Staff Data Scientist | Individual Contributor | Data & Machine Learning

Description Join the team shaping the future of healthcare! Medbridge is a dynamic software as a service company working with the country’s largest healthcare providers to build technology solutions helping patients get better faster, while decreasing the overall cost of care. 15 years serving Acute, Post-Acute, and Ambulatory settings. 4,000+ organizations, 360,000+ healthcare providers, and 15 million patients served annually. 9 of the top 10 largest hospitals and health systems, 9 of the top 10 largest private practices, and 6 of the top 10 largest home health agencies run on Medbridge. Why work at Medbridge? We are mission driven. Our mission is clear, we want to help everyone move well, feel well, and live well. Medbridge's Educate is built in-house by 600+ named instructors, many of whom wrote the guidelines clinicians already follow. Medbridge's Care gives those clinicians home exercise programs, patient education, clinical pathways, remote therapeutic monitoring, and outcomes collection inside the workflows they already use You'll shape the Data Science practice. This is Medbridge's first dedicated data science role, reporting to a Head of Data & ML who is a statistician by training and still writes code. You will set the modeling standards the team follows. Where do we hire? We are a remote first company and we hire ONLY in the following states: AZ, CO, FL, GA, ID, IL, KS, MA, MI, MN, MO, NH, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, and WI. About the role. The Staff Data Scientist is the senior individual contributor responsible for Medbridge's predictive and statistical models. The core problems are hard and consequential: comparing patient outcomes fairly across providers when patients differ, predicting what is likely to happen next, estimating whether a product or program changed anything, and, over time, recommending what to do. You own each problem end to end: framing it with product and clinical partners, choosing the method, building and validating the model, shipping it to production in Snowflake, monitoring and retraining it, and measuring whether it is used and what it changed. The role leads through influence rather than direct people management. In this role you will: Own the design, development, validation, and production operation of Medbridge's predictive and risk-adjustment models, beginning with the models behind our outcomes benchmarking product. Set the methodological bar: choose approaches that fit the question and the data, validate to a standard that holds up to outside expert scrutiny, and document decisions so partners understand and can question them. Write production-quality code: tested, versioned, reviewed, and reproducible, and own its deployment and monitoring in Snowflake in partnership with Data Engineering. Estimate whether Medbridge products, programs, and content change patient outcomes, using experimental and observational methods, and shape the instrumentation that makes those estimates possible. Turn ambiguous goals into well-posed problems with options and tradeoffs, work directly with product, engineering, clinical, and customer-facing teams to get models into the product, and establish the team's practices for evaluation, documentation, monitoring, and responsible use of healthcare data. What you will need to succeed: A track record of models that ran in production and held up: you have owned model code through deployment, monitoring, and retraining, and you can describe what broke and how you fixed it. Statistical depth you use every day: you reason about how the data were generated, recognize when a model's assumptions fail, quantify uncertainty, and can explain why one method fits a problem and another does not. Strong Python and SQL and disciplined software engineering, including testing, version control, code review, and reproducible pipelines. Snowflake experience is strongly preferred. Experience with messy real-world healthcare data, including product data used by clinicians, administrators, or patients, and working knowledge of causal inference and evaluation design. Experience taking a model from an open-ended business goal to a shipped product feature in partnership with product and engineering, and comfort being the first person on a problem. Judgement under constraint: when the data, timeline, or requirements are not what the ideal method assumes, you find a path to a defensible solution, explain the tradeoffs plainly, and know what would let you strengthen it later. Clear communication with clinical, product, and leadership audiences, including plain explanations of uncertainty, limitations, and tradeoffs, and a commitment to trustworthy, ethical use of healthcare data. Curiosity about new methods and tools, paired with the judgment to evaluate them before adopting them. A degree in statistics, biostatistics, computer science, economics, or another quantitative discipline, or equivalent capability developed through another professional path. We welcome nonlinear backgrounds and evaluate demonstrated scope and impact rather than relying on a specific credential or number of years. What would make you stand out: Experience with patient-reported outcome measures, risk adjustment, or outcomes benchmarking in a provider, payer, or quality-reporting setting. Experience with electronic health record (EHR), electronic medical record (EMR), or claims data. Experience building recommendation systems and measuring their adoption and downstream impact. Experience evaluating generative AI applications in a regulated domain (such as healthcare), including efficacy and safety review. Model documentation and validation that has withstood external review, such as diligence, audit, regulatory submission, or peer review. Experience as the first data science or ML hire in an organization. Our Values: Excellence: A job worth doing is a job worth doing RIGHT. We believe that excellence is never an accident. It’s the result of high intention, sincere effort, and intelligent execution. We are change-makers who push the boundaries of what is possible, continually reimagining patient care. We realize that our work impacts people’s health and demands that we hold ourselves to the highest possible standards. We know a good thing when we see it; when exceptional talent comes our way, we hire them and help them grow. We understand the value of time, and we give our best effort everyday because we have a day in which to give it. Fortitude: Our goals are big. Our dedication is bigger. We embrace ambitious and challenging projects with confidence in our ability to achieve them together. We are courageous as we venture into the unknown. We persevere in the face of difficulties. We do not let perfection be the enemy of progress; we focus on taking the next best step forward. We take ownership of our mistakes and of our successes, and we learn from both. Service: We work for something more important than ourselves. We care deeply about our colleagues, customers, and patients, ensuring our work at Medbridge has a lasting impact. We take a multi-disciplinary, data-oriented approach to solving problems. We lead with confidence and humility, embracing a servant-leadership mindset as we support and challenge one another to reach our shared goals. We know that if we do great work, we help people live healthier lives. Salary Range: $190,000 to $220,000 base salary. At Medbridge, salary ranges are assigned to a job based on 3rd party salary benchmark surveys. Individual pay within this range is informed by the candidate's skills, capabilities and experience. We embrace diversity and are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. No matter your background, your orientation, your identity expression, or whatever else makes you unique, if you want to raise the bar and join an amazing team of passionate people, then we'd love to work alongside you at Medbridge. #J-18808-Ljbffr