Computational Biologist

Job Summary

We are seeking a Computational Biologist II with deep expertise in protein modeling and engineering. This requisition is focused on candidates who excel at computational protein design, who want to be part of a team focused on optimizing and testing protein structure-function relationships to solve real-world problems, and who thrive in fast moving, multidisciplinary R&D environments.

Responsibilities

• Protein Engineering / Protein Modeling (Primary Focus)
• Design, plan, and lead computational tasks for small multidisciplinary project teams
• Provide technical leadership and mentoring within protein engineering efforts
• Present results and technical updates to internal teams, collaborators, and external sponsors
• Contribute to and/or lead development of scientific publications, conference presentations, and proposals
• Identify new technical opportunities and contribute to the growth of protein engineering and computational biology capabilities
• Support administrative and project management tasks that ensure timely and high quality project delivery

Key Qualifications

• Bachelor’s degree in related field with 2 years of experience or master’s degree in related field; or an equivalent combination of education and or experience in a related field.
• Ph.D.; or M.S. plus 5 years of experience; or B.S. plus 10 years of experience in biochemistry, biophysics, computational biology, structural biology, or a closely related field.
• Deep expertise in computational protein engineering, including AI/ML enabled protein design, structural modeling, or optimization.
• Extensive expertise using protein design tools (e.g. RFdiffusion, ProteinMPNN, AlphaFold, Rosetta based workflows, etc.) for protein-binder and enzyme design.
• Demonstrated ability to reproducibly script and code using Python and/or Bash/Unix shell.
• Experience with scientific computing and data analysis libraries (e.g., NumPy, pandas, SciPy, PyTorch/JAX, matplotlib).
• Hands on experience installing, maintaining, and operating open source protein modeling and simulation tools.
• Experience with containerized software environments (e.g., Conda, Docker, Apptainer/ Singularity).
• Strong fundamental understanding of protein biochemistry and common laboratory procedures relevant to protein expression, purification, and characterization.
• Prominent ability to work effectively in multidisciplinary team environments.
• Proven ability to work independently and troubleshoot technical challenges.
• Strong written and oral communication skills.

Benefits

• Livin' Extraordinary Life: Comprehensive and competitive benefits to help you live your best life.
• Flexibility: Compressed work schedule, hybrid arrangement, paid time off, wellness incentives, and optional supplemental benefits.
• Financial Stability: Industry-leading 401(k) retirement savings plan.
• Education: Tuition assistance for pursuing higher education.