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Statistical Programmer Intern Jobs in Elgin, IL (NOW HIRING)

DRW

Software Developer Intern

Chicago, IL · On-site

$225K/yr

As a Software Developer Intern , you will build advanced trading and risk applications leveraging ... Conduct robust research using a data driven approach to employ statistical analytics on large data ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site +1

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to ... Solid foundation in mathematics, probability, and statistics. * Experience with programming or ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to ... Solid foundation in mathematics, probability, and statistics. * Experience with programming or ...

DRW

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Conduct statistical analysis of market data, historical trends, and relationships across multiple ... Proficient programming skills with experience exploring large datasets * Strong analytical and ...

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All JobsStatistical Programmer Intern JobsStatistical Programmer Intern Jobs in Elgin, IL

Statistical Programmer Intern information

See Elgin, IL salary details

$83.5K

$145.6K

$246.1K

How much do statistical programmer intern jobs pay per year?

As of Aug 4, 2026, the average yearly pay for statistical programmer intern in Elgin, IL is $145,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $158,200.00 per year, depending on experience, location, and employer.

What does a statistical programmer intern do?

A Statistical Programmer Intern supports data analysis and reporting for clinical trials or research projects by writing and validating statistical programs, often using software like SAS, R, or Python. They collaborate with statisticians and data managers to ensure the accuracy and integrity of datasets and outputs. Interns may also assist in creating tables, listings, and figures for regulatory submissions or publications, providing valuable hands-on experience in the field of biostatistics or data science.

What are the key skills and qualifications needed to thrive as a statistical programmer intern, and why are they important?

To thrive as a Statistical Programmer Intern, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and basic data analysis, often supported by progress toward a degree in statistics, mathematics, computer science, or a related field. Familiarity with statistical software, data visualization tools, and version control systems like Git is often expected. Attention to detail, problem-solving abilities, and strong communication skills help interns effectively manage data tasks and collaborate with team members. These competencies are vital for ensuring accurate data processing, clear reporting, and successful contribution to research or clinical projects.

What types of projects do statistical programmer interns typically work on, and how do these contribute to larger team objectives?

Statistical Programmer Interns often assist in tasks such as cleaning and analyzing clinical or research data, creating data visualizations, and writing code for statistical analyses under the supervision of experienced programmers. These projects contribute to larger team objectives by supporting data-driven decision-making, ensuring data integrity, and helping to prepare reports for regulatory submissions or publication. Interns usually collaborate closely with biostatisticians, data managers, and other programmers, gaining exposure to real-world challenges and learning how their work fits into broader organizational goals.
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Statistical Programmer Intern jobs near you

Software Engineer, Intern (Summer 2027)

Aquatic Capital Management

Chicago, IL

Other

Re-posted 4 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 Summer 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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