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Piscataway, NJ · On-site

... postdoctoral fellows, and data science professionals, by promoting and exemplifying a culture of diversity, equity, inclusion, and access. Applications should include a cover letter, CV, publication ...

Moffitt

The NCI-funded Integrated Program in Cancer and Data Science ( ICADS ) at Moffitt Cancer Center is seeking highly motivated postdoctoral fellows to join a unique interdisciplinary training program ...

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How much do data science postdoc jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data science postdoc in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a data science postdoc?

A Data Science Postdoc is a temporary research position, typically at a university or research institution, for individuals who have recently completed a PhD. The role focuses on applying advanced data science techniques, such as machine learning, statistical modeling, and big data analysis, to solve complex research problems. Postdocs often work on interdisciplinary projects, collaborate with faculty, publish academic papers, and may also contribute to teaching. The goal is to build expertise, advance knowledge in a specific domain, and prepare for roles in academia, industry, or government.

What are typical daily or weekly responsibilities for a data science postdoc?

Data Science Postdocs often spend their days designing and conducting advanced data analyses, developing and testing predictive models, and communicating results through reports or academic publications. They frequently collaborate with faculty, graduate students, and industry partners on interdisciplinary projects, contributing their quantitative expertise. Additionally, Data Science Postdocs may mentor junior researchers, participate in lab meetings, present findings in seminars, and contribute to grant proposals. This dynamic environment provides opportunities to deepen research skills, publish impactful work, and prepare for future career advancement in academia or industry.

What are the key skills and qualifications needed to thrive in a data science postdoc position?

To thrive as a Data Science Postdoc, you need advanced analytical skills, expertise in statistical modeling, a doctoral degree in a quantitative field, and proven experience with data-driven research. Proficiency in programming languages like Python or R, along with experience using machine learning libraries, data visualization tools, and version control systems, is typically required. Excellent problem-solving abilities, collaborative teamwork, and effective communication skills help set outstanding candidates apart. These attributes are crucial for advancing knowledge, publishing impactful research, and working effectively within interdisciplinary research teams.

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Data Science Postdoc jobs near you
Infographic showing various Data Science Postdoc job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

PostDoctoral Associate in Computational Social Science

Boulder, CO • On-site

Complex Systems Society
See more jobs at Complex Systems Societyexternal

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Posted 11 days ago

Job description

PostDoctoral Associate in Computational Social Science

PostDoctoral Associate in Computational Social Science at University of Colorado, USA

The research groups of Professors Daniel Larremore and Aaron Clauset at the University of Colorado Boulder are seeking exceptional candidates for a postdoctoral research associate, to work on an innovative project modeling the dynamics of the scientific ecosystem. This project will combine theories and methods from Computational Social Science, Statistical Inference, Dynamical Systems, Ecology, and Evolutionary Biology to better understand the way that science and knowledge production work.

The initial term of the position is one year, with the possibility of up to two renewals, and will begin as early as January 2020 and no later than August 2020.

Ideal candidates will have a strong mathematical, statistical, and computing background; a strong track record of innovative research and publications in selective venues; and expertise in computational social science, ecology, and/or data science. The project will focus on developing new statistical and mathematical models of the causal forces that shape the structure and dynamics of the scientific workforce, spanning individual researchers and their careers, competition among departmental units, and the evolution of entire fields. Our main tools are probabilistic models, random walks, causal inference, and statistical algorithms, coupled with ideas from statistical physics, social science, and ecology. Familiarity with one or more of these techniques is desirable, but is not a requirement.

Qualifications
  • A Ph.D. (or equivalent) in Applied Mathematics, Computer Science, Statistics, or Physics, or in a quantitative branch of Ecology, Sociology, or Computational Social Science, or in a similar field, conferred no later than August 2020
  • Education or training in statistics, data analysis, and programming
  • Strong communication and presentation skills
  • A commitment to working in an interdisciplinary and collaborative environment.

For additional information, please contact Dan Larremore daniel.larremore@colorado.edu or Aaron Clauset with subject line "Science of Science Postdoc".

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