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Data Fellow Jobs (NOW HIRING)

International Justice Mission

OR

The Global Risk Data & Analytics Fellow is a unique opportunity for a data-driven and risk-minded professional to apply private sector rigor to non-profit risk management.The Fellowcan expect their ...

New York University

CDS Faculty Fellow

New York, NY · On-site

$80K - $120K/yr

Description The Center for Data Science (CDS) at New York University (NYU) invites applications for its highly prestigious CDS Faculty Fellow positions. Building on the success of the Moore-Sloan ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

With the goal of becoming an independent researcher, research fellow will: - Design and Conduct research related to occupational health and safety. - Conduct analyses of occupational health data ...

LifeBridge Health

Research Fellow

Baltimore, MD · On-site

$19 - $40/hr

Summary Research Fellow Under the direct mentorship of a faculty physician and research staff ... Data Management & Analysis: Collect, manage, and analyze data using available software such as ...

Arcadia Science

Platform Fellow

Emeryville, CA

$56.70K - $76.90K/yr

The Opportunity We're closing the gap between biological data and biological understanding. Our ... We are seeking a Platform Fellow to join our Platform team for a 3-month fellowship. Platform uses ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$72.50K - $80K/yr

Postdoctoral Research Fellowship Biomedical Data Science The Kontorovich Laboratory, Cardiovascular Research Institute and Center for Inherited Cardiovascular Diseases Icahn School of Medicine at ...

Danafarber

Research Fellow

Boston, MA · On-site

$72K - $76.39K/yr

Responsibilities include designing and executing research projects, analyzing and interpreting data ... The Research Fellow is expected to stay current with relevant literature, adhere to research ...

Arcadia Science

Innovation Fellow

Emeryville, CA

$56.70K - $76.90K/yr

The Opportunity We're closing the gap between biological data and biological understanding. Our ... Fellows will scope pilot projects with clear decision points, with the goal of publishing their ...

HSS

Postdoctoral Fellow

New York, NY · On-site

$53.60K - $72.80K/yr

The fellowship is focused on developing a multidisciplinary approach integrating computer simulation, robotics, 3D imaging, and clinical data. This translational research effort requires a fellow ...

Arcadia Science

Innovation Fellow

Emeryville, CA

$8K - $12K/mo

The Opportunity We're closing the gap between biological data and biological understanding. Our ... Fellows will scope pilot projects with clear decision points, with the goal of publishing their ...

Arcadia Science

Innovation Fellow

Emeryville, CA · On-site

$8K - $12K/mo

The Opportunity We're closing the gap between biological data and biological understanding. Our ... Fellows will scope pilot projects with clear decision points, with the goal of publishing their ...

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Data Fellow information

What are the key skills and qualifications needed to thrive as a Data Fellow, and why are they important?

To thrive as a Data Fellow, you need strong analytical skills, proficiency in statistical analysis, and a background in data science, mathematics, or a related field. Familiarity with data analysis tools like Python, R, SQL, and visualization platforms such as Tableau is typically required, along with certifications in data science or analytics being advantageous. Critical thinking, problem-solving ability, and effective communication are essential soft skills for interpreting data and conveying insights to diverse stakeholders. These capabilities are crucial for extracting actionable information from complex datasets and supporting data-driven decision-making within organizations.

How do Data Fellows typically collaborate with other teams within an organization?

Data Fellows often work closely with cross-functional teams such as engineering, product management, and operations to ensure data-driven decision-making. They are responsible for translating complex data findings into actionable insights that support business objectives. Effective collaboration involves frequent meetings, shared project management tools, and clear communication to align on goals and deliverables. This collaborative environment not only fosters skill development but also provides visibility into various aspects of the business, helping Data Fellows grow in their careers.

What is a Data Fellow?

A Data Fellow is typically a professional engaged in a temporary, project-based role focused on data analysis, research, or data-driven decision-making within an organization. These positions are often offered through fellowships in academic, nonprofit, or public sector settings, giving fellows the opportunity to work on specific data projects, gain hands-on experience, and contribute to organizational goals. Data Fellows are expected to have skills in data collection, cleaning, analysis, and visualization, and may work on tasks such as building dashboards, conducting statistical analyses, or supporting data-driven policy decisions. The fellowship usually lasts for a fixed period, such as 6–12 months, and can be a stepping stone to more advanced data roles.
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Data Fellow jobs near you
Infographic showing various Data Fellow job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, and 14% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.
Postdoctoral Research Fellow in Sustainability and Data Science

Postdoctoral Research Fellow in Sustainability and Data Science

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 9 days ago

University Of Notre Dame rating

7.3

Company rating: 7.3 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

308th of 530 rated colleges and universities

Job description

Description
The University of Notre Dame invites applications for a cohort of outstanding Postdoctoral Research Fellows with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI). These fellows will join a dynamic, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology.
The research fellows will contribute to a new research project that is creating a Pan-Amazon Evidence and Action Hub for socio-economic and ecological flourishing in Amazonia. The hub will systematically synthesize and harmonize remote sensing, survey, census, and citizen science data to support analyses of issues for action in partnership with local communities and Indigenous Peoples in the Amazon region. Fellows will integrate and harmonize fragmented data from diverse sources into a coherent, usable form to support novel analyses that advance key sustainability goals. The work of the Hub will generate findings to support the design and adoption of interventions that respond to changing needs of the region and its people around climate change, energy, mining, soil and water contamination, food production and livelihoods.
The postdoctoral cohort will function as a central research skills hub, supporting and elevating the sustainability-related research efforts of faculty and students across Notre Dame. The fellows will help advance impactful, solution-oriented sustainability research that engages ecological, social, economic, and ethical dimensions in an integrated manner.
The postdoctoral fellows will assume the following key responsibilities:
  • Collaborate with faculty to design, implement, and support sustainability-related research projects requiring advanced data analytics.
  • Develop and maintain a centralized platform for the Pan-Amazon Evidence and Action Hub that hosts diverse and harmonized sustainability-related datasets, including environmental, socioeconomic, cultural, and geospatial data.
  • Harmonize, curate, and provide customized datasets across multiple spatial and temporal resolutions tailored to specific research questions and stakeholder needs.
  • Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable insights.
  • Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
  • Engage in collaborative grant writing and proposal development to sustain and expand the cohort's research initiatives.

This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative and Data, AI, and Computing Initiative, both significant investments from the Provost's Office. The Just Transformations to Sustainability Initiative is Notre Dame's University-wide effort to build a sustainable future where people and nature flourish together. The Data, AI, and Computing Initiative's core aim is to advance purposeful data, AI, and computing - excelling in foundational research while catalyzing interdisciplinary collaboration and real-world translation to address pressing societal challenges.
This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.
Qualifications
Required Qualifcations:
  • Ph.D. (in hand by the starting date) in Data Science, Computer Science, Statistics, Environmental Science, Sustainability Studies, or a related field with a strong quantitative focus. Applicants with an interdisciplinary degree are welcome.
  • Demonstrated proficiency in data management, data harmonization, and advanced data analysis techniques.
  • Strong programming skills in Python, R, and/or similar software.
  • Experience working with large and complex datasets, including geospatial and temporal data.
  • A strong publication record in data-driven sustainability research or closely related fields.
  • Excellent communication skills and an ability to work collaboratively with researchers from a wide range of disciplines.
  • Spanish language fluency or professional proficiency

Preferred Qualifications:
  • Experience working with socioeconomic data or other indicators of human wellbeing.
  • Experience working in multidisciplinary teams with researchers from diverse backgrounds.

Application Instructions
Applications will be reviewed on a rolling basis starting on November 1, 2025 and will continue until the positions are filled.
Interested applicants should submit the following materials at their earliest convenience.
  1. A cover letter that describes in detail how their research background and qualifications correspond to the position description outlined above.
  2. A detailed CV, including a list of conference presentations, publications, and research collaborations.
  3. A recent publication or dissertation chapter.
  4. Contact information for at least three references.

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