Sr. Principal Scientist/Principal Scientist, Structure Based Protein Analysis (4796417_La_Jolla)
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, molecular simulation, and AI/ML property prediction models. The candidate will evaluate and create improved computational workflows, and collaborate across departments to generate and analyze high quality datasets to inform design of improved AI/ML prediction models. Other areas of opportunity in our group include AAV based gene therapy and RNA vaccine
optimization, and engineering improved protein scaffolds.
Works with project teams as a primary source of knowledge for structure-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 and/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, gene therapies, and RNA vaccines.
- PhD in biochemistry, chemistry, or a related field and experience in the biopharmaceutical industry.
- Strong track record of structure-based engineering of protein properties (such as stability and binding partner affinity).
- Expertise in one or more commonly used protein structure modeling software packages.
- Programming in a Linux environment using a scripting language such as Perl or Python.
- Working knowledge of bioinformatics tools and databases.
- Conducting research projects in a team setting, presenting results to scientists of varying technical backgrounds.
- Working knowledge of antibody structure and function is a significant advantage.
- Experience with computational RNA structure prediction and/or stabilization.
- Linux systems administration skills and knowledge of HPC environments.
- Knowledge of ML/AI methods.
- Experience with one or more of the following software suites: Schrodinger, Rosetta, Discovery Studio, FoldX.
- Experience integrating multiple scientific software toolkits to develop new analysis workflows usable by colleagues.
- Strong track record of publication in topics involving protein structure analysis.
Other Job Details:
- Eligible for Employee Referral Bonus: YES
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