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Internship Remote Statistical Programmer Jobs in Hackensack, NJ

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or ...

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ...

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 ...

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 ...

Showing results 21-40

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.
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 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:
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.

GIS Analyst/Engineer (Remote)

Next Generation Inc

New York, NY โ€ข Remote

$80 - $120/hr

Full-time

Re-posted 25 days ago


Job description

Job Title: GIS Analyst / Specialist / Engineer

Job Summary:

Next Generation, Inc., an Equal Opportunity Employer, is seeking an experienced GIS Analyst/Specialist/Engineer to support our client's Enterprise Asset Management Value Realization Department. The role will provide technical and analytical support for GIS-driven asset management initiatives, data quality improvements, and rail engineering projects. This position is hybrid, with up to one remote day per week.

Job Responsibilities:

  • Develop, configure, and support custom GIS applications and tools for asset management and transportation systems.
  • Perform geospatial and statistical analyses, integrating and transforming datasets to meet business needs.
  • Design, test, and maintain ESRI GIS environments (ArcGIS Enterprise, Portal, Server, Desktop, ArcPro, Experience Builder, Survey123 Connect).
  • Write and optimize code in Python and SQL for data management, analytics, and automation.
  • Create and maintain reports and dashboards (Power BI, Tableau, GIS Maps) to visualize insights and KPIs.
  • Ensure accuracy, documentation, and reproducibility of all GIS deliverables.
  • Collaborate with business and technical stakeholders to translate analytical results into actionable recommendations.
  • Stay current with emerging GIS technologies, programming languages, and spatial analysis methods.

Key Requirements:

  • 510 years of custom GIS development and asset management experience.
  • Minimum 5 years of hands-on experience with ESRI GIS software, ArcGIS Enterprise/Portal/Server/Desktop, HeXagon, Microsoft Dynamics, SQL, and Python.
  • Preferably 2+ years supporting railroad or transit industry projects.
  • Strong programming and analytical skills (Python, SQL, R, or Java).
  • Expertise in database design, data quality control, and spatial analytics.
  • Experience with visualization and BI tools (Power BI, Tableau, Excel).
  • Familiarity with transportation and transit systems, preferably large-scale networks.
  • Knowledge of KPI creation, data modeling, and reporting automation.
  • Excellent communication and documentation abilities.
  • Strong problem-solving, prioritization, and project management skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Bachelor's degree in Engineering, Information Management, Statistics, Mathematics, or Transportation/Civil Engineering (Master's preferred).

Job Benefits:

Competitive hourly rate range of $80 to $120 an hour based on experience and education