We are seeking a creative, self-motivated computational chemist with exceptional interpersonal and problem-solving skills to join our Modeling and Informatics (M&I) team. As part of the Discovery Chemistry family, M&I employs state of the art capabilities in predictive sciences, AI/ML and structure-based drug design to accelerate our invention of transformative therapeutics for patients. We’re expanding our capabilities in peptide computational chemistry to support our ambitious strategy for next-generation therapeutic discovery. We are seeking a strategic thinker and accomplished computational drug hunter to take on leadership of our peptide modeling capability. This will be a network-facing position, and will be working across geographical and departmental boundaries to advance our computational capabilities for one of our high investment modalities: macrocyclic peptides. This position will carry significant influence on our discovery organization, from target identification through delivery of clinical candidates across our fast-growing peptide project portfolio. With in-house access to the most innovative screening techniques, and world-class medicinal chemistry, this position offers a wealth of opportunities to impact our discovery pipeline and ultimately save and improve patient lives. Key responsibilities include scientific innovation in design and optimization of peptide drug candidates using advanced computational techniques, advancing peptide modeling capabilities through novel computational methodologies, coordinating with adjacent functional teams to implement new methods and workflows, functioning as a subject matter champion for ligand- and structure-based drug design, building relationships as a trusted partner for Discovery Chemistry and adjacent functions, contributing to scientific growth and development of colleagues, and leading strategic initiatives to enable future vision for computational chemistry approaches for drug discovery. The role requires a Ph.D. or M.S. degree in chemistry, biochemistry, biophysics, or equivalent with computational emphasis, with 8 years (Ph.D.) or 11 years (M.S.) relevant experience, exceptional communication skills, expertise in molecular modeling techniques and software, scientific programming skills, and a passion for mentoring. The position supports a hybrid work model with three days on-site per week and one remote day, with some travel (10%) required. The company is committed to diversity, inclusion, and equal opportunity employment.
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