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Health Phd Data Scientist Jobs (NOW HIRING)

Aven

Data Scientist

Campbell, CA · On-site

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline. * Strong foundation in data analysis, statistical modeling, and machine learning ...

Apple

Data Scientist

Cupertino, CA · On-site

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

Required : • 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) • ...

Apex Informatics

Data Scientist

Clean, transform, and integrate healthcare data from various sources to ensure accuracy and ... Less ok too, if they have a PHd and some exp. Strong understanding of machine learning algorithms ...

Waymo

Data Scientist

Mountain View, CA · On-site

$170K - $216K/yr

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 ...

MANTECH

Data Scientist

Fort George G Meade, MD

PhD. with 6+ years of relevant experience. * Familiarity with commercial and open-source data science software. * Familiarity with relational databases: Oracle, SQL, and ETL tools.

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

PhD in engineering or a related field. * Experience with AWS, Azure, cloud computing technologies. * Experience designing efficient data science workflows and database architecture. * Experience with ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

PhD. with 6+ years of relevant experience. * Familiarity with commercial and open-source data science software. * Familiarity with relational databases: Oracle, SQL, and ETL tools.

CVS Health

Data Scientist (Decision Sciences Team)

$64K - $173K/yr

As a Data Scientist, you will work with other data scientists and analysts on prospective study ... Familiarity with Epic Electronic Health Record (EHR) system Education: * A PhD or a Master's degree ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

PhD. with 6+ years of relevant experience. * Familiarity with commercial and open-source data science software. * Familiarity with relational databases: Oracle, SQL, and ETL tools.

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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 11, 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, Underwriting

San Francisco, CA • On-site

Parafin, Inc
See more jobs at Parafin, Incexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
Our Impact
Data science is integral to Parafin's mission. Our platform partnerships and lending history provide rich insights into the financial health of small businesses around the world. This empowers us to create fair, automated, and broad access to financial services. As Parafin scales, the breadth and depth of our data grows with it, amplifying the impact we can have on customers and the trajectory of our business.
Our Team
Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and craftsmanship.
Our WorkThe underwriting team builds and relentlessly improves the systems that determine eligibility, sizing, and pricing for Parafin lending products. Every dollar originated by the company is derived from underwriting's business-critical assets. Our work ensures that Parafin stands out among lenders for its distinctive ability to use data and technology, and deliver a highly automated, accurate, and fair lending experience.
Our team partners closely with leaders across the company to shape what is possible: how can we make our underwriting more reliable? What data is most important to collect, to provide the best outcomes and growth? What new markets and products should we expand into? We look for teammates who balance the creativity and courage to implement new ideas, with the scientific rigor that helps ensure those ideas succeed.
Example projects:
  • Training a quantile regression model to forecast the distribution of SMB revenues and precisely size our financing offers
  • Using LLMs to help build a risk model and forecast that lets us underwrite merchants on banking transaction data
  • Performing risk-based pricing optimization and experimentation
  • Collaborating with engineering to build a modular real-time underwriting system
  • Building a simulation platform to model and evaluate conversion and risk exposure across varied configurations for our financing offers
  • Ingesting new data sources from both 3rd parties and partner platforms, and evaluate their use in improving our risk predictions

Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews.
About You
Your Impact
You will make an outsized impact on Parafin's trajectory by leading projects from end to end. You will quickly learn new methods, apply them across diverse areas of the business, and implement them robustly. You will develop expertise in specific areas of the business, but may tackle projects across domains as our priorities evolve.
You'll own the full data-science lifecycle, from research to deployment, to power our underwriting engine. Specifically, you will:
  • Design, train, and deploy production underwriting models
  • Design experiments and metrics to drive risk and pricing decisions
  • Partner with engineering and product teams to architect automated underwriting systems
  • Identify business opportunities to improve growth and profitability via improvements to our underwriting posture

Your Background and Skills
We are open to candidates from a variety of academic backgrounds and professional experiences. We believe the most effective data scientists bring the following skills to their work:
  • Statistical Reasoning
    • Approach data analysis with a critical, intellectually honest eye
    • Design concise metrics that guide decision making
    • Employ robust experimental design and causal inference methods
    • Develop valid and predictive machine learning models
  • Business Acumen
    • Identify and effectively prioritize business problems
    • Solve business problems using appropriate data science techniques
    • Anticipate the impact of your work on our financial performance, customers, and compliance obligations
  • Engineering Mindset
    • Write legible, reliable, and tested code
    • Build or source tools to boost the team's efficiency
    • Architect technical systems that are highly scalable, reliable, and observable
  • Leadership and Collaboration
    • Model Parafin's values of efficiency, intellectual honesty, accountability, and empathy
    • Build trusted relationships with stakeholders
    • Document work, seek feedback, and share learnings proactively
  • Focused Execution
    • Prioritize high-impact use of your time
    • Scope projects rigorously
    • Act with urgency

What We Offer
  • Salary:
    DS/ Senior DS: $200k - $260k + EQ
    Staff/Principal: $265-330k+ EQ
  • Equity grant
  • Medical, dental & vision insurance
  • Work from home flexibility
  • Unlimited PTO
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Apply