Sr. Business Intelligence Engineer, IT Research Solutions - Onsite SD HQ

About the role

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 ) The Senior Business Intelligence Engineer leads the design and development of scalable business intelligence and analytics solutions that support scientific and operational decision-making across Neurocrine's research and development organization. This role combines strong business intelligence expertise with the ability to design scalable data models, semantic layers, and analytics-ready datasets that ensure consistency, performance, and reuse across the organization. Working closely with Research and Development, Business and System Analysts, Data Platforms and business stakeholders, this individual serves as a senior partner translating complex scientific and business questions into intuitive dashboards, trusted metrics, and decision-ready insights. The role requires both deep business intelligence expertise and a strong understanding of how pharmaceutical research data is generated, structured, and used to advance programs. _ Your Contributions (include, but are not limited to): Lead the design, development, and maintenance of business intelligence dashboards, reports, and analytic data products that support scientific, operational, and portfolio decisions Partner with senior cross-functional stakeholders to translate research, development, and business requirements into scalable BI solutions, meaningful KPIs, and decision-ready insights Define and influence reporting standards, metric definitions, semantic consistency, and data quality practices across the analytics environment Integrate, profile, and validate data from research systems, clinical sources, and enterprise platforms to ensure consistency and trust in reporting Apply deep understanding of pharmaceutical research workflows, including discovery, preclinical studies, translational research, and clinical development, to frame analytics priorities and guide solution design Provide technical guidance, review work products, and share best practices with peers or junior team members where appropriate Drive troubleshooting, performance tuning, user adoption, and continuous improvement of dashboards and reporting solutions Prepare and maintain documentation that supports transparency, reproducibility, governance, and audit readiness

Requirements

• Experience leading or owning analytics, reporting, or decision-support solutions for R&D or pharmaceutical research organizations
• Strong exposure to drug discovery, translational science, assay data, study operations, or development workflows
• Experience with SQL, Python, or other analytical tools used to prepare, analyze, validate, or troubleshoot data for BI solutions
• Familiarity with regulated data environments, documentation practices, and governance expectations that support inspection readiness
• Experience with Revvity platform components (VitroVivo, Signals) a plus
• Experience with solutions that align with data governance, quality, and GxP requirements
• Significant experience with business intelligence, analytics, and reporting platforms in professional environments
• Strong familiarity with life sciences and pharmaceutical research data domains, including discovery, preclinical, translational, and/or clinical data
• Advanced understanding of data modeling, visualization principles, KPI design, semantic consistency, and analytical workflows
• Demonstrated ability to influence stakeholders, prioritize competing needs, and translate ambiguous questions into scalable re

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