Sr. Business Intelligence Engineer, IT Research Solutions | Onsite SD HQ
Neurocrine Biosciences
5 days ago
On-site
San Diego, CA
IT
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.
Your Contributions (include, But Are Not Limited To)
- Lead the design, development, and maintenance of BI dashboards, reports, and analytic data products.
- Partner with senior cross-functional stakeholders to translate requirements into scalable BI solutions, KPIs, and decision-ready insights.
- Define reporting standards, metric definitions, semantic consistency, and data quality practices.
- Integrate, profile, and validate data from research systems, clinical sources, and enterprise platforms.
- Apply knowledge of pharmaceutical research workflows (discovery, preclinical, translational, clinical) to frame analytics priorities.
- Provide technical guidance, review work products, and share best practices.
- Drive troubleshooting, performance tuning, user adoption, and continuous improvement.
- Prepare and maintain documentation for transparency, reproducibility, governance, and audit readiness.
Requirements
- Bachelor’s degree in a relevant field plus 4+ years in BI/analytics/reporting/data analysis roles supporting research, development, healthcare, or life sciences.
- Experience owning analytics/reporting/decision-support solutions for R&D/pharmaceutical research.
- Strong exposure to drug discovery, translational science, assay data, study operations, or development workflows.
- Experience with SQL, Python, or similar analytical tools.
- Familiarity with regulated data environments, documentation practices, and governance/inspection readiness.
- Plus: Revvity (VitroVivo, Signals).
- Experience aligned with data governance, quality, and GxP requirements.
- Proficiency with BI/analytics/reporting platforms; life sciences/pharma data domains.
- Advanced data modeling, visualization, KPI design, semantic consistency, and analytics workflows.
- Knowledge of data integration/transformation/governance/data quality.
- Cloud platform experience (e.g., Databricks, Snowflake, Redshift).
- Hands-on TIBCO Spotfire.
- Strong problem-solving, analytical, communication, and collaboration skills; ability to work in structured, compliant environments.
- Attention to detail and commitment to data quality and integrity.
- Willingness to learn and adapt.
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.
Your Contributions (include, But Are Not Limited To)
- Lead the design, development, and maintenance of BI dashboards, reports, and analytic data products.
- Partner with senior cross-functional stakeholders to translate requirements into scalable BI solutions, KPIs, and decision-ready insights.
- Define reporting standards, metric definitions, semantic consistency, and data quality practices.
- Integrate, profile, and validate data from research systems, clinical sources, and enterprise platforms.
- Apply knowledge of pharmaceutical research workflows (discovery, preclinical, translational, clinical) to frame analytics priorities.
- Provide technical guidance, review work products, and share best practices.
- Drive troubleshooting, performance tuning, user adoption, and continuous improvement.
- Prepare and maintain documentation for transparency, reproducibility, governance, and audit readiness.
Requirements
- Bachelor’s degree in a relevant field plus 4+ years in BI/analytics/reporting/data analysis roles supporting research, development, healthcare, or life sciences.
- Experience owning analytics/reporting/decision-support solutions for R&D/pharmaceutical research.
- Strong exposure to drug discovery, translational science, assay data, study operations, or development workflows.
- Experience with SQL, Python, or similar analytical tools.
- Familiarity with regulated data environments, documentation practices, and governance/inspection readiness.
- Plus: Revvity (VitroVivo, Signals).
- Experience aligned with data governance, quality, and GxP requirements.
- Proficiency with BI/analytics/reporting platforms; life sciences/pharma data domains.
- Advanced data modeling, visualization, KPI design, semantic consistency, and analytics workflows.
- Knowledge of data integration/transformation/governance/data quality.
- Cloud platform experience (e.g., Databricks, Snowflake, Redshift).
- Hands-on TIBCO Spotfire.
- Strong problem-solving, analytical, communication, and collaboration skills; ability to work in structured, compliant environments.
- Attention to detail and commitment to data quality and integrity.
- Willingness to learn and adapt.