Intern – Research – Protein Therapeutics, Computational Biologics Engineering
Core
Intern contributing to generative protein design workflows for antibody- and miniprotein-based therapeutic candidates.
Role type
Research intern (computational biologics)
Builds
Computational workflows for candidate generation, prioritization, and analysis
Domain
Biopharmaceuticals / Computational Biology / AI for Science
Deliverable
production ML models | product features
Required skills
Python, generative protein design, molecular modeling, structure-based design, AI/ML methods, data visualization
Preferred skills
PyTorch, TensorFlow, HPC job submission, antibody engineering, miniprotein design, structure-guided protein design
Technologies
Rosetta, MOE, Schrödinger, PyMOL, Chimera
Responsibilities
Apply generative protein design workflows to produce and evaluate biologic-based binders; Build reproducible Python-based workflows for large-scale protein design and data visualization; Apply physics-based modeling tools to assess binding energetics; Explore protein language model representations to predict candidate properties; Advance top designs to recombinant expression and experimental characterization; Document workflows, results, and recommendations; Showcase work with a final presentation
Seniority
Intern