
About QuantHealth
QuantHealth sits at the center of AI-driven drug development. Our simulation engine runs billions of virtual patient journeys to predict clinical outcomes, streamline trial
design, and lift success rates. Twelve of the top twenty global pharma companies already partner with us, applying the platform across oncology, autoimmune, cardiometabolic, and neuroscience programs. Inside the company, you will work alongside some of the best data scientists, clinical modelers, and software engineers. Your work influences real-world trials measured in billions of dollars and, ultimately, patient lives. Our growth is accelerating - triple-digit ARR, double-digit new partners each year, and a product roadmap funded by top-tier life sciences investors. If you thrive on big challenges, tight-knit teams, and immediate impact, QuantHealth is where you will do the best work of your career.
The Role
The Director of Strategic Partnerships owns new-logo revenue with large biotech and pharma sponsors. You will identify high-value use cases, craft executive-level business cases, and close multi-million-dollar software and license agreements. This is a senior individual contributor role with clear headroom to build a team as growth accelerates.
The annual salary (OTE) for this role is $275,000 - $375,000, depending on experience, skills, and other relevant considerations.
Responsibilities
Qualifications
Who You Are
Additional Details

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.