Qualified Health
VP, AI Transformation for Life Sciences
today
USAHeadproduct managementai governancegenerative aihealthcare
Lead life sciences engagements end-to-end, managing pharma accounts and driving AI product delivery and sponsor relationships.
Responsibilities
- The VP, AI Transformation for Life Sciences leads Qualified Health's life sciences engagements end-to-end. You'll be the day-to-day owner of our active pharma accounts and the primary point of contact for every sponsor we work with.
- This is a hands-on role that spans commercial, product, and delivery. You'll help structure and price each deal, define the product we deliver to our life sciences partners, drive implementation across our health system partners, and own the sponsor relationship after the contract is signed. You'll work closely with our product, data, clinical, and engineering teams and operate at one of the most interesting intersections in healthcare AI, where pharmaceutical sponsors, health systems, and generative AI come together.
- If you want real breadth, including commercial, product, and delivery in one seat, and the chance to shape how healthcare AI gets bought, built, and deployed across provider and life sciences environments, this is for you.
Requirements
- Education: Bachelor’s degree in Engineering, STEM, Business Administration, Information Technology, Life Sciences, or a related field. A Master’s degree (MBA, MPH, MS, PharmD, MD, or PhD) is preferred.
- 10+ years of experience across some combination of life sciences consulting, pharma commercial or medical affairs, healthcare data products, or health-tech client delivery at a senior level.
- Demonstrated track record leading complex, multi-stakeholder engagements end-to-end, including commercial structuring, product definition, or large-scale implementation.
- Direct experience selling to, delivering for, or working inside a pharmaceutical sponsor.
- This role requires some travel to pharma sponsor sites and health system client sites, as well as to our monthly team onsites.
Conditions
- Competitive startup salary and equity packages.
- Health, dental, and vision insurance.
- Flexible working hours and hybrid work options.
- An opportunity to be at the forefront of AI in healthcare, making substantial impact on patient care and outcomes.
- A vibrant and inclusive work environment that fosters creativity and innovation.
- The pay range for this role is between $175,000 and $250,000. Compensation will be determined based on level within this job category, as well as your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Other
- 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 and pharmaceutical sponsors 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.
- Help structure our life sciences deals end-to-end, from term sheet to signed scope of work, partnering with leadership, legal, and external FMV firms to land arrangements that are compliant, defensible, and scalable.
- Contribute to pricing strategy across deal types (platform fee, per-build, per-screen, per-cohort, hybrid) and refine it as we learn what each pharma buyer values.
- Surface and navigate the FMV, compliance, and tri-party contracting dynamics that are unique to pharma-funded work inside a provider environment.
- Help define the data product we deliver to our life sciences partners, including the deliverables, schema, reporting cadence, and what is anonymized vs. aggregated, so it creates clear sponsor value without compromising the health system relationship.
- Translate sponsor needs into business and product requirements for the product team, and partner on prioritization and project management against life science commitments.
- Identify new use cases and incremental value opportunities across the portfolio.
- Own the pharma sponsor relationship for each life sciences engagement and oversee implementation across health system partners, from data integration through go-live and ongoing optimization.
- Partner with the Data team on life sciences deliverables, including data integration, cohort definition, deliverable production, validation, and the quality bar before anything ships to a sponsor.
- Perform workflow analysis, identify critical areas for value creation, assess AI fitness, and define the product-related change management needed to support adoption, workflow integration, and sustained impact.
- Coordinate closely with health-system-facing teams to ensure workflow integration is valuable, clinical intent is preserved, and the health system experiences clear value from the work.
- Own day-to-day life sciences sponsor relationships post-signature: run recurring sponsor meetings, execute against contract scope, coordinate internal and health-system-facing workstreams, and deliver the value we promised.
- Serve as the primary point of contact for sponsor counterparts across executive, scientific, and operational stakeholders (Medical Affairs, RWE, HEOR, Data Strategy, Commercial).
- Identify expansion opportunities within each account, across new therapeutic areas, new use cases, new business units.
- Develop and manage against a Partnership Plan for each engagement: business goals, KPIs, project milestones, and the joint value story.
- Prepare and present regular status reports to clients, sponsors, and internal stakeholders.
- Direct exposure to the life sciences or pharma operating model (Medical Affairs, RWE, HEOR, Data Strategy, or Commercial) and a working understanding of how pharma sponsors buy data and evidence.
- Experience navigating health system stakeholders (CMO, CMIO, clinical operations, informatics) and a feel for what makes a deployment land vs. stall.
- Comfort with the legal, regulatory, and FMV dynamics of life sciences-funded work in a provider environment, including anti-kickback considerations and tri-party contracting.
- Experience contributing to a product or data product, owning deliverables, quality, and the seams between engineering and the customer.
- Experience with data integration processes and various client data environments (EMR, claims, lab, registry data).
- Hands-on use of modern AI tools (LLMs, agentic workflows) in your own day-to-day.
- Communication: Excellent verbal and written communication, with the ability to move between a pharma executive and a hospital CMIO in the same afternoon.
- Interpersonal Skills: Strong interpersonal skills, with the ability to build trust quickly with clinical, commercial, and executive stakeholders on every side of a tri-party engagement.
- Problem-Solving: Proactive, structured problem-solving, particularly around regulatory, compliance, and implementation risk.
- Organizational Skills: Exceptional organization and time management; able to run multiple high-stakes engagements in parallel without dropping balls.
- Adaptability: Flexibility to operate in a fast-paced, dynamic startup environment where the playbook is still being written.
- Customer Focus: A strong customer-centric mindset, committed to delivering value to the sponsor and the health system simultaneously, never one at the expense of the other.
- Team Player: Collaborative across product, clinical, data, engineering, and commercial.
- Self Starter: Ability to work independently with minimal supervision and a strong sense of ownership over outcomes.