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Statistical Programmer Intern Jobs in Massachusetts

ASCENSUS

Data Analyst Intern

Newton, MA · On-site

$20/hr

Collaborate with data engineering, IT, and analytics teams to learn how data pipelines and ... Currently pursuing a Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Apply and deploy established and novel statistical and machine learning algorithms to explore ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Apply and deploy established and novel statistical and machine learning algorithms to explore ...

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

... statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core ... Demonstrated software engineer experience via an internship, work experience, coding competitions ...

Jj

Test Engineer

Raynham, MA

The role requires the engineer to be capable of performing flawless verification tests to support ... Statistical analysis * Design Excellence/Six Sigma * Problem analyzing and solving * Project ...

Parker

University Student Semester Co-op

Devens, MA · On-site

$18.75 - $24.25/hr

Enrolled/progressing to a 4-year Bachelor's degree in Engineering. * Competency in grade-appropriate college level math. Studies in statistics, accounting, and analytics a plus. * Technical writing ...

Mativ

Quality Control Technician

Greenfield, MA · On-site

$17.50 - $22.25/hr

... Engineering * Effectively communicate changes to procedures and/or intern reaction to customer ... Record test data, applying statistical quality control procedures * Evaluate data and write reports ...

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Statistical Programmer Intern information

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.
What are the most commonly searched types of Statistical Programmer jobs in Massachusetts? The most popular types of Statistical Programmer jobs in Massachusetts are:
What are popular job titles related to Statistical Programmer Intern jobs in Massachusetts? For Statistical Programmer Intern jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer Intern jobs in Massachusetts look for? The top searched job categories for Statistical Programmer Intern jobs in Massachusetts are:
What cities in Massachusetts are hiring for Statistical Programmer Intern jobs? Cities in Massachusetts with the most Statistical Programmer Intern job openings:
Statistical Programmer Intern jobs near you
Infographic showing various Statistical Programmer Intern job openings in Massachusetts as of June 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.

Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Walleye Capital Internships

Boston, MA • On-site

$20K/mo

Temporary, Internship

Posted 16 days ago

Job description

Position: Quantic - PhD Quantitative Researcher Intern (Summer 2027)
Location: Boston, MA
Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you.
Firm Overview:
Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Quant, Fundamental Equities, and Volatility strategies.
Our Team Overview:
Walleye Capital is seeking highly quantitative and creative PhD Quantitative Researcher Interns to work in the rapidly growing Quantic team based out of Boston. Quantic is Walleye's principal quantitative investment business, established in 2016 as one of its core investment strategies. Quantic has subsequently evolved into one of the most successful trading teams in the industry.
We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets Quantic apart is our pragmatic, engineering-driven culture, where achieving goals-and achieving them the right way-takes precedence. We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented researchers to help elevate our capabilities and join us on this journey.
This role offers the opportunity to engage directly with cutting-edge data analysis, portfolio optimization, platform development, and operation of fully automated trading systems. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite researchers with a proven record of innovation and achievement in their fields to apply.
Position Overview:
As a Quantic Intern, you'll work directly with experienced team members on meaningful projects that impact trading strategies and operations. You'll have the opportunity to work on high-impact initiatives and develop your skills in a dynamic setting where innovation, teamwork, and talent drive success.
We are seeking students with strong technical backgrounds (e.g., mathematics, statistics, computer science, or engineering), demonstrated initiative, and an interest in quantitative trading and research. Successful interns are curious, collaborative, and eager to tackle complex problems in a fast-paced, supportive environment.
The internship is 10 weeks in length and will take place in Boston from June to August 2027.
Responsibilities:
  • Research, design, and test predictive signals, data sets, and systematic trading strategies.
  • Extract and analyze large datasets from structured and unstructured sources, applying advanced statistical and computational methods.
  • Enhance research infrastructure and tools for trading, risk management and attribution.
  • Develop machine learning models to predict patterns in asset returns, risks, trading costs, or other portfolio-relevant variables.
  • Design and implement scalable code across various stages of the investment process.
  • Work in Python and/or R, with opportunities to contribute to research tools and libraries.
  • Leverage AI tools including LLM-based analytical pipelines to enhance processes and analyses.

We seek individuals who:
  • Are pursuing a PhD degree in computer science, engineering, statistics, operations research, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028.
  • Possess strong programming skills-particularly in Python or R-and hold experience working with large datasets, APIs, or databases.
  • Demonstrate rigorous analytical thinking, statistical modeling abilities, and familiarity with techniques from machine learning, optimization, or time-series analysis.
  • Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team.
  • Exhibit a genuine interest in financial markets, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments.
  • Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha.
  • Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range:
The expected monthly pay for this position is $20,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from Boston (domestic travel only).
The deadline to apply for this opportunity is Friday, October 30 at 11:59pm ET. For questions about the process, please review our Campus FAQs.
Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you.
Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.
Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.

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