Project Lead-BI

Key Responsibilities

• Design, develop, and maintain Spotfire dashboards, visualizations, and reports to support analytical and operational needs of Life Sciences projects.
• Collaborate with business stakeholders, data engineers, and domain experts to gather requirements and translate them into technical designs.
• Work with data from clinical trials, safety, regulatory, manufacturing, or commercial systems (e.g., EDC, CTMS, LIMS, Veeva, Argus, SAP, etc.).
• Implement data wrangling and transformation using IronPython scripting, TERR, R, or Python within Spotfire.
• Optimize dashboard performance and ensure scalability, reusability, and adherence to data governance standards.
• Integrate Spotfire with data sources such as SQL Server, Oracle, Snowflake, AWS S3, or Data Lakes.
• Develop custom expressions, calculated columns, and KPIs for trend, risk, and quality monitoring in regulated environments.
• Support data validation, access control, and compliance with 21 CFR Part 11 and other GxP regulations where applicable.
• Provide user training, documentation, and production support for Spotfire solutions.

Required Skills & Qualifications

• Bachelor s or Master s degree in Computer Science, Information Systems, Life Sciences, or related field.
• Strong proficiency in IronPython scripting, R/Python integration, and SQL queries.
• Experience in data visualization best practices and building analytical dashboards for business and scientific use cases.
• Familiarity with Life Sciences data models and standards (e.g., CDISC, SDTM, ADaM, IDMP, SPOR, MedDRA).
• Understanding of clinical development, regulatory submissions, pharmacovigilance, or manufacturing quality analytics.
• Experience integrating Spotfire with ETL tools, Data Lakes, or BI platforms (e.g., AWS Glue, Informatica, Databricks, Power BI) is a plus.
• Strong analytical and communication skills with the ability to interact effectively with global teams.