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Trainee Data Science Jobs in Illinois (NOW HIRING)

University of Utah

Research Specialists

Campus, IL · On-site

$14.38 - $27.87/hr

Collaborate with clinical and research faculty, staff, and other trainees. Work within secure ... data science, applied mathematics, medical/health informatics, or a closely related discipline.

University of Utah

Research Specialists

Campus, IL

$14.38 - $27.87/hr

Collaborate with clinical and research faculty, staff, and other trainees. Work within secure ... data science, applied mathematics, medical/health informatics, or a closely related discipline.

University of Utah

Research Specialists

Campus, IL · On-site

$14.38 - $27.87/hr

Collaborate with clinical and research faculty, staff, and other trainees. Work within secure ... data science, applied mathematics, medical/health informatics, or a closely related discipline.

Loyola University Chicago

Staff Scientist

Chicago, IL · On-site

Projects will be data-driven, using a reverse translational approach. Our recent work revealed that ... Trainees who join Dr. Sodhi's Lab will gain experience in Molecular Genetics, Gene expression ...

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Trainee Data Science information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do trainee data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for trainee data science in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 per year, depending on experience, location, and employer.

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

How do I get a job in trainee data science with no experience?

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

What are the most commonly searched types of Data Science jobs in Illinois?

The most popular types of Data Science jobs in Illinois are:

What are popular job titles related to Trainee Data Science jobs in Illinois?

For Trainee Data Science jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Trainee Data Science jobs in Illinois look for?

The top searched job categories for Trainee Data Science jobs in Illinois are:

What cities in Illinois are hiring for Trainee Data Science jobs?

Cities in Illinois with the most Trainee Data Science job openings:

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Open Rank Full-Time Clinical Pathology Informatician and Medical Director #PAT049a

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

165th of 620 rated colleges and universities

Job description

Description
The University of Chicago's Department of Pathology seeks an academic clinical pathologist and informatician to join its faculty at any rank. The appointee will be based on the University of Chicago's Hyde Park campus but may also cover off-site outpatient laboratories. Additionally, the appointee will have clinical responsibilities in clinical pathology. The appointee will work under the direct supervision of the Vice Chair, Clinical Pathology. Academic rank, track, and compensation are dependent upon qualifications. This position is benefits eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
We are seeking a results-driven clinical informaticist to evaluate clinical, laboratory, and pathologic data to improve Pathology departmental operations as well as help target and monitor laboratory and pathology test utilization improvements and help to focus and monitor departmental and interdepartmental quality initiatives. The appointee will be gathering and evaluating operational and testing data, developing effective departmental information dashboards, and through data, enabling the department to collaborate on targeted healthcare service improvements. Other duties may include teaching and supervision of trainees and students, and scholarly activity.
In addition to critical operational and quality initiatives, there is the possibility that machine learning and predictive analytics might be developed with this data to contribute to optimized health services and quality patient care.
CLINICAL INFORMATICIST RESPONSIBILITIES:
  • Analyzing and interpreting data to identify areas that need improvement
  • Enhancing health information systems that support the collection, sharing, standardization, and integration of departmental healthcare data
  • Collaborating on improving standards of care, policies, and procedures
  • Training departmental staff on the use of any developed data analytics and displays
  • Providing technical support, optimizing security, and maintaining departmental databases as appropriate
  • Ensuring compliance in healthcare information management regulations
  • Documenting processes, maintaining records, and preparing reports
  • Keeping abreast of advancements in the field of clinical informatics

Prior to the start of employment, qualified applicants must: 1) have a medical doctorate or equivalent, 2) hold or be eligible for a medical license in the State of Illinois and the State of Indiana, 3) have board certification in AP/CP or CP only (with or without an additional subspecialty) through the American Board of Pathology, and 4) have the ability to carry and maintain CLIA licensure.
We especially welcome applicants who are board certified or eligible in clinical informatics or have substantial data science experience.
To be considered, those interested must apply through The University of Chicago, Academic Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/185896. Applicants must upload a CV including bibliography and cover letter. Review of applications ends when the position is filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.

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