Computational Protein Design Scientist

CHARMM is a versatile program for atomic-level simulation of many-particle systems, particularly macromolecules of biological interest. - M. Karplus

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Job Title : Computational Protein Design Scientist

You will :

• Utilize computational modeling techniques to design and predict antibody structures, including homology modeling and de novo design algorithms.
• Conduct in silico analysis to evaluate the binding interactions between antibodies and target antigens e.g., docking, molecular simulations.
• Employ bioinformatics tools and databases to analyze antibody sequence and structure data.
• Experience with solubility and developability algorithms for antibodies is a plus.
• Generate, interpret, and communicate in silico data, and communicate data with the department lead as well as with project teams.
• Contribute to the overall computational antibody strategy for multiple new drug R&D projects and play an active part in its implementation.
• Collaborate with experimental researchers to validate and optimize designed antibodies through in vitro and in vivo assays.
• Keep abreast of the latest developments in computational antibody design methodologies and contribute to the continuous improvement of design strategies.
• Present findings and progress updates to cross-functional teams and participate in project meetings.
• Contribute to scientific publications, external presentations, patents, and grant applications related to computational antibody design.
• Familiar with CHARMM, Rosetta, Gromacs, AlphaFold, ESMfold, RFdesign, ProteinMPNN, Meta dynamics, or FEP calculation.

Requirements :

How to Apply

Please send an email with your CV / resume to luke.kramer@epmscientific.com. I will be sure to respond within 48 hours to set up a time to discuss the role in further detail.

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