Key Strategic Objectives
- Accelerate LPI by transforming site identification, feasibility, recruitment execution, and startup planning with data-driven decision support.
- Reduce operational burden via AI-enabled feasibility modernization (site footprint, protocol feasibility, recruitment plans).
- De-risk recruitment planning using predictive modeling to strengthen critical-path timelines and mitigate uncertainty.
- Enhance alignment across R&D planning by improving consistency/transparency of site intelligence, scenario modeling, and forecasting inputs.
Main Responsibilities
- Own end-to-end product strategy and execution for country/site optimization, patient matching, and enrollment forecasting.
- Translate clinical, operational, and data science needs into scalable product capabilities with measurable impact on startup/enrollment.
- Prioritize and deliver roadmaps with engineering/analytics/business; manage Jira backlog (user stories, acceptance criteria, prioritization) and sprint planning.
- Facilitate Agile/Scrum ceremonies; act as liaison between technical team and business stakeholders.
- Gather requirements (internal/external data), define technical requirements for site selection/scenario planning algorithms, vendor tracking, and perform UAT.
- Monitor KPIs and communicate value drivers; analyze user feedback/data to support UX.
Demand Intake & Management
- Analyze business needs; coordinate stakeholders; create prototypes/codesign solutions.
- Elicit requirements, influence decisions, assess solution risks, and manage competing demands.
- Ensure architectural consistency/usability standards and define/execute test cases.
About You / Qualifications (Required & Preferred)
- 5+ years in product management and business analysis (preferably pharma/biotech/clinical research).
- Bachelorโs in Business/Math/CS/Data Science or related (Masterโs a plus).
- Agile experience (Scrum/Kanban) and tools (e.g., Jira, Confluence).
- Strong site feasibility and trial execution knowledge; deep RWD ecosystem expertise (e.g., CTMS, Investigator Registry, claims/EHR aggregators such as TriNetX/IQVIA ELAAD, H1/IHME/Citeline; World Bank/OECD/WHO).
- Strong business analysis, stakeholder management, and ability to translate scientific needs into technical specifications.
- Fluent English; strong communication across technical/non-technical stakeholders.
Benefits (if applicable)
- Health and wellbeing benefits, prevention/wellness programs, and at least 14 weeksโ gender-neutral parental leave.