Research Scientist, Life Sciences (Large Molecules, Process Development) (Biotech)
Контакты
300 000 - 320 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
aipythonstartupcmcformulationchromatographylaboratory automationprotein purificationmammalian cell cultureanalytical characterizationantibody process development
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Чётко очерченная специализация объединяет разработку биопрепаратов с AI-исследованиями; главный компромисс - обязательная работа в офисе.
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Только офисЗарплата выше рынкаНа стыке AI и биотехаПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Scientist, Life Sciences (Large Molecules, Process Development) (Biotech): Building and running antibody expression, purification, characterization, and formulation workflows that connect AI-generated sequences with experimental data, with an accent on biologics process development, manufacturability, and IND-enabling CMC. Focus on scaling protein production from high-throughput screening to gram quantities, evaluating stability and aggregation, and coordinating analytical methods, technology transfer, and external manufacturing.
Location: Fully on-site in the San Francisco Bay Area, United States
Annual salary: $300,000–$320,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems and applies AI to biological discovery through its Life Sciences team.
What you will do
Develop end-to-end expression, purification, and formulation processes for antibodies and other recombinant proteins using mammalian cells, affinity capture, chromatography, buffer exchange, and formulation.
Characterize proteins using analytical methods including SEC, CE-SDS, icIEF, LC-MS, DLS, thermal stability, endotoxin, SPR, and BLI.
Build and qualify a protein production laboratory with workflows scaling from plate-based production of hundreds of designs to gram quantities of a lead.
Evaluate AI-designed antibodies for titer, aggregation, stability, viscosity, chemical liabilities, and manufacturability, then feed experimental results back to research teams.
Plan the CMC path toward IND-enabling studies, including cell line development, scale-up, analytical methods, stability, technology transfer, and external manufacturing.
Document experimental data, batch records, methods, raw data, and failure modes, and communicate findings to biology, AI research, and life sciences audiences.
Requirements
PhD in biochemical engineering, chemical engineering, biochemistry, or a related field.
Demonstrated experience developing and manufacturing antibodies or other recombinant proteins, including material for IND-enabling or clinical studies, with recent, sustained hands-on laboratory work.
Ability to navigate ambiguity and define problems in a rapidly evolving research environment.
Ability to work independently and collaborate effectively across cross-functional teams, with strong written and verbal communication skills.
Minimum education is a bachelor’s degree or equivalent combination of education, training, and/or experience; the field of study must be relevant through coursework, training, or professional experience. Required experience correlates with internal job-level requirements.
Nice to have
5+ years of biologics process development experience beyond the PhD.
Experience across upstream development, including cell line development and bioreactors, and downstream development, including chromatography and filtration, with working knowledge of analytical and formulation development.
Experience establishing protein production or process development laboratories, including laboratory automation and high-throughput plate-based expression and purification.
Experience directing technology transfer and GMP manufacturing at contract development and manufacturing organizations, with contributions to CMC sections of an IND.
Statistics or coding skills, such as design of experiments or Python for data analysis and automation.
Experience using AI or ML tools in the life sciences.
Work as part of a collaborative research organization focused on large-scale AI and life sciences efforts.
Benefits include competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
Anthropic currently expects staff to be in one of its offices at least 25% of the time, while this role specifically requires full-time on-site work in the San Francisco Bay Area.
Visa sponsorship is available, although sponsorship cannot be guaranteed for every role and candidate; immigration counsel supports the process.
Hiring process
Follow Anthropic’s policy on candidate AI usage during the application process.
Apply through confirmed Anthropic career openings and verify recruiter communications come from @anthropic.com or identified vetted recruiting agencies.
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