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Healthcare Data Science Jobs (NOW HIRING)

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Strong communication skills and a proven track record in data science are essential. Research Development: Leverage expertise in healthcare administrative and clinical data to support the design and ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Healthcare Data Architect

Richmond, VA

$63 - $81.25/hr

Position: Healthcare Data Architect Location: Richmond, VA Length: 3 months- w/option for extension MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data. Key Responsibilities • Design, build, and optimize ETL/ELT pipelines using Azure ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Experience preparing and analyzing large healthcare data sets, such as claims, electronic health ... Tools for data science : Familiarity with modern coding standards for data science including ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

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Healthcare Data Science information

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$46K

$165K

$243.5K

How much do healthcare data science jobs pay per year?

As of Jul 22, 2026, the average yearly pay for healthcare data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Healthcare Data Scientist, and why are they important?

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

What are some common challenges faced by healthcare data scientists when working with clinical data?

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.
More about Healthcare Data Science jobs
What cities are hiring for Healthcare Data Science jobs? Cities with the most 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 Healthcare Data Science jobs? States with the most job openings for Healthcare Data Science jobs include:
Infographic showing various Healthcare Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Heersink School of Medicine-Instructor (Data Science)

Heersink School of Medicine-Instructor (Data Science)

The University of Alabama at Birmingham

Birmingham, AL

Full-time

Posted 20 hours ago


University Of Alabama At Birmingham rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

230th of 560 rated colleges and universities


Job description

Position Information
School/College School of Medicine Title Heersink School of Medicine-Instructor (Data Science) Assignment Category Full-Time Rank Instructor Tenure Status Non-Tenure Track Payroll Status Faculty 12 Job Description
We are seeking a highly motivated and skilled Instructor of Data Science to join the Department of Anesthesiology and Perioperative Medicine. The successful candidate will begin by providing insights and recommendations through advanced data analysis, contributing to various data science projects. Over time, the role will transition to leading a waveform lab, focusing on innovative research and development in healthcare data science. This transition will involve creating a team of PhD students, Post-Doctoral Fellows, and junior faculty.

Initial Responsibilities:
  1. Data Analysis and Hypothesis Testing: Utilize advanced mathematical, statistical, scientific, and computational techniques to develop, test, and validate hypotheses. Techniques may include probability models, artificial intelligence (AI), machine learning, data mining, pattern recognition, data visualization, predictive analytics, data warehousing, artificial intelligence, and other complex methods.
  2. Tool and Model Development: Develop new tools and models or integrate existing ones to analyze large and unstructured data sources, particularly with generative AI.
  3. Presentation of Findings: Prepare and present interpretations of data findings to internal and external clients.
  4. Mentorship: Mentor and train junior staff, faculty, and trainees, fostering a collaborative and educational environment.
  5. Collaboration: Work with university-wide resources (e.g., graduate CS department, informatics group, medical faculty and staff, epidemiologists, statisticians) to maximize data usage for improving patient outcomes.
  6. Knowledge Sharing: Demystify complex deep learning and statistical learning techniques, both in application to our data and in understanding published research.
  7. Project Support: Strengthen ongoing projects such as designing patient risk scorecards, waveform analysis, and generative AI integration.
Transitioning Responsibilities:
  1. Waveform Lab Leadership: Lead the establishment and development of a waveform lab within the data science team.
  2. Hiring and Training: Recruit, hire, and train PhD students, Post-Docs, and junior faculty, providing guidance and leadership in their research endeavors.
  3. Research Direction: Set the research agenda for the waveform lab, focusing on innovative applications of data science in anesthesiology.
  4. Funding and Grants: Secure funding through grants and other sources to support the lab's research activities.
  5. Collaboration Expansion: Expand collaborative efforts with other departments and institutions to enhance research output and impact.
  6. Academic Contributions: Contribute to the academic mission of the department through teaching, publishing research, and participating in academic conferences.

Required Qualifications
  1. PhD in Mathematics, Science, Data Science, Computer Science, Statistics, or a related field.
  2. Strong background in advanced data analysis techniques, including artificial intelligence, machine learning, data mining, and predictive analytics.
  3. Experience with large, unstructured data sources and the development of analytical tools and models.
  4. Proven track record of research and publication in relevant fields.
  5. Excellent communication skills, with the ability to present complex findings to diverse audiences.
  6. Experience in mentoring and training junior staff or students.
  7. Ability to work collaboratively across departments and with external partners.
Preferred Qualifications
  • Experience in healthcare data science, particularly in anesthesiology or a related medical field.
  • Prior experience in leading research teams or labs.
  • Demonstrated success in securing research funding.
Posting Detail Information
Posting Number F2666P Open Date 06/27/2025 Close Date Open Until Filled No Nondiscrimination Statement
UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, religion, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
Special Instructions to Applicants Pre-employment Background Check
A pre-employment background check investigation is performed on candidates selected for employment.
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About University of Alabama at Birmingham

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The University of Alabama at Birmingham is the heartbeat of Birmingham and an integral medical leader in the Southeast. The Birmingham campus is within walking distance of some of the best parks, entertainment, and dining in the region. UAB's three regional campuses expand their academic reach and responsibilities in addition to educating physicians in rural and underserved areas of the state. UAB is experiencing major and sustained investment and growth, due both to its exceptional research faculty and its culture of collaboration. Through concerted and strategic investments in its clinical and research enterprise, UAB has undergone an amazing transformation in the past five years and has strengthened its status and reputation as a leader in medical training, biomedical discovery, innovation, and patient care.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Birmingham, AL, US

Year founded

1859