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Statistical Programmer Intern Jobs in Edison, NJ

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the ... D. in Data Science, Computer Science, AI, Statistics, Engineering, Applied Mathematics, or a ...

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 ...

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 ...

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... using programming languages such as Python or R. * Contribute to statistical analysis, hypothesis testing, and predictive modeling to support business objectives. Market Trends and Insights:

Collaborate closely with mentors across Business Intelligence, Analytics, Data Engineering, and ... Data science and statistics training * Comfort learning new tools, frameworks, or business domains ...

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Statistical Programmer Intern information

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$87.5K

$152.5K

$257.8K

How much do statistical programmer intern jobs pay per year?

As of May 28, 2026, the average yearly pay for statistical programmer intern in Edison, NJ is $152,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,400.00 and $165,600.00 per year, depending on experience, location, and employer.

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 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.
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Quantitative Research Intern (NLP)

Quantitative Research Intern (NLP)

Point72

New York, NY

Other

Posted yesterday


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.