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Postdoc Python Jobs in Illinois (NOW HIRING)

... a Postdoctoral Research Associate (PRA) to join our team. The PRA will work with and directly ... as R, Python and/or Stata * Experience with survey analysis and programming in Qualtrics.

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Postdoc Python information

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 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 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 in Illinois are hiring for Postdoc Python jobs? Cities in Illinois with the most Postdoc Python job openings:
Postdoctoral Appointee - Humanoid and dexterous robotics development

Postdoctoral Appointee - Humanoid and dexterous robotics development

Argonne National Laboratory

Lemont, IL

$72K - $121K/yr

Full-time

Posted 27 days ago


Job description

This is an opportunity for a knowledgeable and creative individual to be part of a team developing advanced humanoid and dexterous robotic capabilities for scientific use-cases. Recent progress has solidified artificial intelligence (AI) as a key science accelerator, especially in concert with automated techniques for sample creation, movement, and evaluation. However, the flexibility and intelligence of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to closing this gap.


The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory.

Position Requirements

  • Recently completed PhD within the last 0-5 years in computer science, mechanical engineering, artificial intelligence, or related engineering disciplines
  • Experience with state of the art AI methods for robotics
  • Experience with robotics research strongly preferred
  • Experience in deep learning including data collection, architecture development, model training, and validation
  • Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
  • Scientific productivity, as demonstrated by publications and conference presentations
  • Effective oral and written communication skills
  • Ability to model Argonne's core values of impact, safety, integrity, respect and teamwork.

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.