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Overnight Healthcare Data Science Jobs (NOW HIRING)

Waymark

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

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 ...

Milliman

Healthcare Data Analyst (MedInsight)

Tampa, FL · On-site

Education Bachelor's degree in Computer Science, Data Analytics, Health Informatics, Statistics, Mathematics, Economics, Business Analytics, Healthcare Administration, or a related quantitative field ...

Milliman

Healthcare Data Analyst (MedInsight)

Omaha, NE · On-site

Education Bachelor's degree in Computer Science, Data Analytics, Health Informatics, Statistics, Mathematics, Economics, Business Analytics, Healthcare Administration, or a related quantitative field ...

LMI

$90K - $130K/yr

Analyze healthcare, compliance, and technical data to develop and maintain interactive reporting ... Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ...

Scalepex

Healthcare Data Analyst

Dallas, TX

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

WellSky

Healthcare Data Analyst

Overland Park, KS · On-site

$2.5K/yr

We invite you to apply today and join us in shaping the future of healthcare! Key Responsibilities: * Develop and maintain metrics, dashboards, and reports that impact data driven decisions.

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Overnight Healthcare Data Science information

What are some unique challenges faced by data scientists working overnight shifts in healthcare settings?

Data scientists working overnight in healthcare often encounter challenges such as limited access to real-time stakeholders, immediate technical support, and certain data sources that may only be updated during daytime hours. Additionally, they must be self-motivated and comfortable making independent decisions when team members are unavailable. However, the overnight shift can also allow for more focused, uninterrupted work time, which is beneficial for complex data analysis and model development.

What is an overnight healthcare data scientist?

An Overnight Healthcare Data Scientist is a professional who analyzes and interprets healthcare data during overnight shifts. These specialists use statistical methods, machine learning, and data analysis tools to extract insights from medical records, patient data, and operational metrics in real-time or near real-time. Their work may involve monitoring ongoing health events, supporting clinical decision-making, and ensuring data accuracy during nighttime hours. This role is critical in environments where healthcare operations run 24/7, such as hospitals or telehealth services, to help improve patient outcomes and operational efficiency.

What are the key skills and qualifications needed to thrive as an overnight healthcare data scientist?

To thrive as an Overnight Healthcare Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with healthcare datasets, usually supported by a degree in data science or a related field. Familiarity with programming languages like Python or R, data visualization tools, and healthcare-specific systems such as EHR databases and HIPAA compliance protocols is essential. Excellent problem-solving ability, attention to detail, and the capacity to work independently during overnight hours are important soft skills. These skills ensure accurate, compliant data analysis and enable timely insights that support critical healthcare operations around the clock.

What is the difference between Overnight Healthcare Data Science vs Healthcare Data Analyst?

AspectOvernight Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; knowledge of programming languages like Python or RBachelor's in Health Informatics, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentNight shifts in healthcare facilities or remote settings, focusing on data modeling and predictive analyticsDay shifts in hospitals or clinics, focusing on data reporting and interpretation
Employer & Industry UsageHospitals, healthcare tech companies, research institutionsHospitals, clinics, insurance companies, healthcare consulting firms

Overnight Healthcare Data Science involves working during night shifts to develop predictive models and analyze healthcare data, often requiring advanced technical skills. Healthcare Data Analysts typically work during daytime hours, focusing on interpreting data and generating reports. Both roles are vital in healthcare but differ mainly in work hours, technical complexity, and focus areas.

What cities are hiring for Overnight Healthcare Data Science jobs?

Cities with the most Overnight Healthcare Data Science job openings:

What are the most commonly searched types of Healthcare Data Science jobs?

The most popular types of Healthcare Data Science jobs are:

What states have the most Overnight Healthcare Data Science jobs?

States with the most job openings for Overnight Healthcare Data Science jobs include:

What job categories do people searching Overnight Healthcare Data Science jobs look for?

The top searched job categories for Overnight Healthcare Data Science jobs are:

Overnight Healthcare Data Science jobs near you
Infographic showing various Overnight Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data/AI Scientist II

Waymark

OR • On-site, Remote

$95K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

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!

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