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Cardiology Data Scientist Jobs (NOW HIRING)

Verana Health

Data Scientist

Manhattan, NY · On-site

$190K - $220K/yr

... cardiology, to oncology. Our long‑term vision is for our AI layer to safely transform patient ... We're hiring an exceptional data scientist to join our team (Boston or NYC office). In this role ...

Boston Scientific Gruppe

$102K - $194K/yr

Boston Scientific is seeking an experienced Principal Data Scientist - Marketing Analytics to join our Cardiology Marketing and Digital Enablement team. This role will apply advanced analytics ...

New

Socket.dev

Forward Deploy Data Scientist

Boston, MA · On-site

$150K - $180K/yr

... from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely ... We're hiring our first Forward Deploy Data Scientist. You'll work directly with customers and ...

Iterative Health

Staff Data Scientist

Cambridge, MA

$200K - $325K/yr

... and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect ... We're looking for a Staff Data Scientist to be the person who understands our data deeply enough to ...

Iterative Health

Staff Data Scientist

Cambridge, MA · On-site

$200K - $325K/yr

... and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect ... We're looking for a Staff Data Scientist to be the person who understands our data deeply enough to ...

Rocket Pharmaceuticals, Inc.

... data science, advanced modeling techniques, and integration of genotype- and phenotype-based approaches. * Build, maintain, and continuously refine a novel rare cardiology data and analytics platform ...

Rocket Pharmaceuticals

NJ · On-site

... using data science, advanced modeling techniques, and integration of genotype‑ and phenotype‑based approaches. * Build, maintain, and continuously refine a novel rare cardiology data and ...

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, endocrinology, central nervous system, and 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, endocrinology, central nervous system, and anti-viral and anti-infective.

Boston Scientific

Data Product Manager

Maple Grove, MN · On-site

Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the ... We are seeking an experienced Data Product Manager to join our Cardiology Marketing & Digital ...

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Cardiology Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do cardiology data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for cardiology data scientist 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 a cardiology data scientist?

Cardiology Data Scientists are professionals who use data analysis, machine learning, and statistical tools to interpret complex cardiovascular data. They collaborate with cardiologists and medical researchers to analyze patient records, imaging data, and clinical trial results, aiming to improve diagnosis, treatment, and patient outcomes in cardiology. Their work often involves building predictive models, identifying trends, and translating large datasets into actionable insights for healthcare providers.

How does a cardiology data scientist typically collaborate with clinicians and other healthcare professionals?

Cardiology Data Scientists work closely with cardiologists, nurses, and healthcare administrators to understand clinical challenges and translate them into data-driven solutions. They participate in interdisciplinary meetings to discuss research objectives, share analytical findings, and refine predictive models based on real-world medical feedback. Effective communication skills are essential, as they often need to explain complex data concepts to non-technical team members and ensure that solutions are both accurate and clinically relevant.

What are the key skills and qualifications needed to thrive as a cardiology data scientist, and why are they important?

To thrive as a Cardiology Data Scientist, you need a strong background in data analysis, machine learning, and a solid understanding of cardiology or biomedical science, usually supported by an advanced degree in data science, computer science, or a related field. Proficiency with programming languages such as Python or R, experience with data visualization tools, and familiarity with healthcare data standards like HL7 and electronic health records are essential. Strong communication, critical thinking, and collaboration skills help translate complex data insights into actionable clinical strategies. These competencies are crucial for developing reliable data-driven solutions that improve patient outcomes and advance cardiology research.

What is the difference between Cardiology Data Scientist vs Cardiologist Data Scientist?

AspectCardiology Data ScientistCardiologist Data Scientist
Required CredentialsData science degree, coding skills, healthcare analytics experienceMedical degree (MD), cardiology certification, clinical experience
Work EnvironmentHealthcare institutions, research labs, health tech companiesHospitals, clinics, cardiology departments
Employer & Industry UsageHealth tech firms, research organizations, hospitalsMedical facilities, cardiology practices, hospitals

The main difference is that a Cardiology Data Scientist combines data science expertise with healthcare analytics focused on cardiology, often working on data-driven projects. In contrast, a Cardiologist Data Scientist has medical training and specializes in clinical cardiology, integrating medical knowledge with data analysis. Both roles require healthcare familiarity, but the Cardiology Data Scientist emphasizes data skills, while the Cardiologist Data Scientist emphasizes clinical expertise.

What are popular job titles related to Cardiology Data Scientist jobs?

For Cardiology Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Cardiology Data Scientist job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Manhattan, NY • On-site

Verana Health
IT Services • 51 - 200 employees
Learn more about Verana Healthexternal

$190K - $220K/yr

Other

Re-posted 6 days ago

Key responsibilities

  • Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from healthcare data.

  • Apply and evaluate cutting‑edge NLP and generative AI methods to solve clinical problems.

  • Work with customers to leverage Layer Health's platform and improve their workflows.

Job description

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM‑powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long‑term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Job Description

We’re hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare.

Responsibilities
  • Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured healthcare data.
  • Apply and rigorously evaluate cutting‑edge methods to solve real clinical problems.
  • Work hand‑in‑hand with our customers to best leverage Layer Health’s platform and supercharge their workflows.
  • Stay up‑to‑date on the latest in applied NLP and generative AI techniques and proactively explore these technologies where applicable.
  • Establish and enforce best practices for data science and analytics.
  • Cultivate and foster a robust and thoughtful data science and product culture that drives the company forward.
Qualifications
  • 5‑7+ years of professional experience as a data scientist working for a company with major ML dependencies.
  • At least 3‑4 years of healthcare / clinical applications experience.
  • A solid foundation of ML/methods.
  • Fluent programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.).
  • Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically.
  • Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus).
  • Proactive mindset to identify and solve problems, continuously improving our data science capabilities.
  • A strong communicator who thrives in a customer‑focused, fast‑paced environment.
  • An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
  • We are a Boston‑based company, and expect engineers to meet regularly in‑person in Boston (engineers from Boston, NYC, or east coast are welcome).
Compensation

Expected compensation range for this role is $190,000 - 220,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

Application Note

If you are excited about this role, we encourage you to apply even if you don’t feel you meet every single requirement. We’re eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.

Equal Opportunity Employer

Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

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