Postdoctoral Scientist in Computational Protein Science
About The Position
We are seeking a highly motivated and innovative Postdoctoral Scientist in Computational Protein Science to join our multidisciplinary research team focused on next-generation protein engineering, enzyme discovery, antibody design, and AI-driven modeling. The successful candidate will work at the intersection of computational biology, machine learning, structural bioinformatics, and protein engineering to build large-scale protein sequence-structure-function datasets, develop predictive AI/ML models, and mine novel proteins with targeted biological functions. This role offers the opportunity to contribute to cutting-edge platform technologies in enzymes, antibodies, synthetic biology, and molecular diagnostics. Join us in making a meaningful impact!
Requirements
- Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Computer Science, Biophysics, Protein Engineering, or related field.
- Strong background in protein bioinformatics and computational biology.
- Experience with machine learning/deep learning applied to biological data.
- Proficiency in Python and scientific computing libraries.
- Experience with protein databases and bioinformatics tools.
- Familiarity with structural biology and protein modeling methods.
- Strong analytical, problem-solving, and communication skills.
Responsibilities
- Build, curate, and analyze large-scale protein sequence, structure, and functional datasets from public and proprietary sources.
- Develop pipelines for protein annotation, clustering, alignment, and functional prediction.
- Apply structural modeling tools including AlphaFold, Rosetta, molecular docking, and molecular dynamics simulations.
- Predict and analyze protein folding, binding interfaces, and structure-function relationships.
- Perform computational screening and prioritization of candidate proteins for experimental validation.
- Collaborate with wet-lab scientists to design and validate engineered proteins and biological systems.
- Apply AI/ML methods for protein de novo design, protein optimization, and function prediction.
- Present research findings internally and externally through reports, publications, and scientific conferences.
- Contribute to intellectual property generation, platform development, and scientific publications.
Benefits
- Medical, Dental, Vision, and Life Insurance Coverages
- EAP Sessions
- Vacation Time plus Company Holidays
- Paid Sick Leave
- Generous 401(K) with matching
- Employee Referral Bonus
- Complimentary fruit, snacks, and beverages
- Complimentary catered lunches on Thursdays
- Complimentary EV Charging
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
