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Statistical Programmer Part Time Jobs in New York

MTA Headquarters

Manager, HR Data Engineer

New York, NY · Hybrid

$110K - $123K/yr

People Department WORK LOCATION: 2 Broadway FULL/PART-TIME FULL SALARY RANGE: $110,000 - $123,000 ... Bachelor's degree in Computer Science, Information Management, Statistics, or Finance or related ...

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Statistical Programmer Part Time information

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$92.4K

$161.1K

$272.4K

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

As of Jun 15, 2026, the average yearly pay for statistical programmer part time in New York is $161,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,800.00 and $175,000.00 per year, depending on experience, location, and employer.

What are Statistical Programmers (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.

Will AI replace SAS programmers?

AI tools can automate some tasks performed by SAS programmers, such as data processing and basic analysis, but they are unlikely to fully replace skilled professionals. SAS programmers with expertise in complex statistical analysis, programming, and interpreting results will continue to be valuable, especially as AI tools often require human oversight and domain knowledge.

How hard is it to get a job at SAS?

Securing a part-time statistical programmer position at SAS typically requires relevant skills in SAS programming, data analysis, and familiarity with statistical methods. Candidates often need a strong educational background in a related field and may face competitive application processes, but prior experience and certifications can improve chances.

Can you work part-time as a programmer?

Yes, many programming roles, including statistical programming, can be offered on a part-time basis. Part-time programming jobs typically require fewer hours per week and may involve remote work, flexible schedules, and specific skill sets such as proficiency in SAS, R, or Python. Availability depends on the employer and the specific job requirements.

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.

Is SAS programming in demand?

SAS programming is in high demand in industries such as healthcare, pharmaceuticals, and finance, where data analysis and regulatory reporting are critical. Skilled SAS programmers with knowledge of data management and statistical analysis tools are often sought after, especially for roles involving clinical trials and regulatory compliance.

What are the key skills and qualifications needed to thrive as a Statistical Programmer Part Time, and why are they important?

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 the most commonly searched types of Statistical Programmer jobs in New York? The most popular types of Statistical Programmer jobs in New York are:
What are popular job titles related to Statistical Programmer Part Time jobs in New York? For Statistical Programmer Part Time jobs in New York, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer Part Time jobs in New York look for? The top searched job categories for Statistical Programmer Part Time jobs in New York are:
Statistical Programmer Part Time jobs near you
Infographic showing various Statistical Programmer Part Time job openings in New York as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $161,142 per year, or $77.5 per hour.
Adjunct Lecturer, Fundamentals of Data Engineering (On-Campus, Fall '26)

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

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Posted 7 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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