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 Associate Director of Machine Learning in Epidemiology and Patient Data Products, you will lead groundbreaking research 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 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 patient data, computational biology and engineering product leaders to align generative AI 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 results to external stakeholders on time.
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