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Sr. Director, Data Platforms and Research Solutions - Remote eligible

Remote / Online - Candidates ideally in
San Diego, San Diego County, California, 92189, USA
Listing for: Neurocrine Biosciences
Remote/Work from Home position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Security, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 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 complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science.

For more information, visit , and follow the company on Linked In, X and Facebook.
* in collaboration with Abb Vie

About

The Role

The Senior Director of Data Platforms and Research Solutions is accountable for the strategy, delivery, reliability, and adoption of Neurocrine Biosciences’ enterprise data platforms. This role owns the end-to-end data platform ecosystem related cloud infrastructure, data engineering platforms, orchestration, governance, analytics enablement, operational excellence, and ensures it scales securely to meet current and future business needs. You are a senior technology leader with deep roots in data engineering and modern cloud platforms, combined with strong people leadership and executive level communication skills.

You set technical direction, build and lead high performing data platform teams, establish standards, and partner closely with business, IT, security, and compliance stakeholders. This role is foundational to Neurocrine’s research and development future. The Senior Director enables scalable, compliant, and interoperable data platforms that support discovery research, translational science, clinical development, biomarker analytics, and real‑world evidence. The platform must support both exploratory research workflows and validated, production grade analytics in a GxP environment.

This leader is accountable for modernizing legacy data approaches while building forward-looking capabilities including multi‑modal research data integration, advanced analytics enablement, and AI/ML readiness without compromising regulatory rigor.

Your Contributions (include, but are not limited to)
  • Partner closely with Research, Clinical Development, Biometrics, Bioinformatics, and Data Science functions to ensure platforms support real scientific and clinical workflows.
  • Enable scalable, reproducible, and traceable analysis across discovery, preclinical, and clinical domains by aligning platform capabilities to scientific use cases.
  • Ensure data platforms support scientific rigor, reproducibility, and transparency, including support for exploratory analysis, model development, and regulatory submissions.
  • Define and enforce data lifecycle management for research and clinical data, from ingestion through archival, in compliance with GxP and data retention requirements.
  • Own metadata, lineage, and data catalog strategies to enable scientific transparency, auditability, reuse, and cross-study analysis.
  • Ensure platforms meet GxP, data governance, privacy, and regulatory requirements (e.g., GDPR, CCPA) while enabling efficient scientific collaboration.
  • Own and define the enterprise data platform strategy and roadmap, aligned with business priorities, regulatory requirements, and long-term scalability.
  • Lead multiple teams responsible for cloud data platforms, data engineering frameworks, orchestration, data quality, analytics enablement, and…
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