About the Role:
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.

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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:

• Bachelor’s degree in Business Analytics, Information Systems, Computer Science, Engineering, Life Sciences, Biostatistics, or a related technical, scientific, or quantitative field and 4+ years of experience in business intelligence, analytics, reporting, data analysis, or related roles supporting research, development, healthcare, or life sciences organizations

• 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 reporting solutions

• Knowledge of data integration, transformation, governance, and data quality concepts relevant to enterprise reporting in regulated environments

• Experience working with cloud-based data platforms (e.g., Databricks, Snowflake, Redshift) and modern analytics architectures, supporting scalable BI solutions

• Hands-on experience with TIBCO Spotfire (academic, internship, or professional)

• Strong problem-solving and analytical skills

• Effective communication and collaboration across scientific and technical teams

• Ability to work within structured, compliant environments while supporting exploratory analysis

• Attention to detail and commitment to data quality and integrity

• Willingness to learn and adapt in a fast-evolving data and analytics landscape

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The annual base salary we reasonably expect to pay is $103,300.00-$141,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 20% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.