The Role: We are looking for a dynamic and innovative computational chemist to join our team and advance our small molecule drug discovery programs. Reporting to the Director of Computational Chemistry, you will play a key role in shaping our computational chemistry strategy, selecting tools, and optimizing workflows to move from hit identification to lead optimization and candidate selection. You’ll use cutting-edge in silico screening and both ligand-based and structure-based design methods to drive our advanced approach in GPCR drug discovery. Collaborating closely with teams in Medicinal Chemistry, Structural Biology, and Research Informatics, you’ll also have the chance to work with external computational experts and a talented internal team dedicated to developing transformative therapeutics for patients. Qualifications Ph.D. in computational chemistry, chemical informatics, physical organic chemistry, biophysics, or related field with 2-8 years of industrial experience applying their skills to small molecule drug design. Requirements Experience in computational chemistry drug design and optimization approaches including ligand-based (pharmacophore modeling) and structure-based (docking based on X-ray/Cryo-EM structures and homology models) methods, an appreciation of MD simulation and free energy perturbation calculations, and the ability to effectively leverage predictive models (for potency and additional drug property features). Knowledge of in silico virtual screening towards hit-id. Data analysis of chemical HTS and DEL-library screens is a plus. Experience in chemical informatics and modern machine learning techniques for drug discovery is a plus. An ability to collaborate cross-functionally with scientific colleagues in medicinal chemistry (to evolve new design hypotheses), structural biology (to generate structural hypotheses; low-resolution structure refinement a plus) and research informatics (contributions to the analysis, sharing and visualization of all data is a plus). Outstanding communication skills with demonstrated ability to make effective presentations in a broad range of settings, and strong collaboration, and organizational skills. The successful candidate will be motivated to discover new disease-modifying therapeutics for patients and enjoy working in a fast-paced dynamic team environment. The anticipated salary range for candidates who will work in South San Francisco, CA is $130,000 - $160,000. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location and relevant education or training. Septerna's compensation package also includes benefits, stock options, and annual target bonus for full-time positions. #J-18808-Ljbffr Septerna
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