Senior Program Manager, Life Sciences
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Job Description
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Transform healthcare with us.
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Job Summary
Qualified Health's Life Sciences business is growing quickly, with work across several leading pharmaceutical organizations. Each organization has multiple brand teams with different objectives and leaders, and delivery runs from the pharma customer through our clinical, product, data, and engineering teams to health system IT and the care pathway workflows we deploy, often across more than one health system per program.
As Senior Program Manager, Life Sciences, you will be accountable to our customers for what we have committed to deliver. You will be the single source of truth for leadership and customers: defining and managing contractual scope, building and tracking delivery plans, knowing where every program stands, calling out problems before they become crises, and telling people early who needs to step in. The role is hands-on today and grows into leadership: you will build the PMO for Life Sciences and, as the business grows, hire and lead a team.
Key Responsibilities
Define and manage contractual scope for Life Sciences programs, and keep delivery aligned with customer commitments as work evolves.
Build and track delivery plans across customer, clinical, product, data, engineering, AI transformation, and health system IT teams, and course-correct early when work deviates from plan.
Surface risks and blockers proactively, say clearly what is blocking progress, and bring in the right leader at the right time.
When delivery drifts from plan, reset the plan and the conversation with the customer.
Give leadership and customers a single view of progress (green, yellow, red), including risks, issues, and what help is needed, and use AI tools to produce it quickly.
Own external customer communications, including recurring check-ins every 3 to 4 months with pharma stakeholders, with honest, polished updates on what is done and what is not.
Work with the teams that lead health system delivery so each program has one accountable view from commitment to deployment.
Help build the Life Sciences PMO, including its operating rhythm, templates, and reporting, and lead it as the function grows.
Required Qualifications
Demonstrated ability to run complex, multi-stakeholder programs end to end at a senior level, with hands-on ownership of scope, plans, risks, and status.
Experience in an external customer-facing role, including executive-level updates and steering committee style check-ins with customer stakeholders.
Track record of working across clinical, product, data, and engineering teams to deliver on commitments.
Strong skills in scoping work, building delivery plans, and managing issues, risks, and dependencies.
Active, practical use of AI tools in your current work, with examples of how you have applied them.
Proactive, clear communication with executives and customers, including comfort raising uncomfortable truths early.
High sense of urgency and comfort with ambiguity, with an owner's mindset.
Proficiency with project and task management tools (Notion, Jira, or similar). No single tool is required.
An undergraduate degree.
Desirable Qualifications
Experience in life sciences or pharma programs, ideally on the commercial or program side, and familiarity with how pharma teams work.
Healthcare or health system experience.
Experience in a startup environment, or launching a new team or business inside a larger company.
Experience leading or building a team.
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Qualified Health
View Company ProfileQualified Health AI (operating under qualifiedhealthai.com, legally Qualified Health PBC) is the premier, enterprise-grade healthcare-native AI infrastructure platform, conversational compliance pioneer, and clinical workflow orchestration powerhouse engineered to act as the definitive, high-velocity generative AI, unified governance, and data integration layer for large-scale hospital networks and health systems. Co-founded by digital health innovators Dr. Justin Norden (former CEO of Trustworthy AI, acquired by Waymo), Shantanu Phatakwala, and Dr. Kedar Mate, the platform completely eliminates the severe systemic friction of modern clinical operations—where healthcare providers face intense margin compression due to labor shortages and administrative overloads, while battling the critical security risks of shadow AI tool usage and fragmented vendor silos—by deploying a sophisticated, HIPAA-compliant intelligence operating matrix. Moving far beyond traditional, passive electronic health record (EHR) databases or generic, ungoverned AI point solutions, Qualified Health natively unifies multi-tenant data integration adapters, pre-validated automated workflow modules, an advanced agent builder studio, and a comprehensive real-time oversight compliance log into a single high-availability health system environment. Serving major regional medical centers and academic institutions (including the University of Texas Medical Branch), the system securely bridges core clinical, operational, and financial databases to drive rapid adoption and measurable return on investment without increasing IT debt. Backed by $155 million in elite institutional venture capital—culminating in a monumental March 2026 Series B financing round featuring heavy participation from premier investment groups such as New Enterprise Associates (NEA), SignalFire, Town Hall Ventures, and Healthier Capital—the public benefit corporation scales its operations across North America. Under the hood, its technology core utilizes deep role-based access controls, automated risk-alert telemetry, human-in-the-loop evaluations, and complete audit trail record logs built to eliminate data leakage and model hallucinations while accelerating workforce enablement. What sets Qualified Health AI apart is its uncompromising dedication to replacing disjointed, risky AI pilots with absolute structural platform centralization, enforceable regulatory safety guardrails, and rapid frontline execution velocity; by bridging the gap between performance-intensive machine learning capabilities and the daily realities of patient-centered care, the enterprise remains the definitive, category-defining cornerstone of modern algorithmic health tech infrastructure and global medical system transformation.
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