Function Health’s mission is to empower people to live longer, healthier lives through proactive, data-driven healthcare. We aggregate and analyze comprehensive health data — including blood tests, imaging, and longitudinal biomarkers — to provide members and clinicians with actionable, clinically meaningful insights.

We believe individuals should understand their own health deeply, in context, and over time. Our platform brings together complex medical data and transforms it into clear, trustworthy insights that support better health decisions.

Function Health is building something that has not existed before: a multimodal, longitudinal picture of health for hundreds of thousands (soon to be millions) of people. The Function proactive health dataset includes whole-body MRI, 100+ blood biomarkers, radiology reports, questionnaires and, increasingly, wearables data, all linked to the same individual and refreshed over time. The Medical Intelligence Lab (MIL) at Function exists to turn that data into an early-warning system for every member. In a nutshell, we aim to design a new model of proactive, predictive and preventative health.

The World Model team’s job is at the core of that ambition. We are building models that can do two things: represent a member’s health today from whatever data exists historically, and predict how that state evolves, what the next lab panel is likely to show, what the next scan is likely to find, and eventually how that trajectory changes under an intervention.

As a Research Scientist on this team you will be a key technical contributor, working directly with the Team Lead and MIL’s Chief Medical Scientist. You will design and train the models, own the evidence that they work, and ship them as the pretrained foundation upon which a portfolio of MIL products and tools build. The work is expected to reach large numbers of members and also the scientific literature; we publish, and we deliver.

You are a researcher who likes to ship and/or an engineer who insists on evidence. You have trained models on messy, irregular, real-world data and know that the evaluation design usually matters more than the architecture. You are comfortable being early; defining the problem, the dataset request and the metric before the first training run, and you communicate clearly with clinicians and regulators as well as with ML peers. You care that the model behaves well for the person on the other end of it.

You will help define the technical foundation of a new paradigm in healthcare. Your work will directly shape how millions of people understand and improve their health over decades and you will do it with data that no academic lab has, working closely with other scientists, engineers, and clinicians.

You’ll also have access to:

We’re aiming to build a diverse team and inclusive company culture. We are an equal opportunity employer and do not discriminate based on race, ethnicity, nationality, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.