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Internship Remote Statistical Programmer Jobs in Hackensack, NJ

YO AI Labs

AI Data Science Expert - Remote

New York, NY · Remote

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or reviewing ...

Posted today

Next Generation, Inc.

GIS Analyst/Engineer

New York, NY · On-site +1

$80 - $120/hr

This position is hybrid, with up to one remote day per week. Job Responsibilities: * Develop ... Perform geospatial and statistical analyses, integrating and transforming datasets to meet business ...

Tristero

Junior Software Engineer (Remote)

New York, NY · Remote

$80K - $130K/yr

Exposure to devops, statistics, and system architecture While helpful, we don't require you to have experience with systems-design, golang, or crypto; we're happy to hire clever engineers and support ...

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All JobsStatistical Programmer JobsInternship Remote Statistical Programmer JobsInternship Remote Statistical Programmer Jobs in Hackensack, NJ

Internship Remote Statistical Programmer information

See Hackensack, NJ salary details

$92.2K

$160.6K

$271.6K

How much do internship remote statistical programmer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for internship remote statistical programmer in Hackensack, NJ is $160,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,300.00 and $174,500.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What is the difference between Internship Remote Statistical Programmer vs Remote Data Analyst?

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What types of projects and responsibilities can I expect as a remote statistical programmer intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What are the key skills and qualifications needed to thrive as an internship remote statistical programmer?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.
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What cities near Hackensack, NJ are hiring for Internship Remote Statistical Programmer jobs? Cities near Hackensack, NJ with the most Internship Remote Statistical Programmer job openings:
Internship Remote Statistical Programmer jobs near you
Infographic showing various Internship Remote Statistical Programmer job openings in Hackensack, NJ as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $160,643 per year, or $77.2 per hour.

AI Data Science Expert - Remote

YO AI Labs

New York, NY • Remote

Part-time

Posted 18 hours ago

Posted today

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.