About QuantHealth
At QuantHealth, we are reshaping the pharmaceutical industry by eliminating the $45B annual loss caused by clinical trial failures.
Our cutting-edge, in-silico clinical trial simulation platform uses a massive pharmaco-clinical foundation model trained on over 100 million patient records.
Trusted by global pharmaceutical leaders, we simulate thousands of trial variations to predict patient-level responses, optimize trial designs, and calculate the Probability of Technical Success (PTS) with an 85%+ accuracy rate.
The Role
We are seeking a Senior Product Manager to own the full product lifecycle of our core Clinical Trial Simulation Product: from day-to-day execution with engineering to longer-term roadmap decisions.
This role is at the intersection of statistics, product management, and hands-on rapid development.
You'll be the primary PM driving delivery, managing the backlog, and working directly with pharma stakeholders to turn complex clinical needs into clear, shippable products.
This is a hands-on, high-ownership role for someone who thrives in fast-moving environments and can operate confidently at the intersection of data-heavy products and real user problems.
Responsibilities
- Product Ownership: Own the end-to-end product lifecycle for our core Clinical Trial Simulator backlog, sprint planning, prioritization, and delivery in close partnership with engineering.
- Stakeholder Translation: Partner with pharma users and internal domain experts to turn complex clinical workflows into clear, well-scoped product requirements.
- Cross-Functional Execution: Serve as the connective tissue between data science, engineering, and commercial teams and keep delivery moving without losing sight of user impact.
- User Discovery: Run continuous discovery with pharma stakeholders to surface high-value problems, validate assumptions, and pressure-test solutions against real clinical workflows.
- Data-Informed Decisions: Use product analytics, user feedback, and clinical data context to prioritize what gets built and measure whether it's working.
- AI Tooling: Leverage AI development tools where useful to prototype, explore, and accelerate early-stage product thinking.
Qualifications
- Experience: 5+ years of Product Management, specifically on complex, data-heavy, or B2B SaaS platforms.
- Execution Track Record: Proven ability to own a product end-to-end - backlog to launch - in a fast-paced environment with high autonomy.
- Analytical Mindset: Comfortable with data, metrics, and quantitative concepts. A background in statistics, biostatistics, data science, or engineering is a strong plus. Prior exposure to healthcare, clinical trials, or life sciences is also valued.
- Builder Instinct: Experience working hands-on with data or prototyping tools (Python, SQL, or AI coding environments) is preferred but not required.
- Communication: Able to work across highly technical teams and translate complexity into clear decisions and crisp product specs.
Skills Required
- 5+ years of Product Management experience on complex, data-heavy, or B2B SaaS platforms
- Proven ability to own product end-to-end from backlog to launch in fast-paced environments
- Experience with backlog management, sprint planning, prioritization, and delivery
- Comfortable with data, metrics, and quantitative concepts
- Strong communication skills to translate technical complexity into clear product specs
- Background in statistics, biostatistics, data science, or engineering
- Prior exposure to healthcare, clinical trials, or life sciences
- Hands-on experience with data or prototyping tools (Python, SQL, or AI coding environments)
- Experience leveraging AI development tools for prototyping or early-stage product work
What We Do
QuantHealth is an AI company conducting patient-centric drug simulations to accelerate and de-risk drug development. Over 90% of drugs in clinical development stage fail to reach the market, which accumulates to a $45B/year direct lost to the pharma and biotech industry. Our platform allows our pharma and biotech partners to rapidly run thousands of variations of their clinical trials to optimize the trial design and significantly increase the probability of trial success, all while enabling discovery of new clinical opportunities and optimization strategies. QuantHealth has one the largest integrated datasets that spans the clinical, pharmacological and biological domains together with a proprietary AI platform that can predict patient-response to both approved and novel therapies.
