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Statistical Programming Intern Jobs in Manhattan, NY

The ideal candidate will have strong machine learning, data science and software engineering skills ... Strong understanding of machine learning and statistics * Prior research experience preferred

Integrated within the data science team, the intern data scientist will work on data projects ... engineering or business school, currently pursuing a degree in data science, Statistics ...

Algorithmic Developer - Intern

New York, NY ยท On-site

$200K - $300K/yr

You should have excellent programming and analytical skills and be excited to apply these talents ... Applied knowledge of statistical analysis. * Passion for solving complex quantitative problems ...

Algorithmic Developer - Intern

New York, NY ยท On-site

$200K - $300K/yr

You should have excellent programming and analytical skills and be excited to apply these talents ... Applied knowledge of statistical analysis. * Passion for solving complex quantitative problems ...

Quantitative Developer Intern

New York, NY ยท On-site

$21 - $27.50/hr

Strong programming experience in Python with production-level coding quality * Experience with Unix ... Knowledge of statistics and machine learning is a plus * Willing to take ownership of his/her work ...

Showing results 41-60

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:

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.

Quantitative Research Intern (NLP)

Point72

New York, NY โ€ข On-site

Internship

Re-posted 26 days ago


Job description

ROLE/RESPONSIBILTIES:
We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.
The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.
Responsibilities may include:
  • Using NLP to construct features from varied datasets
  • Formulating research hypotheses to derive alpha
  • Building and testing the performance of trading signals based on NLP and financial features
  • Launching identified signals into production

REQUIREMENTS:
  • Bachelor's, Master's or PhD candidate in computer science or other quantitative discipline
  • Proficient in Python and general software engineering principles (github, testing, dev workflow)
  • Strong understanding of machine learning and statistics
  • Prior research experience preferred
  • Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
  • Data science stack familiarity preferred
  • An interest in financial markets
  • Great attitude
  • A collaborative mindset
  • Commitment to the highest ethical standards

ABOUT POINT72:
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.