Transforming how we understand and support patients throughout their healthcare journey by advancing patient safety insights through automation of structured analysis of data from clinical trials, internal and external safety databases, literature and real-world data.
Requirements
- Experience utilizing automation and AI agent tools such as Microsoft Power Automate and Microsoft Copilot Studio
- Experience with visual analytics tools including Power BI
- Functional expertise in programming, especially Python, SQL, git and AI-powered command-line interfaces such as Claude Code or Codex CLI
- Experience using a testing-harness to drive LLM prompt development
- Strong understanding of AI/ML concepts, general methodologies, and the AI development lifecycle, sufficient to enable effective leadership of, and collaboration with, technical AI teams, data scientists, and technology vendors
- Proven record of implementing analytical solutions to address research/business problems
- Experience in data visualization techniques addressing complex data sets, especially on clinical data using ADaM and SDTM data formats
Responsibilities
- Develop and implement analytic solutions to address patient safety problems using statistics, machine learning, and visualization skills to deliver key insights from data or build self-service tools.
- In partnership with Patient Safety teams, translate unstructured and complex safety questions into the appropriate data science problems, predictive models, statistical tests, and analytical solutions
- Apply data wrangling by extracting, transforming, cleaning, and integrating relevant data for model development
- Apply best practices in programming (documentation, validation, version control, etc).
- Implement right methods for data analysis and interpret the results in close partnership with PS stakeholders
- Leverage knowledge of public and proprietary content sources to design complex search strategies that support regulatory, pharmacovigilance and drug safety experts.
- Act proactively and reactively to respond rapidly to safety related queries from internal colleagues and external partners including Regulators.
Other
- BSc/MSc/Ph.D. degree in medical, life sciences, computer science, applied statistics, or related quantitative field
- Ability to learn fast and implement analytics solutions by selecting the right set of tools
- Experience of working in a matrix environment with multiple stakeholders
- Outstanding communication, presentation, and interpersonal skills, with a proven ability to convey complex medical and technical information clearly to diverse audiences, including senior leadership
- Experience in pharmacovigilance, clinical safety, or a closely related medical field within the pharmaceutical industry or a regulatory agency
