Data Scientist, Computational Biology

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. Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel.

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. To learn more, visit

As a Staff Data Scientist in Computational Biology, you will be part of the target prioritization team responsible for delivering strong target candidates and accelerating drug preclinical programs. You will lead the strategy for data integration, target prioritization and execution in the immune-cardio-metabolic therapeutic area, applying innovative solutions to multi-dimensional data to define the best targets, and move them forward. You will closely collaborate with discovery scientists, data scientists, epidemiologists, and engineers to maximize the generation of actionable insights and target hypotheses from our internal datasets, while applying creative computational approaches to address critical scientific questions while contributing to Valo’s platform.

A successful candidate will have the ability to work and communicate with a diverse set of scientists, and domain experts in synergistic ways, closing the gap between experimental and data scientists, and across different teams. You will be driven by scientific curiosity and have a deep intuition and understanding of biological systems. You will be comfortable with the uncertainty inherent to scientific research and be willing to learn while paving the path to new approaches.