Roam is revolutionizing healthcare by powering in-depth data analysis to put patients at the center of every industry decision.
Machine Learning Excellence
Roam's elite team of PhDs, machine-learning experts, data scientists, and engineers are building the world's richest and most structured view of doctors, hospitals, drugs, devices and patients to tackle healthcare's most complex problems.
Roam is ushering in an era of data-driven decision-making for the healthcare industry, which means major growth opportunities for our team, clients, and investors.
Our Core Values.
Clarify the task or problem, and then work toward a speedy, agile decision.
Groupthink destroys greatness, so challenge assumptions, voice concerns, and never worry about the consequences of being direct and honest.
Long-term contributions to our product, algorithmic approaches, and infrastructure are critical to building lasting partnerships with our customers.
Passion is essential to this ambitious project. It can be demonstrated in many ways and will ultimately be reflected in your contributions to Roam. Enthusiasm is everyone's responsibility.
We will encounter situations in which the odds are against us. If the goal is worthy, we march on, driven by our curiosity, taking calculated risks and learning from the results.
Challenge the status quo, question assumptions, and seek an understanding of the system as a whole. This will lead us to the most innovative solutions.
Our Open Positions.
Clinical Data Scientist
Clinical data scientists focus on leveraging Roam’s data and machine learning assets to create analyses of patient pathways through disease and treatment progression for clients and internal development efforts.Apply Online
Data engineers help develop diverse facets of the Health Knowledge Graph by connecting new data sources and annotating data, often by using machine learning tools to improve the process.Apply Online
Frontend engineers help bring to life ground breaking applications and systems that redefine how healthcare professionals work with data.Apply Online
Analytics and machine learning are the lifeblood of our company. ML engineers perform diverse work requiring knowledge of featurization, classification, entity resolution, and bespoke predictive modeling.Apply Online
ML Platform Engineer
ML platform engineers help architect and develop diverse facets of the Health Knowledge Graph and our data infrastructure to facilitate feature engineering, predictive modeling, and responsive web applications.Apply Online
Our NLP engineers engage focus on building active-learning machine learning systems, leveraging NLP tools to engineer rich text features, and develop models for sequence labeling, structured prediction, and text classification.Apply Online