Director, Clinical Data Analytics

Jazz Pharmaceuticals
•$203,200 - $304,800•Remote

About The Position

The Director, Head of Clinical Data Analytics is a strategic and functional leadership role within Jazz Pharmaceuticals’ Integrated Data Analytics and Statistical Programming (IDASP) department. Reporting to the Senior Director, Head of Integrated Data Analytics & Statistical Programming, this position leads and develops enterprise-wide clinical data analytics and visualization capabilities. The role transforms multi-source clinical trial data into interactive visual intelligence and self-service analytics tools for Clinical Development teams. It oversees tools supporting medical monitoring, safety surveillance, patient profiling, study surveillance, and clinical operational oversight across Neuroscience and Oncology programs. The Director manages a team of analytics and visualization professionals and works closely with Clinical Operations, Medical Affairs, Biostatistics, and Clinical Data Management to accelerate insights and support data-informed decisions. The position establishes the function’s vision and roadmap, leads the architecture and delivery of clinical analytics tools, and sets technical and quality standards. It also supports study data-cleaning and review milestones, evaluates visualization platforms, and oversees vendor and CRO analytics deliverables.

Requirements

  • Master’s degree or Ph.D. in Data Science, Health Informatics, Biostatistics, Statistics, Computer Science, or a related quantitative life sciences discipline.
  • At least 10 years of progressive experience in the biotechnology, pharmaceutical, or CRO industry.
  • At least 5 years in a dedicated people-management and functional-leadership role within clinical analytics or statistical programming.
  • Proven expertise designing and delivering interactive clinical data dashboards and analytics solutions, such as TIBCO Spotfire, R/Shiny, Tableau, or Power BI, for medical monitoring, safety reviews, or study execution.
  • Strong proficiency in programming languages and tools used for clinical data wrangling and visualization, such as R, SAS, Python, or SQL.
  • Thorough understanding of clinical trial workflows and phases, clinical data streams including EDC, eCOA/ePRO, laboratory data, and biomarkers, and CDISC SDTM and ADaM data structures.
  • Demonstrated success recruiting, developing, and leading technical teams within a biopharmaceutical or clinical research organization.
  • Exceptional communication, stakeholder-management, and storytelling abilities, with a track record of connecting technical programming concepts to clinical and medical user needs.
  • Thorough knowledge of Good Clinical Practice (GCP), 21 CFR Part 11 requirements, and quality-control procedures for analytics and reporting outputs.
  • Direct experience implementing centralized clinical trial monitoring dashboards, patient profile viewers, or safety surveillance tools for global clinical trials.

Nice To Haves

  • Experience with clinical data ingestion platforms and data repositories such as elluminate, Medidata Detect, or custom cloud data layers.
  • Experience with validation in GxP environments.

Responsibilities

  • Establish, drive, and execute the functional vision and roadmap for clinical data analytics and visualization across global development programs.
  • Lead, mentor, and develop a team of clinical data analysts and visual analytics programmers.
  • Champion self-service analytics, modern visual frameworks, and interactive exploratory tools across Clinical Development.
  • Lead the architecture, deployment, and enhancement of patient profile viewers, safety surveillance interfaces, and cross-study medical monitoring suites.
  • Direct development of dynamic study monitoring views covering clinical parameters, adverse events of special interest, laboratory anomalies, query resolution, and subject disposition.
  • Partner with Study Teams, Clinical Scientists, and Clinical Operations Leads to translate clinical questions into reliable, user-friendly visual solutions.
  • Support study-level data-cleaning campaigns and review milestones to expedite database locks and maintain inspection readiness.
  • Oversee technical strategy, design standards, and lifecycle management for enterprise visual analytics environments.
  • Collaborate with statistical programming and clinical data management teams to ingest, transform, and map clinical data sources into analytical views.
  • Establish standardized visual libraries, reusable templates, and automated data refresh mechanisms for Phase I–IV studies.
  • Define standard operating procedures, documentation standards, and user validation frameworks for visual analytics deliverables.
  • Evaluate visualization platforms and analytical tools, and oversee external vendors and CRO partners delivering dashboards and analytics assets.
  • Represent IDASP in cross-functional forums, study team reviews, and strategic technology steering committees.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) retirement savings plan
  • Flexible paid vacation
  • Potential eligibility for a discretionary annual cash bonus or incentive compensation
  • Potential eligibility for discretionary equity grants
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service