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Statistical Programming Intern Jobs in Illinois (NOW HIRING)

Akuna Capital

Quantitative Research Intern

Chicago, IL

$130K/yr

What you'll do as a Quantitative Research Intern at Akuna: Akuna's Quant team is looking to add ... Pursuing a bachelor's, masters or PhD in Statistics, Computer Science, Engineering, Mathematics (or ...

Optiver

Quantitative Research Intern (PhD)

Chicago, IL

$80K - $90K/yr

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... Proficiency in any programming language * Experience in machine learning, with practical ...

GAI Consultants

Senior Relay Settings EIT 2

Lisle, IL · On-site +1

$106K - $138K/yr

Applies principles of probability and statistics to determine risk relevant to engineering. Minimum ... intern (EI) certification Technical Responsibilities * Performs moderate design tasks. * Prepares ...

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All JobsStatistical Programming Intern JobsStatistical Programming Intern Jobs in Illinois

Statistical Programming Intern information

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$12.7K

$78.9K

$152.7K

How much do statistical programming intern jobs pay per year?

As of Jun 22, 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:
What are popular job titles related to Statistical Programming Intern jobs in Illinois? For Statistical Programming Intern jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Statistical Programming Intern jobs in Illinois look for? The top searched job categories for Statistical Programming Intern jobs in Illinois are:
Statistical Programming Intern jobs near you
Software Engineer, Intern (Summer 2027)

Software Engineer, Intern (Summer 2027)

Aquatic Capital Management

Chicago, IL

Other

Posted 20 days ago

Job description

As a Software Engineering Intern at Aquatic, you will join a fast-moving team building high-performance, distributed systems that power our research and trading infrastructure. You'll work closely with experienced engineers and quants to design tools, improve system reliability, and optimize our platform for low-latency, high-throughput data processing. This is a hands-on, impactful role-your work will directly influence live systems and research workflows.

Requirements:

  • Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2027 and Spring 2028.
  • Solid programming skills in Python and/or C++
  • Strong understanding of algorithms, systems, and computer architecture
  • Curiosity about how things work, and a desire to build systems that do things better
  • Ability to thrive in a collaborative, fast-paced environment
  • Learn software design and testing techniques, such as Refactoring and Test Driven Development

Candidate qualities: 

  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleagues 

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