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Statistical Programmer Part Time Jobs in Woodbridge, NJ

New York University

Research Scholar

New York, NY · On-site

$26.37/hr

Description PART TIME RESEARCH SCHOLAR New York University Tandon School of Engineering The ... statistical data analysis with R and Python. Candidates will also publish the results at leading ...

Stevens

Part-Time Research Assistant

Hoboken, NJ · On-site

$30 - $35/hr

D. in a relevant engineering or closely related discipline, or equivalent combination of education ... statistics mandated by the Clery Act. Click here for a copy of this report.

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All JobsStatistical Programmer JobsStatistical Programmer Part Time JobsStatistical Programmer Part Time Jobs in Woodbridge, NJ

Statistical Programmer Part Time information

See Woodbridge, NJ salary details

$85.3K

$148.7K

$251.4K

How much do statistical programmer part time jobs pay per year?

As of Sep 5, 2026, the average yearly pay for statistical programmer part time in Woodbridge, NJ is $148,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $161,500.00 per year, depending on experience, location, and employer.

What is a statistical programmer part time?

Statistical Programmers (Part Time) are professionals who use specialized software, such as SAS, R, or Python, to manage, analyze, and report on data, often in fields like healthcare, pharmaceuticals, or research. Working part-time, they may assist with data cleaning, creating statistical reports, or supporting clinical trials, depending on the employer. Their work ensures that large and complex datasets are accurately processed and results are clearly communicated to stakeholders, even while working fewer hours than full-time staff.

What are the key skills and qualifications needed to thrive as a statistical programmer part time?

To thrive as a Statistical Programmer Part Time, you need a solid foundation in statistics, programming (often SAS, R, or Python), and a relevant degree such as statistics, mathematics, or computer science. Familiarity with statistical software, data management tools, and regulatory compliance standards like CDISC is typically required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish candidates in this role. These skills ensure accurate data analysis, regulatory adherence, and clear reporting, which are crucial for supporting research and business decisions.

What are some common challenges faced by part-time statistical programmers, and how can they be managed?

Part-time statistical programmers often encounter challenges related to balancing workload and managing project deadlines, as they may have limited hours compared to full-time team members. Effective communication with supervisors and colleagues is crucial to ensure expectations are clear and tasks are prioritized appropriately. Additionally, staying updated with evolving statistical software and regulatory requirements can be demanding, so leveraging online training resources and regular team check-ins can help maintain productivity and professional growth.

What are the most commonly searched types of Statistical Programmer jobs in Woodbridge, NJ?

The most popular types of Statistical Programmer jobs in Woodbridge, NJ are:

Statistical Programmer Part Time jobs near you
Infographic showing various Statistical Programmer Part Time job openings in Woodbridge, NJ as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $148,712 per year, or $71.5 per hour.

Adjunct Lecturer, Fundamentals of Data Engineering (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Re-posted 29 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
Columbia University's Master's in Applied Analytics program seeks experienced industry professionals to serve as a part-time Lecturer for a graduate-level course in Managing Data.
The Fundamentals of Data Engineering course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes, and organizational prerequisites needed to overcome challenges to ensure data quality.
Responsibilities
  • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.
  • Monitor and address student concerns and inquiries.
  • Evaluate, grade student work and assessments.
  • Conduct office hours.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Doctoral degree or equivalent required, in an area related to data science, statistics, computer science, or another discipline that provided rigorous training in quantitative analytics.
  • Knowledge of databases, topics in Big Data, and Data Analysis.
  • Knowledge of SQL and NoSQL databases.
  • Knowledge of Python and Spark.
  • 10+ years of related applied professional experience.

Preferred Skills & Experience
  • Knowledge of MapReduce strongly desired.
  • Other software or programming languages like R and Tableau.
  • Statistical and Machine learning knowledge.
  • University teaching experience.

Additional Information
Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

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