Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Backed by Accel, Bessemer and General Catalyst.
About the role
As a Senior Software Engineer on the Life Sciences team, you'll build biology software that our own scientists and the wider research community can depend on, and you'll be one of the main people representing that work to computational biologists outside Anthropic. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Have built, released, and maintained biology software that researchers outside your own group use, with evidence of adoption you can point to (for example public repositories, package downloads, citations, or use in other groups' pipelines)
- Have deep working expertise in genomics or structural biology, including the data types, file formats, standard tools, and common failure modes of at least one of these fields
- Are proficient in Python and comfortable working with large datasets in Linux and cloud or cluster computing environments
- Practice rigorous testing and release engineering: unit and integration tests, continuous integration, validation against reference data, packaging, and versioning
- Use AI coding tools as a central part of how you build software, and can show how you verify the correctness and performance of code you did not write by hand
- Have led a technical project with multiple contributors, setting direction and reviewing others' work while continuing to write code yourself
More about this role
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.
As a Senior Software Engineer on the Life Sciences team, you'll build biology software that our own scientists and the wider research community can depend on, and you'll be one of the main people representing that work to computational biologists outside Anthropic.
The Life Sciences team works to accelerate progress in biology with AI, combining frontier models with hands-on computational and experimental research. We want the tools, pipelines, datasets, and benchmarks we build in genomics and structural biology to be useful beyond our own projects, so we plan to release them to the community. Computational biology has a long tradition of open, shared software, and we want to contribute to it well. Every release should be something a researcher can install, run on their own data, and trust: correct on real inputs, validated against reference data and established...
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