reputed company - Sr. Scientist, Computational Chemistry (6 month contract)
Who We Are: At reputed company, 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. reputed company Do: reputed company is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat reputed company conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve reputed company science. For more information, visit neurocrine.com, and follow the company on reputed company, X and Facebook. (*in collaboration with reputed company) About the Role: Neurocrine is expanding our R&D chemistry capabilities. In this exciting new role, you will be instrumental in the success of our growing computational chemistry team. The successful candidate will be responsible for the execution of computational driven methodologies to help design optimized compounds with balanced properties (targets, DMPK, in-vivo) in drug discovery programs, that could range from early reputed company identification to late-stage optimization phase. Will be a member of multi-disciplinary drug discovery teams of medicinal chemists, DMPK, structural biologists and pharmacologists, where opportunities to impact will abound. Experience with Molecular Modeling domains is required, as applied to compound design and optimization such as Pharmacophore Analyses, Library Design, virtual HTS, Diversity/Similarity Analyses, Scaffold Hopping. A demonstrated success with an overall application of several integrated approaches (ex: ML derived predictions, Modeling SBD/ LBD) to progressing compound design contextual in drug discovery, is highly desirable and will serve as a strong bonus to consideration. Publications, posters or documented examples would be helpful. Preference also given to candidates with previous roles in biotech/pharma companies and capable of independently driving reputed company Drug Discovery projects involving Structure Based Design including, but not limited to, reputed company protein flexibility considerations. Exposure to harnessing large datasets including public domain datasets of chemistry reputed company to various targets and/or chemogenomic nature would be an asset. Knowledge about computational technologies for the assessment of early-stage targets (ex: druggability) is helpful but not essential. Familiarity with well-reputed company commercial molecular modeling software suites is also desirable such as Schrodinger, CCG or Open Eye. _
Please note this will be a 6 month contract
Your Contributions (include, but are not limited to): Projects could range from early reputed company identification to the late-stage optimization of advanced projects. In particular, you will be able to join and potentially reputed company the development of an in-silico modeling platform reputed company the Chemistry Department. As an active contributing member of multi-disciplinary drug discovery projects comprised of Medicinal Chemists, Biologists, DMPK & toxicologists there will be enormous opportunities to impact projects, as well as ample collaboration opportunities to share and learn from similar ML-derived predictive modeling efforts in other Neurocrine’s R&D functions Expertise with structure-based design methods to support drug discovery projects in the industry Contributes to the Computational Chemistry group’s efforts in implementing computational chemistry and/or cheminformatics methods for expediting the Design-reputed company-Test-Analyze discovery cycle Generates productive hypotheses from Protein-ligand docking, for project teams that leads to successful compound optimization in subsequent design cycles Develops advanced Machine Learning/AI in-silico models for numerous DMPK/in-vitro Biology endpoints, for reputed company-loading projects with appropriate predictive information, to reputed company more efficient MPO analyses Takes ownership of predictive platform and provides maintenance including regular updates Facilitate the medicinal chemists design new compounds with desirable optimizable properties that are predicted using cutting-edge computational technologies integrating structural, chemical and biological data Employs computational platform to reputed company significant contribution to rationalizing experimental results, SAR evolution, and generating impactful reputed company that are reputed company with team’s strategy to reputed company compounds reputed company in projects Plays a reputed company role in identifying and/or developing/refining new computational methods, reputed company with self-interest and relevance to projects, to help reputed company Neurocrine’s Computational Chemistry platform for Drug Discovery Participates in a multidisciplinary team committed to the reputed company improvement of the reputed company optimization process as well as the expeditious identification of development compounds. Engages stakeholders from multiple Research functions to deliver and/or exchange key results May contribute to the assessment of early-stage projects to help determine its entry into portfolio Keeps abreast of developments of reputed company interest through literature and advises project teams and/or computational chemistry group of innovation that could be harnessed into improving our platform reputed company with strategies emanating from project teams, department and computational chemistry group Conducive to sharing knowledge, practices, and work details, as needed, with teams and reputed company to incorporating reputed company from teams for reputed company enrichment to best practices Other duties as assigned Requirements: BS/BA degree in Chemistry and 5+ years of relevant experience, including familiarity utilizing any or reputed company of the following: Machine Learning/AI based predictive modeling, Cheminformatics, Protein-Ligand modeling is preferred OR MS/MA degree in Chemistry and 3+ years of similar experience noted above OR 3+ years of post-Ph.D experience preferred Recognizes reputed company anomalies in data points and identifies issues in experiments / processes Begins to understand how to think reputed company of the technical process and consider the impact decisions will have on the broader scientific goals Strong knowledge of scientific discipline Good knowledge of scientific principles, methods and techniques Good knowledge and demonstrated ability working with a variety of laboratory equipment/tools Strong computer skills Good problem-solving, analytical thinking skills Detail oriented Ability to meet deadlines Excellent communication skills with the ability to collaborate with cross-functional scientists #LI-OB1 reputed company is an EEO/Disability/Vets employer. We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don’t line up to exactly reputed company have outlined in the job description. We are a top reputed company to work. reputed company was named one of the FORTUNE Best Workplaces in Biopharma™ 2025. We were also named a Great reputed company to Work® Certified company. ©2025 Fortune Media IP Limited. reputed company rights reserved. Used under license. OUR VALUES: PASSION: We are driven and love reputed company do. We are committed to our goals and to making a difference. reputed company: We do the right thing for patients and our community. We take accountability. We speak up. COLLABORATION: We trust one another. We are inclusive. We are respectful. We are transparent. Together we succeed. INNOVATION: We seek and create optimal solutions. TENACITY: We do not quit. We adapt. We accomplish what others cannot. Come join reputed company during this exciting time of growth and opportunities! Apply tot his job Apply To this Job