Intern, Protein Design
Adaptyv · Lausanne / Hybrid / Remote
About this role
**Intern, Protein Design** Adaptyv is building an automated lab that lets AI agents run biology experiments. We’re hiring an intern to help scale and support AI-driven wet lab experimentation—especially around protein design. **Responsibilities** - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against wet-lab experimental data. - Design binders for internal R&D campaigns; track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline (structure prediction, filtering, ranking) to triage large design pools down to candidates for synthesis and characterization. - Support the technical side of open competitions and hackathons (draft track briefs, support participants, judge submissions, write up results). - Contribute open data, blog posts, designer spotlights, and method comparisons to Proteinbase. **Qualifications** - Currently enrolled in a Master’s, PhD, or final-year undergraduate program 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 beyond in silico metrics, with healthy skepticism of computational scores as ground truth. - **Bonus:** prior open-source contributions, strong showing in a public design competition, or a published blog post/paper. **Details** - Duration: **3–6 months** (paid) - Location: **Remote** or **on-site in Lausanne** (Lausanne preferred for lab access and full design-build-test-learn exposure) - Application: **Rolling basis** **How to apply** - Include a link to a **GitHub repository**, **competition submission**, **blog post**, or other concrete work demonstrating your approach to protein design.
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