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Data Science Fellowship Jobs (NOW HIRING)

Smart Data

15490 Senior Data Scientist II

Cincinnati, OH

$120K - $160K/yr

Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community. Job Title: Senior Data Scientist Location: Cincinnati, OH (Downtown 5x ...

Anthropic

Data Scientist, GTM

New York, NY · On-site

About the role As part of our growing Data Science & Analytics team, you will play an instrumental ... You will work across multiple segments and products, partnering with analytics engineers, fellow ...

Generac

Data Scientist II

Waukesha, WI

We are looking for someone that leads data science projects from start to finish, defining the ... Review pull requests from fellow team members. * Evaluate project ideas and provide technology ...

Stord, Inc.

Staff Data Scientist

Play a leading role in defining Stord's data science and ML technology stack, tooling, and infrastructure choices * Work alongside fellow data scientists and ML ops to establish standards and best ...

Quantifind

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ...

Radiance Technologies

Data Scientist

Working alongside government leaders, analysts, engineers, and fellow data scientists, you will transform complex datasets into actionable intelligence that improves operational effectiveness and ...

Quantifind

Associate Data Scientist

Washington, DC

$66K - $67K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ...

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All JobsData Science Fellowship Jobs

Data Science Fellowship information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science fellowship jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data science fellowship 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 are the key skills and qualifications needed to thrive as a Data Science Fellow, and why are they important?

To thrive as a Data Science Fellow, you need a strong background in statistics, programming (often in Python or R), and data analysis, usually supported by an advanced degree in a quantitative field. Familiarity with machine learning libraries, data visualization tools, and version control systems is typically required, along with experience using platforms like Jupyter or SQL databases. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These skills and qualities are vital for extracting actionable insights from data and effectively collaborating with multidisciplinary teams.

What is a Data Science Fellowship?

A Data Science Fellowship is an intensive training program designed to help individuals develop advanced skills in data science, analytics, and machine learning. These fellowships typically combine hands-on projects, mentorship, and networking opportunities to prepare participants for careers in data science. They often cater to recent graduates, career changers, or professionals seeking specialized experience, and may last anywhere from a few weeks to several months. Many programs also offer real-world experience by partnering with companies for project-based learning.

What types of projects and collaboration opportunities can I expect during a Data Science Fellowship?

During a Data Science Fellowship, you can expect to work on real-world, data-driven projects that tackle challenges faced by partner organizations or sponsors. Fellows often collaborate closely with multidisciplinary teams, including other data scientists, domain experts, and sometimes clients, to develop actionable solutions. This environment fosters learning through peer feedback and mentorship, while providing the chance to build a diverse portfolio. Regular meetings, code reviews, and presentations are common, helping fellows develop both technical and communication skills essential for career advancement.
More about Data Science Fellowship jobs
What job categories do people searching Data Science Fellowship jobs look for? The top searched job categories for Data Science Fellowship jobs are:
Data Science Fellowship jobs near you
Infographic showing various Data Science Fellowship job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Temporary. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

PRIMeD at Fred Hutch - Postdoc Recruitment in Immunology, Medicine, and Data science

Fred Hutchinson Cancer Center

Seattle, WA • On-site

$67K - $67K/yr

Full-time

Posted 21 days ago

Job description

Description
Hosted by Fred Hutch's Immunotherapy and Translational Data Science Integrated Research Centers
The Translational Data Science and Immunotherapy Integrated Research Centers at Fred Hutchinson Cancer Center invite Ph.D. (or equivalent) students and recent graduates planning to begin a postdoctoral position by November 2027 to apply for PRIMeD at Fred Hutch Cancer Center in Seattle, WA. This fully funded, three-day visit allows prospective postdoctoral fellows the opportunity to explore the breadth of research in immunotherapy and data science at Fred Hutchinson Cancer Center. Participants will have the opportunity to share their research, learn about faculty research programs, network with Fred Hutch postdocs and faculty, and learn about the postdoctoral training environment and the vast resources available at Fred Hutch. This program is designed for students interested in pursuing a postdoctoral fellowship in immunology and/or data science. Students either currently in immunology, data science or interested in switching fields are equally encouraged to apply.
Students accepted into the program will give an oral presentation of their work, hear from Fred Hutch scientists, and have opportunities to engage in scientific discussions with Fred Hutch faculty and trainees. Following the symposium, participants can apply for open positions in labs of interest, and those hired will have the opportunity to apply for postdoctoral fellowships through the IRCs.
Immunotherapy at Fred Hutch
Immunotherapy research at Fred Hutch builds on decades of pioneering work in basic immunology and transplantation with the overarching goal of discovering curative therapies for all cancers. Built from a solid foundation of translational research in solid and hematologic malignancies, our group includes strong research programs in cell therapy (TCR/CAR) and transplant immunotherapy and is expanding in tumor microenvironment, immune checkpoint & regulation, immunogenomics, and therapeutic vaccines, among others.
For more information about the IIRC, please visit IIRC at Fred Hutch
Data Science at Fred Hutch
Recent advancements in statistics, computational techniques, and experimental technologies are transforming how we generate and analyze data. This big data has big potential. That potential can only be fully realized through collaboration between researchers with complementary skill sets, approaches, and resources. The Translational Data Science Integrated Research Center (TDS IRC) harnesses these advances and expertise to spur innovation and open new avenues for preventing and treating cancer and related diseases. The TDS IRC builds on recent data-based advances in the biomedical sciences, including technologies that are driving the generation of massive datasets, the exponential growth of publicly available data, and revolutionary approaches in statistics, machine learning, and artificial intelligence that are changing data analysis.
For more information about the TDS IRC, please visit TDS IRC at Fred Hutch
Program Overview (subject to change)
Day 1-
  • Arrive in Seattle
  • Organized Social Events and Tours of the Area
  • Welcome Reception
  • (optional early arrival)

Day 2-
  • Faculty Presentations
  • Postdoc Poster Session Lunch
  • Participant Presentations
  • Optional Fred Hutch Resource Fair
  • Dinner with Fred Hutch Postdocs

Day 3-
  • Postdoc Ask Me Anything Session over Breakfast
  • Participant Presentations
  • Group Lunch based on Selected Track
  • 1:1 Meetings with Faculty
  • Optional Lab Tours
  • Dinner with Fred Hutch Faculty

Day 4-
  • Participants are Free to Explore the Seattle Area
  • Departure

Participating Labs
The application will ask you to select up to 5 labs of interest. Please see the PRIMeD website to view participating labs and faculty: IIRC Faculty List and TDS IRC Faculty List
Eligibility
  • Open to students from all scientific fields interested in pursuing postdoctoral training in immunology or data science.
  • Ph.D. (or equivalent) students and recent graduates planning to begin a postdoctoral position by November 2027 (~1 year from event)
  • Domestic and International applicants welcome

Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for postdoctoral positions at Fred Hutch.
What is Included
  • Roundtrip flight to Seattle
  • Up to 3 nights in hotel
  • Meals + Ground transportation
  • Optional tour of Seattle

Participants are responsible for covering any additional lodging expenses incurred for arrivals prior to departures after the program dates.
Important Dates
  • Application deadline: June 1st
  • Notifications sent by: July 1st
  • Program Dates: October 8-9, 2026 (October 7-optional early arrival)

Contact Info
Please contactCarlyn Fausto (cfausto@fredhutch.org) with any questions.

Apply