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Health Phd Data Scientist Jobs (NOW HIRING)

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

PHd Job Function: Data and Analytics Job Subfunction: Data Science and AI PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative ...

Associate Director, Data Science

New York, NY · Hybrid

$64K - $65K/yr

PHd Job Function: Data and Analytics Job Subfunction: Data Science and AI PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative ...

Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us ... PhD data scientists at Robinhood. Since our founding, we have grown the team to include ...

Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us ... PhD data scientists at Robinhood. Since our founding, we have grown the team to include ...

Required Qualifications • PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related quantitative discipline. • 8-12 years of hands-on ...

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

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

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Health Phd Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Sep 10, 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, 77% Full Time, 16% Part Time, and 5% 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.

Current PhD - Data Science Internship - Summer 2027

New York, NY

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

Full-time

Re-posted 21 days ago


Key responsibilities

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Current PhD - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier:

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

  • Must be continuing in the same course of study of your PhD degree following completion of the internship

  • At least 6 months experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

  • At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern


Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern


McLean, VA: $176,000 - $176,000 for Data Science PhD Intern


New York, NY: $192,000 - $192,000 for Data Science PhD Intern


Plano, TX: $160,000 - $160,000 for Data Science PhD Intern


Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern


San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern


San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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