VP of Clinical Solutions
Unlearn
Summary
Leading Pharma and Biotech companies trust Unlearn to deliver scientifically rigorous work using digital twins on studies where the stakes are high and the timelines are real. As the VP of Clinical Solutions, you will lead an organization of scientists and technical leaders across a wide array of active customer projects with different timelines, needs, and opportunities. This role sits at the intersection of scientific leadership and operational excellence. You will report to the COO and be responsible for meeting business goals in Delivery that ensures that Unlearn increases its leadership and reputation as a best-in-class innovator and scientific partner.
Job description
Responsibilities
- Lead Unlearn's scientific delivery organization and own the quality, timeliness, and scientific rigor of customer-facing delivery work across a portfolio of concurrent projects.
- Partner closely with Business Development, Product, Engineering, R&D, and Quality Management to shape scopes of work, resolve cross-functional blockers, feed delivery learnings back into the product, and ensure what we sell is what we can deliver excellently.
- Serve as a senior scientific voice with customers: stepping into escalations, building trust with sponsor teams, and representing the credibility of Unlearn's science in clinical development settings.
- Develop technical team leaders through direct people leadership, mentorship, and career development.
- Establish and uphold technical governance: standards, review practices, and quality frameworks that ensure our statistical analyses, data products, and ML applications meet the bar our customers and regulators expect.
- Own delivery operations at scale: project staffing and resourcing, capacity planning, prioritization across competing customer demands, and delivery processes that keep a growing portfolio on track without burning out the team.
- Report regularly to company leadership on delivery health, capacity, and portfolio risk; manage the growth of delivery commitments so that we scale ambitiously without over-committing resources, and escalate risks early and transparently.
- Build the systems, metrics, and delivery models that maintain quality while we continue to grow.
Requirements
- 10+ years leading scientific or analytical delivery work in clinical development, with significant experience operating at the Senior Director or VP level with responsibility for multi-disciplinary technical teams.
- A track record of leading data analytics, biostatistics, data science, or related delivery organizations serving biopharma customers—for example at real-world data (RWD) companies, CROs, or analytics-driven clinical development partners.
- Direct ML delivery experience is a plus, but deep respect for and fluency with quantitative methods is essential.
- Demonstrated scientific leadership: you have grown individual contributors into technical leaders, and you can provide credible technical guidance and governance across biostatistics, data science, and ML without needing to be the deepest expert in each.
- Strong operational skills: you have kept complex, concurrent customer delivery portfolios on track, resourced projects effectively under real constraints, and scaled delivery teams and processes as demand grew.
- Domain knowledge of clinical development: study designs, clinical data, sponsor expectations, and the regulatory and evidentiary standards that govern our customers' decisions.
- Experience reporting to executive leadership on delivery capacity, growth, and risk: you manage commitments realistically, say no when the math doesn't work, and surface problems early rather than letting them compound.
- Comfort operating cross-functionally with Business Development, Product, Engineering, R&D, Quality Management, and customer stakeholders, and translating fluidly between technical and non-technical audiences.
- Experience in growth-stage or early-stage companies to build a stronger delivery model while running it.
Requirements
- 10+ years leading scientific or analytical delivery work in clinical development
- Significant experience operating at the Senior Director or VP level with responsibility for multi-disciplinary technical teams
- A track record of leading data analytics, biostatistics, data science, or related delivery organizations serving biopharma customers
- Deep respect for and fluency with quantitative methods
- Demonstrated scientific leadership: grown individual contributors into technical leaders
- Credible technical guidance and governance across biostatistics, data science, and ML
- Strong operational skills: kept complex, concurrent customer delivery portfolios on track
- Resourced projects effectively under real constraints
- Scaled delivery teams and processes as demand grew
- Domain knowledge of clinical development: study designs, clinical data, sponsor expectations, and regulatory and evidentiary standards
- Experience reporting to executive leadership on delivery capacity, growth, and risk
- Comfort operating cross-functionally with Business Development, Product, Engineering, R&D, Quality Management, and customer stakeholders
- Translating fluidly between technical and non-technical audiences
- Experience in growth-stage or early-stage companies
Benefits
- Equity participation
- Medical, Dental & Vision
- 401(k) Matching
- Flexible PTO
- Company Holidays
- Annual Company Break
- Commuter Benefits
- Paid Parental Leave
Company overview
Unlearn is a pioneering AI biotechnology company founded in 2017 and headquartered in San Francisco, California. The company specializes in developing artificial intelligence-powered solutions for clinical trial design and analysis, with a particular focus on creating digital twin technology for pharmaceutical and biotechnology applications. Unlearn's core platform enables drug developers to generate patient-level digital twins that forecast individual disease progression under standard of care, serving as sophisticated external comparators in clinical trials. The company has developed validated Digital Twin Generators (DTGs) for multiple therapeutic areas including neuroscience (Alzheimer's, ALS, Parkinson's), immunology (Crohn's, rheumatoid arthritis), cardiometabolic disorders, and psychiatric conditions. Unlearn's technology aims to transform clinical development by making trials smarter, more efficient, and less burdensome for participants while maintaining regulatory-grade compliance standards including GxP, 21 CFR Part 11, and SOC 2 Type 2. The company has raised $135 million in funding across six rounds and serves as the AI partner of choice for top pharmaceutical and biotechnology companies seeking to accelerate drug development through advanced computational methods.