1

Statistical Programming Intern Jobs in Illinois (NOW HIRING)

As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading ... physics, statistics, computer science or any engineering related field and have an expected ...

Programming experience in Python or C++ * Expertise in statistics and machine learning * Financial ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Programming experience in Python or C++ * Expertise in statistics and machine learning * Financial ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Student Intern

Downers Grove, IL · On-site +1

$20 - $25/hr

Duravant is a global engineered equipment company with an over 100-year operating history. Through ... Currently pursuing a degree in Statistics, Data Science, Analytics, Economics, or a related field

Student Intern

Downers Grove, IL · On-site

$20 - $25/hr

Duravant is a global engineered equipment company with an over 100-year operating history. Through ... Currently pursuing a degree in Statistics, Data Science, Analytics, Economics, or a related field

Math Intern

Chicago, IL · On-site

$25/hr

... statistics. * Experience in Excel, especially in the use of linking and formulas to dynamically calculate probabilities and describe complicated probabilistic events. * Programming skills in C ...

... statistics. * Experience in Excel, especially in the use of linking and formulas to dynamically calculate probabilities and describe complicated probabilistic events. * Programming skills in C ...

next page

Showing results 1-20

Statistical Programming Intern information

See Illinois salary details

$12.7K

$78.9K

$152.7K

How much do statistical programming intern jobs pay per year?

As of Jul 19, 2026, the average yearly pay for statistical programming intern in Illinois is $78,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,415.00 and $119,337.00 per year, depending on experience, location, and employer.

What does a Statistical Programming Intern do?

A Statistical Programming Intern assists in analyzing data and creating statistical reports, often using software languages like SAS, R, or Python. They help design and implement data analysis plans, support senior statisticians or data scientists, and ensure data quality and integrity. Their work is crucial in fields like clinical research, finance, and marketing, where data-driven decision-making is essential. Interns gain hands-on experience with real-world datasets and learn best practices in data management and statistical analysis.

What is the difference between Statistical Programming Intern vs Data Analyst Intern?

AspectStatistical Programming InternData Analyst Intern
Required SkillsProgramming (R, SAS, Python), statistical methodsData analysis, Excel, SQL, visualization
Work EnvironmentPharmaceutical, biotech, or research labsBusiness, marketing, or finance sectors
Typical TasksData cleaning, statistical modeling, programmingData interpretation, reporting, dashboards

Both roles often require programming and data skills, but Statistical Programming Interns focus more on statistical modeling and programming tasks within research environments, while Data Analyst Interns handle broader data analysis and reporting in business settings. They share similar entry-level requirements but differ in industry focus and daily responsibilities.

What types of projects or tasks can a Statistical Programming Intern expect to work on during their internship?

As a Statistical Programming Intern, you will typically assist with data cleaning, preparation, and analysis for ongoing research or clinical studies. You might be responsible for writing and testing code in SAS, R, or Python to generate tables, listings, and figures, as well as supporting the development of statistical analysis plans. Interns often collaborate closely with biostatisticians, data managers, and clinical teams to ensure high-quality data outputs. This role offers valuable exposure to real-world datasets and best practices in statistical programming, providing a solid foundation for future roles in data science or biostatistics.

What are the key skills and qualifications needed to thrive as a Statistical Programming Intern, and why are they important?

To thrive as a Statistical Programming Intern, you need a solid grounding in statistics, programming (often with R or SAS), and data analysis, typically supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with statistical software, version control systems like Git, and database tools is highly beneficial, alongside any relevant certifications in programming languages or analytics platforms. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting data and collaborating with team members. These skills are important because they enable interns to accurately analyze data, contribute to research projects, and support informed decision-making in data-driven environments.
What are the most commonly searched types of Statistical Programming jobs in Illinois? The most popular types of Statistical Programming jobs in Illinois are:
Infographic showing various Statistical Programming Intern job openings in Illinois as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 60% Full Time, 22% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $78,893 per year, or $37.9 per hour.
Campus AI Research Engineer (Intern)

Campus AI Research Engineer (Intern)

Jump Trading

Chicago, IL • On-site

$300K/yr

Full-time, Internship

Posted 10 days ago


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
We are seeking world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, or pushing the boundaries of AI research from concept to production, you'll have the opportunity to work on impactful projects in a fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing AI/ML capabilities, we want to meet you.
What You'll Do:
  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate AI/ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:
This role covers a wide range of potential projects and skills. We don't expect everyone to have all of these, but for the applicable areas we are looking for deep technical expertise.
  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Proficiency in Python and/or C++
  • Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
  • Ability to thrive in a collaborative, team-oriented environment
  • Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
  • Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
  • Excellent written and verbal communication skills in English
  • Reliable and predictable availability

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role (annualized) is $300,000 per year.