско-Солнцевской линии): г. Москва, Шоссе Энтузиастов, д. 23, стр. 29

AI Research Lab 42 разрабатывает автономного AI Scientist — систему, способную самостоятельно формулировать гипотезы, проводить эксперименты и находить решения. Первый фокус лаборатории — финансовые рынки: AI-система работает как автономный трейдер, а полученный капитал финансирует дальнейшие исследования. Параллельно лаборатория ведёт исследования в области биологии человека, нейротехнологий и фундаментальной физики. В trading research открыто 3 позиции: TradFi Research Lead Задача — построить и возглавить research-направление в traditional markets: разрабатывать MFT-стратегии, строить портфели и risk/execution models, выводить стратегии в production. Требования: 5+ лет в systematic quant research, подтверждённый track record прибыльных MFT-стратегий, опыт с equities / futures / options / FX, опыт лидерства обязателен. AI Researcher — Autonomous Research Задача — перейти от ручного quant research к автономной agent-driven системе, которая сама генерирует гипотезы, тестирует и оптимизирует стратегии. Требования: MFT/HFT researcher с сильным пониманием market microstructure, статистики и Python/ML, способный формализовать research-процесс для автоматизации. Quantitative Researcher — Crypto MFT Задача — полный цикл разработки medium-frequency crypto strategies: от поиска alpha и backtesting до production и мониторинга live performance. Требования: 2+ лет в systematic trading, опыт запуска стратегий в live, глубокое понимание crypto market structure (spot, perps, funding), сильные Python, statistics и ML/DL. Условия: — Работа удалённо по B2B контракту — Через полгода релокация в Амстердам по high skilled migrant visa — Оформление в голландскую компанию с 30% налоговым рулингом

Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs for 4 months full-time, with a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits and funding for compute (~$15k/month) and other research expenses. Fellows receive direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley, California or London, UK, and connection to the broader AI safety and security research community. Interview process includes initial application and reference check, technical assessments and interviews, and a research discussion. Candidates are encouraged to apply even if they do not meet every qualification. The program values diversity and representation. Fellows workstreams include AI Safety Fellows, AI Security Fellows, ML Systems & Performance Fellows, Reinforcement Learning Fellows, and The Anthropic Institute Fellows (Economics & Policy). Candidates may be considered for all workstreams by default and can specify preferences. General candidate criteria: motivated by AI safety and societal benefit, strong technical background in computer science, mathematics, or physics, ability to implement ideas quickly and communicate clearly, fluent in Python, and available full-time for the program. AI Safety Fellows focus on research areas such as scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, and AI welfare. Mentors include Sam Bowman, Sara Price, Alex Tamkin, and others. Candidates with experience in empirical ML research, large language models, and open-source contributions are a good fit. AI Security Fellows focus on reducing catastrophic risks from advanced AI systems, with mentors like Nicholas Carlini and Keri Warr. Candidates with experience in pentesting, vulnerability research, offensive security, CVE reporting, bug bounties, and empirical ML research are preferred. Logistics: applicants must have work authorization and be located in the US, UK, or Canada during the program. Shared workspaces are available in London and Berkeley, with remote options in these countries. Visa sponsorship is not provided. The program duration is 4 months full-time, with possible extensions. Strong performance may lead to full-time offers at Anthropic, though not guaranteed. Applications are currently closed and will be updated when reopened. The program is managed by Constellation recruiting partner. The description includes policies for full-time roles which do not apply to the Fellows Program. Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, equity donation matching, vacation and parental leave, flexible hours, and office space. The company emphasizes collaborative, high-impact AI research with a focus on steerable, trustworthy AI.

Plata is a Mexican fintech startup specializing in consumer lending through the Plata Card. Work format: Remote (GMT-2 – GMT+5) or on-site. Flexible working hours. Relocation support available for Serbia, Georgia, Mexico, or Colombia.

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

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: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Summary GiveWell is seeking a Senior New Areas Researcher to help direct tens of millions of dollars annually to the most cost-effective interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. The New Areas team grantmaking is divided into three workstreams: i) our core cause areas: areas for which we devote a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a large portfolio of grants (e.g., family planning, maternal and newborn health, tuberculosis and HIV); ii) our emerging cause areas: a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants (e.g., medical oxygen, applications of AI to global health); and iii) our incubators: supporting the Clinton Health Access Initiative’s Incubator and Evidence Action’s Accelerator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. As a Senior New Areas Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We're open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on new areas. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell new areas team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. What you might work on in your first year: Tackle thorny research questions in our existing portfolios. For example: to what extent could programs which distribute oral rehydration solution to reduce diarrheal deaths inadvertently induce exclusively breastfed children to consume poor quality water? How can we estimate the risk of reinfection after a child has completed a course of tuberculosis preventive treatment? How can we account for these concerns in our cost-effectiveness estimates? Design and oversee learning grants. You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models. Build our evidence base in new programmatic areas. This includes synthesising existing research, commissioning new reviews, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking. Provide research support to grantmakers. You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund — stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation. The Senior New Areas Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work. Team structure Our research department has ~70 people, and is currently organized into eight teams: Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you We expect the Senior New Areas Researcher to have A quantitatively oriented advanced degree (e.g., in epidemiology, public health, economics, or a related field). Substantial professional experience in global health, or an adjacent field (broadly defined). This could include direct experience with program design, monitoring, or evaluation; epidemiology; cost-effectiveness modelling of health interventions; or work in program implementation or funding at a bilateral, multilateral, or NGO. We're especially interested in candidates who enjoy being generalists: you are able to get up to speed quickly on new topics and you feel comfortable task-switching. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have new areas expertise, consider applying to our generalist Senior Researcher role, or our Researcher role if you have limited post-graduation experience. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000 International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage. Benefits: Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year, plus a one week organization-wide summer break 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for. Visa sponsorship: The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas. Why we work this way: Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. Miscellaneous details: Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. We have a strong preference for full-time applicants, but we’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time. If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our website . You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 340,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s recent interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell's Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell's Work Trial Policy .