About Us

Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.

Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.

Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.

Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com. 

As Head of Patient Data, you will lead our groundbreaking patient data platform that is revolutionizing drug discovery. Our innovative platform leverages advanced computational techniques to accelerate the development of new medicines. You will lead a team of data scientists, data engineers, and informaticists at the intersection of AI capability innovation and implementing machine learning tools to solve real patient problems that have significant impacts on global health. You will own the team’s strategic vision and collaborate with epidemiology machine learning, product engineers, and business innovation leaders to align product initiatives with patient needs.

A successful candidate is passionate about leading high-impact teams, navigates ambiguous problems--right-sizing complex computational tasks, and delivers innovative machine learning/AI-enabled patient data products to internal stakeholders, for direct application in external partnerships, on time.

What You’ll Do…

Elevate Patient perspective in Drug Discovery and Development: Ensure Valo’s real-world data (RWD) platform is optimally positioned for teams to extract actionable insights, directly influence drug discovery and development programs, while supporting platform scalability and expansion.
- Champion the Valo RWD user experience: responsible for integration, adoption, and uptake of Valo’s electronic health record data and RWD platform across Valo computational teams. Develop rapid and robust user onboarding to data assets embedded in engineered pipelines and tools developed for specific projects.
- Improve patient representation AI in RWD workflows (eg, feature engineering, data curation, fit-for-purpose tooling). Build from common data models that enable fluid integration across data assets.
Lead Patient Data Asset Platform: Develop and execute Valo’s platform strategy, ensuring alignment with overall organizational goals, while working closely with software and infrastructure engineers, epidemiology and data science leaders, and drug discovery researchers.
- Own RWD tooling roadmap to unlock RWD capabilities for maximal impact. Collaborate with teams to build scalable real-world evidence products that accelerate insight generation, for existing partnerships, and generate new entry points for RWD in business development.
- Partner with epidemiology and data science leaders to execute continuous evaluation of RWD data assets. Develop automated systems to validate/QC data processing for existing and prospective RWD vendors. Systematically evolve patient feature mapping and standardization across RWD sources.
Lead high-performing team: Responsible for developing team roadmap, mentoring, and career development of a multidisciplinary clinical informatics, data science, and data engineering group. Foster a culture of excellence dedicated to scientific rigor and continuous learning while contributing to Valo’s broader goal of being recognized externally for cultural excellence.

What You Bring…

Technical Product leadership: Demonstrated experience building scalable data pipelines and technical infrastructure to support clinical or RWD tools for commercial use, including machine learning/AI-enabled products.
Hands-On Patient Data Experience: Proven experience with RWD, electronic medical records, or patient registry data, generating insights and actionable recommendations.
Leadership and Management Skills: Track record of successfully leading high-performing teams, promoting collaboration, and achieving strategic goals.
Excellent Communication: Exceptional oral and written communication skills, adept at presenting complex information clearly to diverse audiences.
Strategic Thinker: Ability to translate scientific insights into actionable business strategies.
Passion for Innovation: Strong drive to innovate and advance RWD research and development practices. Experience identifying and executing value-creating opportunities in health tech/pharmaceutical domain

Nice to have…

Experience with U.S. and non-US healthcare datasets, healthcare systems, and administrative data (e.g., billing claims, pharmacy data).
Strong computational background, hands-on experience in applying causal inference approaches in observational data.
Prior experience with leading data-driven research and data-as-a-product in a commercial setting.
Familiarity with real world evidence approaches in drug discovery

Remote Salary Range

$200,000—$260,000 USD

CA Salary Range

$230,000—$285,000 USD

Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.

Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship.