About the job
About Abridge
Founded in 2018, Abridge is on a mission to enhance understanding in healthcare through advanced AI technologies. Our platform is specifically designed for medical conversations, streamlining clinical documentation and allowing healthcare professionals to prioritize patient care.
Our enterprise-grade technology converts patient-clinician interactions into structured clinical notes in real-time, seamlessly integrating with electronic medical records (EMR). With our unique Linked Evidence and auditable AI, we are the only organization that correlates AI-generated summaries with verified ground truth, enabling providers to quickly trust and validate outputs. As pioneers in generative AI within the healthcare sector, we are establishing industry benchmarks for responsible AI deployment across health systems.
Our diverse team consists of practicing MDs, AI scientists, PhDs, creative thinkers, technologists, and engineers, all united in the goal of empowering individuals and making healthcare more comprehensible. We operate from multiple locations, including the Mission District in San Francisco, SoHo in New York, and East Liberty in Pittsburgh.
The Role
As the Head of Data Science at Abridge, you will spearhead the development of a premier data team, crafting and executing a robust data strategy aimed at democratizing data in the AI era and generating actionable insights. We seek a dynamic leader who is proactive, possesses a keen sense of quality, and is eager to make a significant impact while expanding our U.S.-based team.
This pivotal role entails guiding the Data Science team, which will act as a central resource for insights and clarity, expediting the decision-making process. Your primary collaborators will include our Product, Engineering, and Science teams, as well as our commercial and finance departments, all working together to inform our strategic decisions.
What You’ll Do
In your capacity as the leader of our data science function, your responsibilities will include:
Building and leading a high-caliber team of data scientists, offering mentorship and maintaining high standards while expanding the team to over 12 members within the next year.
Cultivating a collaborative and high-impact team culture that emphasizes agency, clarity of thought, and pride in authorship.
Driving product strategy with data-driven insights across our evolving product portfolio, including user behavior analysis, in-depth product performance metrics, and causal inference experimentation.
Collaborating with our product, strategy, and research teams to develop sophisticated data models that inform product development and strategy.

