Research Scientist, Life Sciences (Computational)

The shape of it

In the posting’s own words

We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery.

What it asks for · 6

• Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience
• Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction)
• Have demonstrated breadth across multiple areas of computational biology
• Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments
• Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on
• Communicate computational results clearly to both biologists and ML researchers

Also a plus

• Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
• Are results-oriented, with a bias towards flexibility and impact
• Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists
• Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data
• Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth

What the job covers

• Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc.
• Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment
• Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up
• Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents
• Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases
• Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty

Degree language

• Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience

Tools and skills named

Words the posting leans on

• computational13×
• biological10×
• research9×
• computational biology7×
• experimental6×
• analysis5×
• data5×
• results5×
• experience4×
• science4×
• scientific4×
• breadth3×
• datasets3×
• deep3×
• design3×
• experiments3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Anthropic

• Account Executive, AI NativeNew York City, NY; San Francisco, CA | New York City, NY
• Account Executive - DNBSingapore
• Account Executive, Public SectorSydney, Australia
• Account Executive - Public Sector (ASEAN)Singapore
• Account Executive, StartupsSan Francisco, CA | New York City, NY
• Accounting, Revenue Internal ControlsSan Francisco, CA | Seattle, WA