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Statistical Programming Intern Jobs in Manhattan, NY

Marquee Brands

Consumer Insights Intern

Manhattan, NY · On-site

$17/hr

This includes designing, programming, and fielding a survey, analyzing the results, and building a ... Analyze survey results using Excel or statistical tools (e.g., SPSS, R, or similar) * Synthesize ...

Marquee Brands

Consumer Insights Intern

Manhattan, NY · On-site

$17/hr

This includes designing, programming, and fielding a survey, analyzing the results, and building a ... Analyze survey results using Excel or statistical tools (e.g., SPSS, R, or similar)  * Synthesize ...

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Showing results 21-40

All JobsStatistical Programming Intern JobsStatistical Programming Intern Jobs in Manhattan, NY

Statistical Programming Intern information

See Manhattan, NY salary details

$15.9K

$98.5K

$190.7K

How much do statistical programming intern jobs pay per year?

As of Aug 21, 2026, the average yearly pay for statistical programming intern in Manhattan, NY is $98,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,472.00 and $149,017.00 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 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 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 are popular job titles related to Statistical Programming Intern jobs in Manhattan, NY?

For Statistical Programming Intern jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Statistical Programming Intern jobs in Manhattan, NY look for?

The top searched job categories for Statistical Programming Intern jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Statistical Programming Intern jobs?

Cities near Manhattan, NY with the most Statistical Programming Intern job openings:

Statistical Programming Intern jobs near you
Infographic showing various Statistical Programming Intern job openings in Manhattan, NY as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $98,515 per year, or $47.4 per hour.

Quant Developer / Quant Research Intern - 2026/2027

Anthelion Capital Holdings

New York, NY • On-site

$1.8K - $2.0K/wk

Full-time, Internship

Posted 28 days ago

Job description

About Anthelion
Anthelion Capital is an investment and data science platform. We augment our fundamental investment core with data science to make investments across the capital structure. We are building a proprietary platform that runs the full investment lifecycle, from underwriting to portfolio management.
What you'll do.
As an intern, you'll work directly with our quant team on a real piece of that platform.
Build the systems a systematic investment platform runs on - from the inside.
No prior finance, credit, or trading experience is required - we hire for quantitative and engineering ability and teach the domain.
What you might work on (matched to your strengths):
• Market or reference data ingestion with point-in-time correctness (no lookahead, as-of-date correct).
• Building and validating a candidate factor or risk model on the emerging platform, with an emphasis on robustness and out-of-sample validity.
• A piece of the research-to-production path - the tooling that promotes a signal to production by configuration rather than a rewrite.
• A component of the backtesting / simulation engine, the feature/signal store, or the portfolio optimizer.
We're looking for:
• Currently pursuing an undergrad, master's, or PhD in CS, math, statistics, physics, or a related quantitative field.
• Strong programming ability in Python (C++, Rust, or another language is a plus).
• Solid fundamentals in statistics and/or ML, and the instinct to be suspicious of results that look too good.
• Evidence of building things and going deep - research, open source, competitive programming (ICPC/Codeforces), Kaggle, olympiads, or substantial personal projects.
• Nice to have: exposure to markets/investing, data engineering, orchestration tools (Dagster/Prefect), or cloud (Azure).
Logistics: 12-week onsite internship - Fall 2026 (September-November); Winter 2026 (December-February); or Summer 2027 (June-August). Open to students graduating December 2026 through Summer 2028; PhD candidates with later graduation dates are also considered.
Additional Details:
Compensation: $1800 - $2000 per week depending on level of coursework. Strong interns are our primary source of full-time offers.
Location: Onsite, Midtown, New York City
Other: Must have US work authorization or ability to use OPT during the time of your internship.

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