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Internship Remote Statistical Programmer Jobs in Hackensack, NJ

Blockchain, Data Analytics (Remote)

New York, NY ยท On-site +1

$80K - $150K/yr

... the engineering skills to build and maintain the infrastructure behind those analyses. This is a ... Develop statistical models and data science solutions while also implementing the infrastructure to ...

Machine Learning Engineer

New York, NY ยท Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

Data Scientist

New York, NY ยท On-site +1

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a ... Advanced proficiency in Python and R for statistical programming and model development. * Strong ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

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Quant Finance Career Coach

New York, NY ยท Remote

$40 - $50/hr

Probability * Statistics * Linear Algebra * Optimization * Stochastic Processes Programming ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

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Quant Finance Career Coach

New York, NY ยท Remote

$40 - $50/hr

Probability * Statistics * Linear Algebra * Optimization * Stochastic Processes Programming ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

Lead Data Analyst

New York, NY ยท On-site +1

$130K - $140K/yr

Advanced skills in SQL and statistical programming (Python or R). Must have experience building and ... A remote and accomplished global team * Opportunity for equity participation * Unlimited vacation ...

GIS Analyst/Engineer

New York, NY ยท 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 ...

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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This is a flexible internship lasting anywhere from 2 to 12 months, either part-time or full-time, ... The position is primarily remote, with potential opportunities to collaborate with the founding ...

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This is a flexible internship lasting anywhere from 2 to 12 months, either part-time or full-time, ... The position is primarily remote, with potential opportunities to collaborate with the founding ...

Founding Support Engineer

New York, NY ยท On-site +1

$180K/yr

Location: New York, NY (remote-friendly; SF or NYC preferred) Work Model: Hybrid / flexible ... Strong computer science or statistics foundation and academic pedigree * Startup or consulting ...

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This is a flexible internship lasting anywhere from 2 to 12 months, either part-time or full-time, ... The position is primarily remote, with potential opportunities to collaborate with the founding ...

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Showing results 1-20

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 Jul 18, 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 programming 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, and why are they important?

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.
What are popular job titles related to Internship Remote Statistical Programmer jobs in Hackensack, NJ? For Internship Remote Statistical Programmer jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Internship Remote Statistical Programmer jobs in Hackensack, NJ look for? The top searched job categories for Internship Remote Statistical Programmer jobs in Hackensack, NJ are:
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:

Blockchain, Data Analytics (Remote)

Serotonin

New York, NY โ€ข On-site, Remote

$80K - $150K/yr

Full-time

Medical, Retirement

Posted 17 days ago


Job description

Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, on-chain infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth.
About the Role
We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.
Responsibilities
  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
  • Create self-serve analytics tools and datasets that empower stakeholders across the organization
  • Design experiments and perform statistical analyses to measure product and marketing initiatives
  • Build data models in our warehouse that balance analytical flexibility with performance
  • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
  • Own the full lifecycle of data products - from initial exploration to production deployment

Requirements: Core Technical Skills
  • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
  • Proven ability to design and manage ETL pipelines and database architectures
  • Advanced SQL skills and high proficiency in Python for both data analysis and engineering
  • Understanding of data modeling principles (Kimball, Data Vault, or similar)
  • Experience with cloud data platforms (AWS, GCP, or Azure)

Requirements: Analytical & Data Science Expertise
  • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
  • Experience with A/B testing, causal inference, and experimental design
  • Ability to communicate complex findings to non-technical stakeholders
  • Track record of using data to influence business strategy

Requirements: Blockchain & Web3 Experience
  • Hands-on experience with blockchain data extraction, transformation, and analysis
  • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
  • Ability to work with on-chain data to derive actionable insights

Bonus Points
  • Experience with marketing analytics and attribution modeling
  • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
  • Previous experience in data roles within blockchain/Web3 organizations
  • Experience with data visualization tools (Tableau, Looker, or similar)

This position is ideal for someone who...
  • Gets excited about both building robust data infrastructure AND discovering insights
  • Wants ownership over the entire data value chain
  • Thrives in environments where they can wear multiple hats
  • Values being able to see their analyses through to production impact

Benefits
  • Competitive Salary
  • Health Insurance - (US Only)
  • 401(k) - (US Only)
  • Remote Work Environment
  • Maternity/Paternity Leave

$80,000 - $150,000 a year
The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.