Product Manager, Evidence Generation & Life Sciences Applications

Pedestal Health•Research Triangle Park, NC

18h

About The Position

Pedestal Health (formerly Target RWE) combines deep health system partnerships, longitudinal data curation at scale, and modern study design to build continuous, high-quality evidence for life sciences organizations. The company partners with pharmaceutical and biotech companies, providers and payers to generate rigorous, multimodal evidence that supports clinical, regulatory and strategic decision-making across the full lifecycle of care. Pedestal Health is committed to advancing medical decision making to improve outcomes for patients. Pedestal Health is a Highlander Health company. Learn more at pedestalhealth.com Overview This is a critical role to define, deliver, and execute on the delivery of applications and products that drive our AI-assisted workflows and evidence generation across Pedestal Health. Our products support clinical data abstraction, data quality review, clinical research, and generating insights from our data assets including PROs, EHRs, and more. Understanding all of these workflows at depth is critical to building the right products to support the business. This individual will work closely with the Head of Data Enablement to execute on defined product priorities while ensuring that applications align with evolving market needs across real-world evidence and clinical research. The role is hands-on and execution-oriented, with responsibility for requirements definition, workflow documentation, sprint leadership, and backlog management across both core applications and custom data initiatives. This position sits within the Product organization but key stakeholders include Engineering, Quantitative Sciences, Clinical Operations, and Commercial. Ensuring disciplined execution and clear alignment between product capabilities, delivery commitments, and market expectations will be a critical component to success.

Requirements

4+ years of product management or related experience in healthcare technology, health IT, data platforms, or clinical research technology.
Experience using AI to build products and create AI-assisted workflows for the generation of clinical evidence to support drug development, clinical abstraction, or insight generation.
Experience working with healthcare data (EHR, registry, claims, or research data).
Experience writing structured product requirements, user stories, and acceptance criteria.
Experience operating in an agile development environment and leading sprint ceremonies.
Strong ability to translate stakeholder and market needs into actionable development tasks.
Demonstrated ability to manage multiple parallel workstreams.
Strong cross-functional communication and organizational skills.

Responsibilities

Define and document workflows supporting abstraction tools, AI-assisted processes, data quality validation, prospective data capture, and clinical trial–adjacent capabilities.
Optimize patient chart abstraction and evidence through AI-assisted workflows.
Drive adoption of applications across the target user base; own the product vision and evangelize it across end users and key stakeholders.
Lead conversions and interviews with end users to understand how they work with the tools and what they need for the applications to better support their workflow.
Conduct working sessions to observe how end users complete their business workflows with our applications. Identify and prioritize gaps in the current applications in context with the entire business workflow.
Drive the development of a design guide for our applications to enable engineering to deliver against our design principles.
Serve as Product Owner for current and future applications within our scope, maintaining backlog prioritization and leading sprint coordination.
Ensure the backlog is prioritized and ready for engineering to deliver and execute.
Translate product priorities and market needs into clear, actionable application requirements and sprint-ready user stories.
Ensure SDLC/PDLC standards are followed consistently across all products you lead.
Own product quality. Working with engineering and QA, develop and review test plans and test execution.
Validate the prioritized backlog with key stakeholders and end users before work enters development.
Collaborate with Commercial and Scientific teams to understand customer requirements and evolving expectations across real-world data and clinical research.
Support internal and external discussions where application workflows and capabilities must be clearly articulated.
Become an expert on how our end users work with our applications. That means sitting down within data scientists and clinicians and understanding what they do. Once that is understood, define and create products that accelerate their work.
Through active interviewing and collaboration with end users, become a subject matter expert on the full workflows our applications support, including upstream and downstream steps that occur outside the product as part of the broader process.
Ensure applications and data deliveries support regulatory-grade evidence generation and trial-readiness where appropriate.