[Hiring] Staff Data Scientist @MedBridge Inc.

Role 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.

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.
• Recommending what to do over time.

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.
• 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.

Qualifications

• A track record of models that ran in production and held up.
• Statistical depth you use every day.
• Strong Python and SQL and disciplined software engineering.
• Experience with messy real-world healthcare data.
• Experience taking a model from an open-ended business goal to a shipped product feature.
• Judgement under constraint.
• Clear communication with clinical, product, and leadership audiences.
• Curiosity about new methods and tools.
• A degree in statistics, biostatistics, computer science, economics, or another quantitative discipline.

Requirements

• Experience with patient-reported outcome measures, risk adjustment, or outcomes benchmarking.
• 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.
• Model documentation and validation that has withstood external review.
• Experience as the first data science or ML hire in an organization.

Benefits

• Salary Range: $190,000 to $220,000 base salary.
• Salary ranges are assigned based on 3rd party salary benchmark surveys.
• Individual pay is informed by the candidate's skills, capabilities, and experience.

Company Description

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.

If you’re excited about this opportunity and think Medbridge is the right fit for your career, apply now!

Please note: Due to reports of phishing, we're requesting that all Medbridge applicants apply through our official careers page at https://www.medbridge.com/careers . All official communication from Medbridge will come from email addresses ending with @medbridge.com.