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Medical Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Pwc

Payer Healthcare Data Scientist, Manager

Raleigh, NC

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

NCSU

Data Science Librarian

Raleigh, NC

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ... Medical , Dental , and Vision * Flexible Spending Account * Retirement Programs * Disability Plans

Gilead

Manager, IT Data, ML & AI Engineering

Raleigh, NC · On-site

$126K - $163K/yr

AI/ML Data Scientist, US Commercial As part of our enterprise AI strategy to speed life-changing ... AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Medical, Dental, and Vision * Flexible Spending Account * Retirement Programs * Disability Plans

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Medical, Dental, and Vision * Flexible Spending Account * Retirement Programs * Disability Plans

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All JobsMedical Data Scientist JobsMedical Data Scientist Jobs in Raleigh, NC

Medical Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do medical data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for medical data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a medical data scientist?

A Medical Data Scientist is a professional who specializes in analyzing complex healthcare data to uncover insights that can improve patient outcomes, medical research, and operational efficiency within healthcare organizations. They use statistical analysis, machine learning, and data visualization techniques to interpret large datasets, such as electronic health records, genomic data, or clinical trial results. Medical Data Scientists work closely with clinicians, researchers, and IT specialists to develop predictive models, identify trends, and support evidence-based decision making. Their work is essential in advancing personalized medicine and optimizing healthcare practices.

What are the key skills and qualifications needed to thrive as a medical data scientist?

To thrive as a Medical Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in data science, computer science, or a related medical discipline). Expertise in tools such as Python, R, SQL, and experience with healthcare data standards (like HL7 or FHIR) or certifications in health informatics are highly valuable. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders set outstanding candidates apart. These skills ensure accurate analysis of complex healthcare datasets, enabling data-driven decisions that improve patient outcomes and operational efficiency.

How does a medical data scientist typically collaborate with healthcare professionals and interdisciplinary teams?

Medical Data Scientists often work closely with clinicians, biostatisticians, IT specialists, and researchers to analyze healthcare data and develop actionable insights. Collaboration may involve translating complex data findings into practical recommendations for patient care or operational improvements. Effective communication skills are essential, as you'll frequently present results to non-technical stakeholders and gather input to refine analytical models. This interdisciplinary approach helps ensure that data-driven solutions are both scientifically sound and clinically relevant.

What is the difference between Medical Data Scientist vs Data Analyst in Healthcare?

AspectMedical Data ScientistData Analyst in Healthcare
Required CredentialsDegree in Data Science, Biostatistics, or related field; knowledge of healthcare dataDegree in Data Analysis, Statistics, or related; often less specialized in healthcare
Work EnvironmentResearch institutions, hospitals, healthcare tech companiesHospitals, clinics, healthcare organizations, insurance companies
Employer & Industry UsageUsed for developing predictive models, research, and advanced analyticsUsed for reporting, data visualization, and basic data interpretation

Medical Data Scientists focus on advanced analytics, predictive modeling, and research within healthcare settings, requiring specialized skills and education. Data Analysts in Healthcare typically handle data reporting and visualization tasks, often with less emphasis on complex modeling. Both roles are vital but differ in complexity, scope, and technical expertise.

What do you need to be a medical data scientist?

To become a medical data scientist, you typically need a strong background in data science, statistics, or computer science, often with a master's or doctoral degree in a related field. Proficiency in programming languages like Python or R, experience with healthcare data and tools such as SQL, and knowledge of medical terminology and privacy regulations are also important. Strong analytical skills and the ability to interpret complex medical data are essential for this role.

What does a medical data scientist in healthcare do?

A medical data scientist in healthcare analyzes large and complex medical datasets to identify patterns, improve patient outcomes, and support clinical decision-making. They use statistical methods, machine learning, and data visualization tools to interpret health data, often working with electronic health records, medical imaging, and genomic information. Strong programming skills and knowledge of healthcare regulations are essential for this role.

What are popular job titles related to Medical Data Scientist jobs in Raleigh, NC?

For Medical Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Medical Data Scientist jobs in Raleigh, NC look for?

The top searched job categories for Medical Data Scientist jobs in Raleigh, NC are:

Medical Data Scientist jobs near you
Infographic showing various Medical Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Applied Genetics Scientist - Pipeline Data Science

Syngenta

Durham, NC • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Company Description

About Syngenta

Syngenta is a leading developer and producer of seeds. We bring farmers stronger, more vigorous, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity's most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. 

Job Description

Applied Scientist - Pipeline Data Science

  • Type: Permanent 
  • Department: Seeds Development / Vegetables
  • Location: Enkhuizen - NL, RTP - US

Into action

Do you thrive at the intersection of data engineering, predictive analytics, and innovation? As our Applied Scientist - Pipeline Data Science, you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust, efficient pipelines, you'll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation. 

The challenge

As an Applied Scientist, you'll focus on building the infrastructure that makes data accessible, reliable, and actionable for diverse stakeholders. Your key responsibilities will include: 

  • Building Scalable Data Pipelines: Design, implement, and optimize data pipelines that integrate and consolidate data from multiple sources, ensuring seamless data flow and availability. 
  • Ensuring Data Quality and Reliability: Contribute to data mining, curation, analytics and visualization of data sets to gain deep understanding of the crop(s) and enable successful application of technology
  • Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches. 
  • Collaborating Across Teams: Work closely with IT, applied data science teams, and business stakeholders to align data solutions with organizational goals, addressing unique data needs efficiently. 
  • Identify opportunities to incorporate advanced analytics, including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
  • Influence adoption of genomic prediction methods, contribute towards their integration in the breeding process and the transformation of respective breeding schemes

This role combines creativity and problem-solving with a focus on real-world applications. You'll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations. 

Qualifications

Your profile

PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This comprises, but is not limited to, OPT, CPT, and H-1B visa holders.

We seek a detail-oriented Applied Scientist with a Master's in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related fields. You combine strong technical skills, analytical insight, and a collaborative mindset.

  • Programming: Skilled in Python, R, SQL; experienced with relational and NoSQL databases.
  • Cloud: Familiar with AWS services and infrastructure.
  • Analytics: Able to uncover patterns in large datasets and translate findings into actionable recommendations.
  • Collaboration: Effective team player, able to communicate technical concepts to diverse stakeholders.
  • Bonus: Experience with Docker/Kubernetes, machine learning frameworks (Keras, PyTorch, scikit-learn), and interest in plant breeding or agricultural innovation.
Additional Information

What We Offer:

  • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
  • Full Benefit Package (Medical, Dental & Vision) that starts your first day.
  • 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
  • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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