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Postdoc Python Jobs in Chicago, IL (NOW HIRING)

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Postdoc Python information

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How much do postdoc python jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for postdoc python in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

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

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 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.

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 are popular job titles related to Postdoc Python jobs in Chicago, IL? For Postdoc Python jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Postdoc Python jobs? Cities near Chicago, IL with the most Postdoc Python job openings:
Postdoctoral Appointee - MSD AI for Materials Chemistry

Postdoctoral Appointee - MSD AI for Materials Chemistry

Argonne National Laboratory

Lemont, IL

$72.88K - $121.47K/yr

Full-time

Posted 14 days ago


Job description

The Materials Science Division is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Chemistry, with a focus on energy storage and conversion. This position offers an exciting opportunity to contribute to fundamental and applied research in materials chemistry using advanced computational techniques and artificial intelligence. The project involves:


1. Quantum Mechanical Calculations:
- Performing first-principles based or Density Functional Theory (DFT) calculations for molecules/materials and interphases
- Utilizing Molecular Dynamics (MD) simulations to study chemical transformations in materials.
2. Artificial Intelligence Applications:
- Leveraging conventional machine learning techniques for materials property prediction and Bayesian approaches
- Exploring Foundational Models and Agentic AI to address challenges in energy storage and conversion.

Position Requirements

Candidates must meet the following qualifications:
1. Educational Background:
- A recent or soon-to-be-completed PhD (within the last 0-5 years) in Materials Science, Computational Materials Science, Chemical Engineering or a closely related field.
2. Technical Expertise:
- Comprehensive understanding of applied computational materials science, including electronic structure methods and molecular dynamics.
- Experience with High-Performance Computing (HPC) systems and intelligent workflows.
3. Programming Skills:
- Proficiency in C++/or Python programming languages is essential.

4. Research Contributions:
- Demonstrated publications in AI for Materials Chemistry.
5. Collaboration and Communication:
- Willingness to work on multiple projects and collaborate effectively with interdisciplinary teams.
- Strong written and oral communication skills.
6. Core Values:
- Ability to model Argonne's core values: impact, safety, respect, integrity, and teamwork.

Preferred Qualifications
- Experience in integrating AI techniques with quantum mechanical calculations.
- Familiarity with recent advancements in Foundational Models and Agentic AI.

Please upload the following as attachments to your application via Workday:

  • CV/Resume

  • Unofficial Ph.D. Transcripts

  • If already awarded, a copy of your Ph.D. diploma. Candidates can be currently enrolled to apply, but must have proof of degree conferral by the position start date.

At the point of interview, candidates will be asked to submit the name/contact of three references.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.