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.Intern, Protein Design(m/w/x)
Running and benchmarking protein design methods, validating against experimental data. Master's or PhD in computational biology or related field required. 3-6 months paid exposure with full design-build-test-learn cycle.
Anforderungen
- Master's, PhD, or final-year undergraduate in computational biology, machine learning, biochemistry, biophysics, bioengineering, or related field
- Hands-on experience with modern open-source protein design methods
- Strong Python and PyTorch skills
- Comfortable working with biology data formats
- Working understanding of binding kinetics and developability beyond in silico metrics
- Skepticism of computational scores as ground truth
- Prior open-source contributions to protein design repository (bonus)
- Strong showing in public design competition (bonus)
- Published blog post or paper (bonus)
Aufgaben
- Run and benchmark protein design methods
- Validate methods against experimental data
- Design binders for R&D campaigns
- Track experimental performance metrics
- Build computational tools for design pipeline
- Predict and filter protein structures
- Rank and triage design candidates
- Support open competitions and hackathons
- Draft track briefs for events
- Support and judge competition participants
- Write up competition results
- Contribute open data to Proteinbase
- Write blog posts and designer spotlights
- Compare protein design methods
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Benefits
Sonstige Vorteile
- 3-6 months paid exposure
Startup-Atmosphäre
- Full design-build-test-learn exposure
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.Intern, Protein Design(m/w/x)
Running and benchmarking protein design methods, validating against experimental data. Master's or PhD in computational biology or related field required. 3-6 months paid exposure with full design-build-test-learn cycle.
Anforderungen
- Master's, PhD, or final-year undergraduate in computational biology, machine learning, biochemistry, biophysics, bioengineering, or related field
- Hands-on experience with modern open-source protein design methods
- Strong Python and PyTorch skills
- Comfortable working with biology data formats
- Working understanding of binding kinetics and developability beyond in silico metrics
- Skepticism of computational scores as ground truth
- Prior open-source contributions to protein design repository (bonus)
- Strong showing in public design competition (bonus)
- Published blog post or paper (bonus)
Aufgaben
- Run and benchmark protein design methods
- Validate methods against experimental data
- Design binders for R&D campaigns
- Track experimental performance metrics
- Build computational tools for design pipeline
- Predict and filter protein structures
- Rank and triage design candidates
- Support open competitions and hackathons
- Draft track briefs for events
- Support and judge competition participants
- Write up competition results
- Contribute open data to Proteinbase
- Write blog posts and designer spotlights
- Compare protein design methods
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Benefits
Sonstige Vorteile
- 3-6 months paid exposure
Startup-Atmosphäre
- Full design-build-test-learn exposure
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Adaptyv
Branche
Science
Beschreibung
The company builds advanced molecular biology workflows, assay automation, and software infrastructure for protein design.
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