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Health Phd Data Scientist Jobs (NOW HIRING)

VTG

Data Scientist

Herndon, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

MM International

Data Scientist

New York, NY · Remote

PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. * Relevant clinical development experience (programming, RBM/RBQM, Data Management ...

Waymo

Data Scientist

San Diego, CA

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... PhD in a quantitative field * Experience solving problems related to Autonomous Driving or Ride ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry experience working with real-world datasets * Experience with Agile Scrum development methodology * C# ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

THE TYPE OF CANDIDATE WE'RE LOOKING FORMaster's or PhD in Data Science, Statistics, or related field.5-8 years of data science experience.Expertise in Python, SQL, and machine learning frameworks.

Xforia, Inc.

Data Scientist

This role will be responsible for data science and ML Ops on the Databricks platform. This role ... MS or PhD preferred) in computer science, engineering, statistics, mathematics, or related field ...

Amgen, Inc.

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics ... health and welfare plans for staff and eligible dependents, financial plans with opportunities to ...

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics)

Amgen

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics ... health and welfare plans for staff and eligible dependents, financial plans with opportunities to ...

Victory

Data Scientist

Austin, TX · On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

VTG

Data Scientist

Chantilly, VA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Victory

Data Scientist

Austin, TX · On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Figma

Data Scientist, Core Data - PhD (2026)

Required : • PhD in a quantitative field (Statistics, Computer Science, Economics, Operations ... distributed data systems (e.g. Snowflake) through research or internships • Ability to ...

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Health Phd Data Scientist information

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$46K

$165K

$243.5K

How much do health phd data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for health phd data scientist 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 is a Health PhD Data Scientist?

A Health PhD Data Scientist is a professional who applies advanced statistical, computational, and analytical skills—often gained through a doctoral program—to solve complex problems in healthcare. They analyze large datasets from clinical trials, electronic health records, genomics, and other sources to uncover insights that can improve patient outcomes, healthcare processes, or medical research. This role often bridges the gap between medical experts and technical teams, ensuring that data-driven decisions are both scientifically sound and practically meaningful.

What are the key skills and qualifications needed to thrive as a Health PhD Data Scientist?

To thrive as a Health PhD Data Scientist, you need advanced knowledge of statistical analysis, machine learning, and domain expertise in healthcare, typically supported by a PhD in a relevant field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with healthcare data standards and databases are essential. Strong communication, critical thinking, and interdisciplinary collaboration skills help translate complex findings into actionable insights. These abilities are crucial for deriving meaningful results from health data and effectively supporting evidence-based decision-making in healthcare environments.

How do Health PhD Data Scientists typically collaborate with clinical teams to drive impactful research outcomes?

Health PhD Data Scientists frequently work alongside clinical teams, including physicians, nurses, and public health professionals, to design studies, interpret complex datasets, and translate findings into actionable healthcare solutions. Collaboration often involves communicating technical results in accessible ways, understanding clinical workflows, and aligning data-driven insights with patient care objectives. This interdisciplinary teamwork is essential for ensuring data science projects are both scientifically rigorous and practically relevant in real-world healthcare settings.

What is the difference between Health Phd Data Scientist vs Health Data Analyst?

AspectHealth Phd Data ScientistHealth Data Analyst
Required CredentialsPhD in health sciences, data science, or related fieldBachelor's or Master's in health, statistics, or related field
Work EnvironmentResearch institutions, academia, healthcare organizationsHospitals, clinics, healthcare companies
Employer & Industry UsageAcademic research, government agencies, healthcare researchHealthcare providers, insurance companies, public health agencies

The main difference between a Health Phd Data Scientist and a Health Data Analyst lies in their education, scope of work, and work environment. Health Phd Data Scientists typically hold doctoral degrees and focus on advanced research, model development, and scientific insights. In contrast, Health Data Analysts usually have bachelor's or master's degrees and focus on data collection, reporting, and basic analysis within healthcare settings. Both roles are essential in the healthcare industry but serve different functions based on expertise and responsibilities.

What are popular job titles related to Health Phd Data Scientist jobs?

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

Infographic showing various Health Phd Data Scientist job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Herndon, VA

VTG
See more jobs at VTGexternal

Full-time

Re-posted yesterday

Job description

Overview

VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.


What will you do?
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Develop, train, and validate machine learning and statistical models
  • Design and implement experiments, including A/B testing and predictive analytics
  • Collaborate with data engineers and analysts to ensure data quality and accessibility
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Build data visualizations and dashboards to present insights effectively
  • Deploy and monitor machine learning models in production environments
  • Continuously improve model performance and accuracy
  • Stay current with emerging data science techniques, tools, and technologies

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Education:UNAVAILABLEEmployment Type: FULL_TIME

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