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Statistical Programmer Intern Jobs in Edison, NJ

Haize Labs

Software Engineer Intern

Manhattan, NY

$100K - $125K/yr

Software Engineer Intern NYC Haize Labs gets LLM apps out of POCs and into production. We eliminate ... Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering ...

JDC

Human Resources Intern

New York, NY · On-site +1

$16.50 - $22/hr

Frequently cited statistics show that historical biases in hiring lead to fewer applications from ... Internship Program Coordination * Assist with developing and supporting internship programming and ...

Bertelsmann

Data Science Intern

Manhattan, NY · On-site

$19/hr

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 ...

Ardian

Data Scientist Intern

New York, NY · On-site

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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All JobsStatistical Programmer Intern JobsStatistical Programmer Intern Jobs in Edison, NJ

Statistical Programmer Intern information

See Edison, NJ salary details

$87.5K

$152.5K

$257.8K

How much do statistical programmer intern jobs pay per year?

As of Jun 22, 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 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

Haize Labs

Manhattan, NY

$100K - $125K/yr

Other

Posted 11 days ago

Job description

Software Engineer Intern

NYC

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:

  1. Data-efficient alignment of evaluation models
  2. Dynamic testing of AI applications
  3. Observability and anomaly detection
  4. Discrete optimization (with applications in architecture search and automated prompting)

Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere.

Annual Salary

$100,000 – $125,000 USD

Responsibilities
  • Work directly with customers to adapt our core R&D for different domains.
  • Build out core infra, cloud tooling, and UX around our algorithms.
  • Ship delightful tools that are used by AI application developers all across the world.
Qualifications
  • High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
  • Strong open source presence or strong track record of software engineering projects and employment.
  • Experience with ML in an applied setting.
  • Can ramp up quickly to understand our research.
Logistics
  • Location policy: In NYC.
  • US visa sponsorship: If you are exceptional, we will sponsor.
  • Compensation and Benefits: We provide generous salary, equity, and benefits
We're Not Here to Play Games.

We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready.

Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we're backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.

We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Apply