About Waymark
Waymark is a team of healthcare providers, technologists, and builders whose mission is to bring the best healthcare to people with Medicaid benefits. Guided by the communities we serve, we bring support and technology-enabled care to help primary care providers keep Medicaid patients healthy. We are building the tools and designing an approach to enable care to reach the patients who can benefit most.
Our core values embody the essence of what makes Waymark a unique team today, and what we look for, nurture, and sustain as a team.
- We are bold builders, believing that the greatest challenges in care delivery can be solved when we harness the power of community and technology.
- We are humble learners, seeking feedback and perspectives different from our own, and welcome challenges to our conclusions.
- We experiment to improve, actively seeking data to inform decisions and to assess our own performance.
- We act with focused urgency, our commitment to our mission drives us to tirelessly pursue results.
If this vision resonates with you, we hope you consider bringing your creativity, your energy, your curiosity to Waymark.
About this role
At Waymark, our data science work is grounded in a specific and meaningful challenge: using claims, EHR, and care worker data to help community health workers, social workers, pharmacists, and care coordinators deliver better care to Medicaid patients.
As a Data Scientist you will contribute to building the models and tools that these care teams rely on — risk models, care gap prediction, and ML/AI applications including LLM-based tools that translate raw clinical data into actionable guidance. You will work closely with senior data scientists and engineers to learn how ideas move from prototype to production, and will be expected to take on increasing ownership as you develop in the role.
This is a position for someone who is technically strong, eager to learn healthcare data, and motivated by the idea that their work will directly affect the care of low-income patients.
Responsibilities
- Build and validate ML and AI models on claims and EHR data for care delivery use cases including risk stratification and care gap identification, under guidance of senior data scientists
- Support the development of LLM-based tools and AI applications for care team workflows
- Develop and maintain Python code for data processing, model development, and ML pipelines, following software engineering best practices including version control, code review, and testing
- Collaborate with engineering, product, and analytics teams to understand requirements and translate them to technical solutions
- Develop Healthcare Subject Matter Expertise: Show a strong interest in healthcare data structures, quantitative methods, and data science applications in healthcare
Minimum Qualifications:
- A Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- Python Proficiency: 3+ years of hands-on Python experience including academic and project work — demonstrated through a GitHub portfolio or equivalent
- Solid foundations in statistical and machine learning methods, including classical ML and an understanding of modern AI and LLM applications
- Strong SQL skills and comfort working with large, messy real-world datasets
- Experience working with Git and collaborating in a team codebase
- Strong communication skills and ability to work closely with cross-functional stakeholders
Preferred Qualifications:
- 1-2 years of industry data science experience
- Exposure to healthcare data (claims or EHR) through coursework, research, or work experience
- Familiarity with ML experimentation practices — experiment tracking, model validation, reproducible workflows
- Genuine curiosity about healthcare and its intersection with technology
Hiring Range
US Employees in San Francisco/Bay Area, New York City - $123,000 - $164,000
US Employees in Boston, Los Angeles, Seattle, Washington DC - $113,000 - $151,000
US Employees in Arlington, Denver, San Diego, Sacramento - $108,000 - $144,000
US Employees in Albany, Atlanta, Austin, Baltimore, Central/Southern, Charlotte, Chicago, Dallas/Fort Worth, Detroit, Houston, Las Vegas, Miami, Milwaukee, Philadelphia, Portland, Research Triangle, Salt Lake City, Twin Cities - $98,000 - $131,000
US Employees in Baton Rouge, Birmingham, Charleston, Cincinnati, Cleveland, Daytona Beach, Indianapolis, Nashville, New Orleans, Omaha, Phoenix, Pittsburgh, St. Louis, Tampa - $95,000 - $127,000
In addition to salary, we offer a comprehensive benefits package. Here’s what you can expect:
Stock Options: Opportunity to invest in the company’s growth.
Work-from-Home Stipend: A dedicated stipend for your first year to help set up your home office.
Medical, Vision, and Dental Coverage: Comprehensive plans to keep you and your family healthy.
Life Insurance: Basic life insurance to give you peace of mind.
Paid Time Off: 20 vacation days, accrued over the year, plus 11 paid holidays.
Parental Leave: 16 weeks of paid leave for birthing parents after six months of employment, and 8 weeks of bonding leave for non-birthing parents.
Retirement Savings: Access to a 401(k) plan with a company contribution, subject to a vesting schedule.
Commuter Benefits: Convenient options to support your commute needs.
Professional Development Stipend: A dedicated stipend supports professional development and growth.
Offer of employment is contingent upon successful completion of a background check. Employment history and advance degree verification (when applicable) are included as part of the standard background check process.
Don’t check off every box in the requirements listed above? Please apply anyway! Studies have shown that some of us may be less likely to apply to jobs unless we meet every single qualification. Waymark is dedicated to building a supportive, equal opportunity, and accessible workplace that fosters a sense of belonging – so if you’re excited about this role but your past experience doesn’t align perfectly with every preferred qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!
