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Full Time Data Science Postdoc Jobs in Chicago, IL

Pursuit Aerospace

Lead Data Scientist

Chicago, IL · On-site

$144K - $198K/yr

... on a full-time basis. * Must be able to perform work subject to ITAR/EAR regulations. Preferred Qualifications: * Bachelor's degree in data science or related field preferred * Master's degree ...

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All JobsData Science Postdoc JobsFull Time Data Science Postdoc JobsFull Time Data Science Postdoc Jobs in Chicago, IL

Full Time Data Science Postdoc information

See Chicago, IL salary details

$59.2K

$70.1K

$132.9K

How much do full time data science postdoc jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time data science postdoc in Chicago, IL is $70,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $61,300.00 per year, depending on experience, location, and employer.

What is a full time data science postdoc?

A Full Time Data Science Postdoc is a postdoctoral research position focused on applying advanced data analysis, statistical modeling, and machine learning methods to solve complex problems in academic, industrial, or research settings. These positions are typically held by individuals who have recently completed a PhD in fields such as computer science, statistics, mathematics, or related disciplines. The role often involves working on large datasets, developing new algorithms, publishing research findings, and collaborating with interdisciplinary teams. Full-time postdocs are expected to dedicate their working hours entirely to research and related academic activities. This experience often serves as a bridge to permanent positions in academia or industry.

What are the key skills and qualifications needed to thrive as a full time data science postdoc?

To excel as a Full Time Data Science Postdoc, you need an advanced degree (usually a PhD) in a quantitative field, strong statistical analysis skills, and experience in research methodologies. Proficiency with programming languages such as Python or R, data analysis libraries, and tools like TensorFlow or SQL is typically required. Exceptional problem-solving ability, clear communication, and collaborative skills help you stand out in multidisciplinary research environments. These competencies are essential for generating impactful research outcomes, advancing scientific knowledge, and effectively sharing results with both technical and non-technical audiences.

What are the typical collaboration opportunities for a full time data science postdoc within a research institution or industry team?

As a Full Time Data Science Postdoc, you can expect to work closely with multidisciplinary teams that may include data engineers, domain experts, software developers, and senior researchers. Collaboration often involves joint problem-solving, co-authoring publications, and contributing to grant proposals or product development. You'll likely participate in regular meetings, data reviews, and brainstorming sessions, which provide valuable opportunities to expand your professional network and learn from colleagues in different fields. These collaborative experiences are not only essential for project success but also enhance your skills and visibility for future career advancement.

What are the most commonly searched types of Data Science Postdoc jobs in Chicago, IL?

The most popular types of Data Science Postdoc jobs in Chicago, IL are:

What are popular job titles related to Full Time Data Science Postdoc jobs in Chicago, IL?

For Full Time Data Science Postdoc jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Full Time Data Science Postdoc jobs in Chicago, IL look for?

The top searched job categories for Full Time Data Science Postdoc jobs in Chicago, IL are:

Full Time Data Science Postdoc jobs near you
Infographic showing various Full Time Data Science Postdoc job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,090 per year, or $33.7 per hour.

Postdoctoral Appointee - Hydrometallurgical Process Engineering and Chemical Separations

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Posted 20 days ago

Job description

The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee to conduct research in chemical process engineering, separations, and process intensification for recovery of critical materials from primary and secondary feedstocks. Responsibilities may include designing, constructing, and operating new experimental systems; supporting bench- and pilot-scale testing of hydrometallurgical processes such as leaching, solvent (liquid-liquid) extraction, and adsorption; evaluating process performance and operability; developing test plans and standard operating procedures; assisting with data analysis and technical documentation; and contributing to publications, reports, and sponsor deliverables.
The successful candidate will work closely with staff researchers and technical teams and will be expected to contribute to a safe, collaborative, and results-oriented research environment. The work will emphasize process engineering, experimental systems, and data-driven evaluation of process performance, with opportunities to collaborate with scientists, engineers, and external partners across national laboratory, university, and industrial settings.
Key Responsibilities:
  • Design, assemble, operate, and troubleshoot bench- and pilot-scale chemical process equipment
  • Plan and execute experiments related to separation processes, fluid handling, and process intensification
  • Collect, analyze, and interpret experimental data to assess process performance, stability, and scale-up considerations
  • Support development of process documentation, including test plans, operating procedures, and technical reports
  • Contribute to integration of instrumentation, controls, and data acquisition systems for experimental platforms
  • Work with aqueous and organic chemical systems and support characterization of process streams
  • Collaborate with multidisciplinary teams, including chemists, engineers, data scientists, and external project partners
  • Present results in internal reviews, sponsor meetings, conference presentations, and peer-reviewed publications
  • Maintain a strong commitment to safe work practices and compliance with laboratory requirements
  • Contributes to the development of white papers and proposals seeking support from existing and new research sponsors

Position Requirements
  • Ph.D. in Chemical Engineering, Mechanical Engineering, Mining Engineering, or a closely related discipline completed in the past 5 years or soon-to-be completed
  • Knowledge and experience in experimental research involving chemical or process systems
  • Familiarity with process instrumentation, sensors, controls, or data acquisition systems
  • Experience with one or more programming or analysis tools such as Python, MATLAB, LabVIEW, or similar platforms
  • Demonstrated ability to design and execute independent research
  • Strong written and verbal communication skills
  • Record of publications, presentations, or other technical outputs commensurate with career stage
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Knowledge, Skills, and Experience
  • Experience with inorganic chemical separation processes such as solvent extraction, adsorption, ion exchange, or related unit operations preferred but not required
  • Knowledge and experience in aqueous lanthanide/rare earth chemistry preferred but not required
  • Experience with rotating mechanical equipment preferred but not required

Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The 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.

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