Intern, Protein Design
New
A
AdaptyvBiotech / Techbio
Remote, or on-site in Lausanne.Full-TimeEntry
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningPyTorch
Requirements
- Currently enrolled in a Master's, PhD, or final-year undergraduate programme in computational biology, machine learning, biochemistry, biophysics, bioengineering, or a related field.
- Hands-on experience with at least one modern open-source protein design method.
- Strong Python and PyTorch skills.
- Comfortable working with biology data formats.
- Working understanding of binding kinetics and developability that extends beyond in silico metrics.
Responsibilities
- Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab.
- Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability.
- Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools down to candidates for synthesis and characterization.
- Support the technical side of our open competitions and hackathons: drafting track briefs, supporting participants, judging submissions, and writing up results.
- Contribute open data, blog posts, designer spotlights, and method comparisons to Proteinbase.
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