Research Scientist, Life Sciences at Anthropic

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, AI, BiotechnologyIndustries

Requirements

At least 8 years of hands-on experience in life sciences R&D, with deep expertise in areas such as molecular biology, drug discovery, or computational biology
Track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
Basic proficiency in Python and familiarity with ML development practices
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Ability to work independently while maintaining strong collaboration with cross-functional teams
Results-oriented, with a bias towards flexibility and impact
Thrive in a fast-paced research environment balancing rigorous scientific standards with rapid iteration
Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
At least a Bachelor's degree in a related field or equivalent experience
Ability to work from the San Francisco office at least 3 days a week (25% of the time)

Responsibilities

Implement a scientific research program that may include both wet-lab and computational components
Design and implement evaluation methodologies for assessing AI model capabilities relevant to biological research and applications
Develop and execute strategies to systematically improve model performance on scientific tasks
Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
Translate between biological domain knowledge and machine learning objectives

Skills

Key technologies and capabilities for this role

molecular biologydrug discoverycomputational biologyPythonmachine learningwet-labAI model evaluationscientific research

Questions & Answers

Common questions about this position

What experience is required for the Research Scientist role?

Candidates need at least 8 years of hands-on experience in life sciences R&D with deep expertise in areas such as molecular biology, drug discovery, or computational biology, plus a track record of bridging biological knowledge with computational approaches.

What technical skills are needed for this position?

Basic proficiency in Python and familiarity with ML development practices are required, with strong candidates also having familiarity with modern machine learning techniques, biological databases like UniProt and GenBank, and computational biology tools.

What is the work environment like at Anthropic's Life Sciences team?

The team is a quickly growing group of committed researchers and engineers in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration, navigating ambiguity and thriving in rapidly evolving settings.

Is this role remote or office-based?

This information is not specified in the job description.

What makes a strong candidate for this Research Scientist position?

Strong candidates have a Ph.D. in a biological science or equivalent, published research in scientific AI applications, familiarity with ML techniques and biological databases, and can work independently while collaborating cross-functionally in a results-oriented way.

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$11,482.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.

Technological lag behind competitors like OpenAI may impact market position.

Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.

Claude, Anthropic's AI assistant, is designed for tasks of any scale.

Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.

Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.

Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

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