Job Description

Who We Are: At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs. What We Do: Neurocrine Biosciences is a leading neuroscience-focused biopharmaceutical company dedicated to discovering and developing treatments for neurological, neuroendocrine, and neuropsychiatric disorders. Our portfolio includes FDA-approved treatments for conditions such as tardive dyskinesia, Huntington's disease chorea, congenital adrenal hyperplasia, endometriosis, and uterine fibroids, with a robust pipeline in clinical development. We leverage our expertise in neuroscience to create medicines that ease the burden of complex diseases. For more information, visit neurocrine.com and follow us on LinkedIn, X, and Facebook. (in collaboration with AbbVie) About the Role: Neurocrine is expanding our R&D chemistry capabilities. You will play a key role in our computational chemistry team, executing methodologies to design optimized compounds across drug discovery phases. You'll collaborate with multidisciplinary teams and have opportunities to impact projects significantly. Required experience includes Molecular Modeling, Pharmacophore Analyses, Library Design, virtual HTS, Diversity/Similarity Analyses, Scaffold Hopping, and success in applying integrated approaches like ML predictions and modeling for compound design. Prior biotech/pharma experience and expertise in Structure-Based Design are preferred. Familiarity with large datasets, druggability assessment, and commercial modeling software such as Schrodinger, CCG, or OpenEye is desirable. Contract Details: This is a 6-month contract. Your Contributions: Lead and support drug discovery projects from early lead identification to late-stage optimization. Develop and implement in-silico modeling platforms and computational methods. Create hypotheses from protein-ligand docking to optimize compounds. Develop ML/AI models for DMPK and in-vitro endpoints. Maintain and update predictive platforms. Support medicinal chemists with computational tools for designing compounds. Enhance rationalization of experimental data and SAR evolution. Identify and develop new computational methods to improve discovery processes. Participate in multidisciplinary teams and stakeholder engagement. Stay current with scientific literature and innovations. Requirements: BS/BA in Chemistry with 5+ years of relevant experience or MS/MA with 3+ years, or 3+ years post-Ph.D. Experience with Machine Learning/AI, Cheminformatics, Protein-Ligand modeling preferred. Strong understanding of scientific principles, laboratory tools, and computational skills. Excellent problem-solving, analytical, and communication skills. Neurocrine Biosciences is an EEOC/Disability/Vets employer. We value a workplace of belonging, respect, and empowerment and encourage diverse applications even if qualifications do not exactly match the outlined requirements. #J-18808-Ljbffr Neurocrine Biosciences

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