Source description
About the role
Bachelor’s or Master’s degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
Hands-on experience developing machine learning systems using PyTorch
Familiarity with undergraduate-level organic chemistry; you do not need to be a chemist, but should be comfortable working with molecular structures and chemical concepts
Ability to communicate effectively with scientific collaborators from non-programming backgrounds
Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
We are particularly excited to bring in people who enjoy turning research ideas into tools that scientists actually use. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Preferred Qualifications
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Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
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Familiarity with LLM tooling, AI agents, or agent development frameworks
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Background in cheminformatics, computational biology, bioinformatics, or related fields
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Experience working in a startup, research, or other highly iterative technical environment