Sr. Clinical Data Engineer - Onsite San Diego HQ

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 neurocrine.com, and follow the company on LinkedIn, X and Facebook. (*in collaboration with AbbVie)

About the Role:

Leads the design and delivery of scalable, production-grade data and analytics systems. Owns complex initiatives across the data lifecycle and ensures solutions are architected with strong engineering discipline, automation, and long-term maintainability.

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

• Architect scalable data pipelines, semantic models, and integrated reporting frameworks.

• Design analytics solutions that connect storage, transformation, and visualization layers.

• Lead adoption of Git-based workflows, code review standards, and branching strategies.

• Implement and improve CI/CD pipelines for automated testing and deployment of data assets.

• Leverage infrastructure-as-code practices to manage environments consistently.

• Establish best practices for performance optimization, governance, and monitoring.

• Partner with business leaders to define standardized KPIs and metrics.

• Mentor engineers in engineering rigor, deployment discipline, and solution design.

Requirements:

• Bachelor's degree in computer science, engineering or related technical field and 4+ experience with system/data integration, development or implementation of enterprise and/or cloud software OR

• Master's degree and 2+ years of similar experience noted above

• Operates with full accountability for system performance, reliability, and business impact.

• Drives clarity in ambiguous situations by defining scope, risks, and measurable outcomes.

• Balances speed of delivery with long-term scalability and maintainability.

• Influences cross-functional stakeholders through data-driven reasoning.

• Upholds and reinforces engineering and governance standards across the team.

• Deep expertise in data modeling and scalable architecture patterns.