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Principal Scientist, Computational Biotherapeutics Engineering
Pfizer - La Jolla, CA
posted 16 days ago
About the position
We are seeking a protein structure modeling expert to design industry-leading biotherapeutics as part of Pfizer's BioMedicine Design team. The successful candidate will join project teams to optimize protein-based therapeutic leads (such as antibodies, multi-specifics, and fusion proteins) in early through late discovery, primarily using protein structure, AI/ML property prediction models, and molecular simulation. The candidate will evaluate and create improved computational workflows and collaborate across departments to inform design of improved AI/ML prediction models. Other areas of opportunity in our group include therapeutic RNA optimization and engineering improved protein scaffolds.
Responsibilities
- Works with project teams as a primary source of knowledge for structure and AI-based computational analysis of protein biotherapeutic leads and provides optimized designs.
- Effectively communicates results and recommendations to colleagues with diverse scientific backgrounds.
- Evaluates/implements new or improved methods to increase throughput or accuracy of molecular modeling workflows.
- Analyzes data sets to discover relationships between protein structure and key pharmaceutical properties.
- Engineers improved general platforms for protein therapeutics and RNA vaccines.
Requirements
- PhD in biochemistry, chemistry, or a related field and experience in the biopharmaceutical industry.
- Strong track record of protein design and/or property optimization using computational methods (preferably both structure and AI/ML based), including publication.
- Experience using, and probing the limits of, AI tools for protein design and/or property prediction.
- Conducting research projects in a team setting and effective presentation of computational results to scientists with experimental backgrounds.
- Expertise in one or more commonly used protein structure modeling software packages.
- Programming in a Linux environment using Perl, Python, Matlab, Jupyter Notebook, or equivalent tools.
- Working knowledge of bioinformatics tools and databases.
Nice-to-haves
- Working knowledge of antibody structure and function.
- Experience with computational RNA structure prediction and/or property optimization.
- Linux systems administration skills and knowledge of HPC environments.
- Experience with one or more of the following software suites: Schrodinger, Rosetta, Discovery Studio, FoldX, MOE.
- Experience integrating multiple scientific software toolkits to develop new analysis workflows usable by colleagues.
Benefits
- 401(k) plan with Pfizer Matching Contributions
- Paid vacation
- Holiday and personal days
- Paid caregiver/parental and medical leave
- Health benefits including medical, prescription drug, dental and vision coverage
