About the role#
Adaptyv is seeking a Protein Design Intern to work at the intersection of AI and wet lab experimentation. This role focuses on bridging the gap between computational protein design and physical validation. You will contribute to internal R&D campaigns, develop computational pipelines, and support community-driven initiatives like hackathons and Proteinbase.
What you'll do#
- Run and benchmark open-source protein design methods against experimental data generated in our wet lab.
- Design binders for internal R&D projects while tracking performance metrics including success rate, hit rate, kinetics, and developability.
- Develop computational tooling for structure prediction, filtering, and ranking to refine large design pools for synthesis.
- Support the technical execution of open competitions and hackathons, including drafting briefs and judging submissions.
- Contribute content to Proteinbase, such as open data, blog posts, and method comparisons.
What you'll need#
- 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 proficiency in Python and PyTorch, with comfort working with biological data formats.
- A working understanding of binding kinetics and developability that goes beyond in silico metrics.
- Bonus qualifications include prior open-source contributions to protein design repositories, success in public design competitions, or published research.
Location & details#
- This is a paid, full-time internship with a duration of 3 to 6 months.
- The role is available as remote or on-site in Lausanne, Switzerland. On-site work is preferred for those seeking full exposure to the design-build-test-learn cycle.
- Applications are reviewed on a rolling basis.
