Director, Computational & Protein Sciences

About the Role

The Director, Platform will lead computational strategy for large serine recombinase (LSR) engineering and clinical translation. This role integrates protein engineering, multi-omics analysis, and AI/ML-driven design.

Qualifications & Skills

• PhD in Computational Biology, Bioinformatics, Protein Engineering, Machine Learning or related quantitative discipline, with 10+ years of industry experience
• Master's with 14+ years of industry experience
• Demonstrated research in protein modeling, protein design, or computational biology through publications, preprints, or equivalent industry contributions
• Hands-on experience applying AI/ML methods to protein variant and library design, including protein language models, structure prediction, and generative design approaches (e.g., AlphaFold2/3, RFdiffusion, ProteinMPNN, ESM)
• Expert-level proficiency in Python and/or R, with deep familiarity with data science libraries (e.g., Pandas, NumPy, Bioconductor, SciPy, PyTorch, or JAX)
• Experience with cloud computing platforms and workflow management systems
• Excellent communication and documentation skills, with a track record of effective collaboration in fast-paced, interdisciplinary environments

Pay Range

$245,000 - $265,000