Sr. Data Scientist, Clinical Data Solutions | Onsite San Diego HQ

Who We Are:

Neurocrine Biosciences is a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering, developing and commercializing life-changing treatments for patients with under-addressed neurological, psychiatric, endocrine and immunological disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, hyperphagia in patients with Prader-Willi syndrome, 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 more than three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X, Facebook and YouTube. (*in collaboration with AbbVie)

About the Role:

This role is responsible for developing, deploying, and maintaining scalable data pipelines, analytical data products, and automation solutions that enable clinical teams to design, run, monitor, and analyze clinical trials while optimizing for safety, efficacy, quality, and efficiency. This role works cross-functionally with medical and technical professionals in Clinical Development, Clinical Operations, Biometrics, and IT to transform complex clinical and operational data into useful outputs for exploration, decision-making, and early risk identification.

Our ideal candidate is a self-starter with a passion for building practical analytical tools, strong technical depth, applied statistical judgment, and the ability to deliver production-ready solutions across controlled clinical technology environments.

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Your Contributions (include, but are not limited to):

• Collaborate with Clinical Development, Clinical Operations, Biometrics, and medical teams to support the design, execution, monitoring, and reporting of clinical trials

• Develop and maintain data pipelines, analytical products, and dashboards that make clinical and operational data more accessible, consistent, reliable, and actionable

• Identify and build operational metrics, statistical signals, risk indicators, and decision-support tools that help stakeholders detect emerging site, study, vendor, country, or workflow risks early enough to intervene

• Translate complex clinical and operational questions into practical technical solutions, including data ingression, transformation, modeling, visualization, monitoring, and consumption through readily accessible tools and technologies

• Serve as a technical resource for statistical and numerical methods resource for the team, helping determine whether observed differences, trends, outliers, or anomalies are meaningful, actionable, or likely noise

• Apply programming, statistics, visualization, and analytical techniques to support clinical trial oversight, data quality review, operational performance monitoring, patient stratification, predictive modeling, and exploratory analysis

• Develop and enhance AI-enabled, biomarke