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Data Science Cardiology Jobs (NOW HIRING)

Medpace, Inc.

AI Scientist

Cincinnati, OH

Do you have a background in data science and/or computer science with experience working with AI ... cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective.

Medpace, Inc.

AI Scientist

Cincinnati, OH · On-site

Do you have a background in data science and/or computer science with experience working with AI ... cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective.

Medpace, Inc.

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 3+ years of experience ... cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective.

Medpace, Inc.

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 3+ years of experience ... cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective.

Provider Solutions & Development

Cardiologist

Seaside, OR · On-site

$357K - $403K/yr

The Cardiology practice on the Northern Oregon coast currently includes an established General ... Data Science (CARDS). This state-of-the-art institute is a leader in new therapies, and ...

Provider Solutions & Development

Cardiologist

Seaside, OR · On-site

$357K - $403K/yr

The Cardiology practice on the Northern Oregon coast currently includes an established General ... Data Science (CARDS). This state-of-the-art institute is a leader in new therapies, and ...

Yale University

Critical Care Cardiologist

New Haven, CT · On-site

$356K - $402K/yr

... data science, biomedical engineering, and health outcomes while providing robust mentorship and ... Specialized research centers within the Section include Yale Cardiology Research Group (YCRG), Yale ...

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$37.5K

$122.7K

$196.5K

How much do data science cardiology jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data science cardiology in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Cardiology vs Data Analyst Cardiology?

AspectData Science CardiologyData Analyst Cardiology
Required CredentialsAdvanced degrees (Master's/PhD), programming skills, statistical knowledgeBachelor's degree, basic data analysis skills
Work EnvironmentResearch settings, hospitals, healthcare tech companiesClinical departments, healthcare providers, administrative offices
Employer & Industry UsageMedical research institutions, biotech firms, hospitalsHospitals, clinics, healthcare organizations
Common Search & ComparisonMore technical, predictive modeling, machine learningData reporting, dashboards, descriptive analysis

Data Science Cardiology involves advanced analytics, machine learning, and predictive modeling, often requiring higher education and technical skills. Data Analyst Cardiology focuses on interpreting healthcare data, creating reports, and supporting clinical decisions. Both roles are vital in healthcare but differ in complexity and scope.

How does a Data Science professional in cardiology typically collaborate with clinicians and medical researchers?

Data Science professionals in cardiology work closely with clinicians and medical researchers to analyze complex health data, develop predictive models, and generate actionable insights for patient care. Regular collaboration often involves participating in interdisciplinary meetings, translating clinical questions into data-driven analyses, and communicating findings in a clear, accessible manner. Building strong relationships with healthcare teams is essential, as it ensures that the developed models and algorithms are practical and aligned with real-world clinical needs.

What is data science in cardiology?

Data science in cardiology is the application of advanced data analysis, machine learning, and statistical techniques to cardiovascular research and clinical care. It involves analyzing large datasets such as electronic health records, medical images, and patient monitoring data to uncover patterns, predict outcomes, and improve diagnosis and treatment of heart diseases. Data scientists in cardiology collaborate with clinicians and researchers to develop models that assist in personalized medicine, risk assessment, and early detection of cardiac conditions.

What are the key skills and qualifications needed to thrive as a Data Science professional in Cardiology, and why are they important?

To thrive as a Data Science professional in Cardiology, you need a strong background in statistics, machine learning, and domain knowledge in cardiovascular medicine, typically supported by a degree in data science, computer science, or biomedical engineering. Familiarity with tools like Python, R, SQL, and healthcare data systems such as electronic health records (EHRs), as well as relevant certifications, is highly valuable. Strong analytical thinking, collaboration with clinicians, and effective communication skills are essential soft skills for translating complex data into actionable clinical insights. These competencies are crucial for developing accurate predictive models and supporting evidence-based decision-making to improve patient outcomes in cardiology.
Infographic showing various Data Science Cardiology job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 73% Full Time, 24% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab

POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab

University Of Texas Southwestern Medical Cent (The

Dallas, TX • On-site

Other

Medical, Retirement, PTO

Posted 14 days ago

UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

103rd of 869 rated healthcare providers

Job description

POSTDOCTORAL RESEARCHER -We invite applications for a Postdoctoral Researcher position focused on applying LLMs and GeoAI in geospatial health data analysis. This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial health datasets on different topics (e.g., HIV, cardiology, and cancer) from various data sources (e.g., longitudinal health surveys, Electronic Health Record, open data). The successful candidate will also help develop an LLM-based spatial analysis tool, promote its use by public health researchers and practitioners, and assess the tool's acceptability and feasibility.
Description of Duties and Responsibilities:
Train and fine-turning LLMs and GeoAI models for geospatial health data analysis.
Develop an LLM-based spatial analysis tool and assess its acceptability and feasibility.
Collaborate with experts in epidemiology, health data science, and computer science.
Prepare manuscripts for peer-reviewed journals.
Present research at academic conferences.
Assist and develop new grant proposals on related topics for submission to funding agencies.
Mentor graduate students in the research team.
Term: One year with potential extension based on performance and funding availability
Visa sponorship: J-1 if needed

Required Qualifications:
A Ph.D. in Computer Science, Health Informatics, Geospatial Data Science, Statistics, or a related field.
Strong background in (geospatial) AI and generative AI/LLM.
Strong R or Python programming skills.
Proven ability to publish in high-impact academic journals.
Strong written and oral communication skills.
Desired Qualifications
Experience with GeoAI applications in Street View Images and Remote Sensing
Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization
Knowledge of spatial epidemiology

Interested individuals must upload a CV, cover letter, and a list of three references.

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

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