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Postdoc Python Jobs in Boulder, CO (NOW HIRING)

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How much do postdoc python jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for postdoc python in Boulder, CO is $60.80, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $69.04 per hour, depending on experience, location, and employer.

What are some common challenges postdoctoral researchers face when working with Python in academic research?

Postdoctoral researchers using Python often encounter challenges such as integrating Python with legacy codebases written in other languages, managing complex dependencies and environments, and ensuring reproducibility of research results. Collaborating with interdisciplinary teams may also require adapting code for different data formats and computational needs. Staying up-to-date with the latest Python libraries and best practices is crucial, as is documenting code so that it can be easily understood and used by other researchers.

What does a postdoc Python do?

A Postdoc Python is a postdoctoral researcher who specializes in using the Python programming language for scientific research, data analysis, or software development. They typically work in academic or research settings, contributing to ongoing projects, developing computational tools, and publishing their findings. Their work may involve collaborating with other scientists, mentoring students, and advancing research through innovative coding and data analysis techniques. Proficiency in Python allows them to tackle complex problems in fields like bioinformatics, physics, engineering, and more.

Are Postdoc Python in demand?

Postdoc positions requiring Python skills are in demand in research, data science, and academia, especially for roles involving data analysis, machine learning, and scientific computing. Employers value proficiency in Python, along with experience in libraries like NumPy, pandas, and TensorFlow, making these roles competitive and often project-based or grant-funded.

What are the key skills and qualifications needed to thrive as a postdoc Python?

To thrive as a Postdoc Python, you need a PhD in a relevant field, strong research experience, and advanced proficiency in Python programming. Familiarity with data analysis libraries (like NumPy, pandas, and SciPy), version control systems (such as Git), and computational tools is typically required. Critical thinking, problem-solving, and effective communication help differentiate outstanding candidates in collaborative and interdisciplinary environments. These skills ensure that complex research projects are executed efficiently, reproducibly, and with meaningful scientific contributions.

What is the difference between Postdoc Python vs Data Scientist?

AspectPostdoc PythonData Scientist
Required CredentialsPhD or equivalent in relevant field, strong Python skillsBachelor's or Master's in Data Science, Computer Science, or related field; Python skills often required
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, consulting firms
Industry UsageResearch projects, academic publicationsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonPostdoc Python vs Data Scientist

While both roles require strong Python skills, a Postdoc Python typically focuses on research and academic projects, often requiring a PhD. In contrast, a Data Scientist applies Python in industry settings to analyze data, build models, and support business goals. The work environment and career paths differ, with Postdocs leaning toward academia and Data Scientists toward industry roles.

What cities near Boulder, CO are hiring for Postdoc Python jobs? Cities near Boulder, CO with the most Postdoc Python job openings:
Infographic showing various Postdoc Python job openings in Boulder, CO as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $126,456 per year, or $60.8 per hour.

NIST PREP Postdoc Associate in On-Wafer Standards

Southeastern Universities Research Association

Boulder, CO • On-site

$92K - $96K/yr

Full-time

Re-posted 13 days ago


Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: PREP0004210 - 672.01 (CHIPS) - On-Wafer Standards
The work will entail: This PREP position focuses on developing traceable on-wafer standards for 5G, 6G, and beyond. The position requires finite element simulations, programming, network analysis, dimensional metrology, web-based programming, and other skills. The position will use on-wafer methods to develop standards for mmWave industry to validate the authenticity of integrated circuits.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • The PREP student will coordinate all stakeholder engagement to understand industries need and coordinate regular updates to solicit feedback.
  • The PREP student will design, simulate, and assemble on-wafer electronics for mmWave test and measurement.
  • With the measurement systems integrated, the PREP student will perform all measurements and analysis on the data.
  • In coordination with NIST researcher, the PREP student will develop and carry out on-wafer metrology.

Qualifications
  • A PhD degree in Materials Science Engineering, or a related field.
  • 2 years of relevant experience with microelectronic fabrication.
  • Familiarity with programming in MATLAB and Python.
  • Experience with finite element simulations in ANSYS or COMSOL.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004210