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Statistical Programmer Part Time Jobs in New York

Researcher (Part-time)

New York, NY ยท On-site

$26.37/hr

Description Part time Research Scholar Biomedical Engineering New York University Faculty in the ... programming skills in MATLAB, Python, or R. * Have training in statistical signal processing ...

Quantitative Trader

New York, NY ยท On-site

$125K - $250K/yr

Develop, augment and calibrate exchange simulators * Part-time work from home benefits ... Signal generation and statistical models * Programming skills in Python or C++ Anticipated New York ...

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Showing results 1-20

Statistical Programmer Part Time information

See New York salary details

$92.4K

$161.1K

$272.4K

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

As of Jun 14, 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:
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.
Statistical Programming Assistant

Statistical Programming Assistant

Claims Conference

Manhattan, NY โ€ข On-site

Full-time, Part-time

Posted 4 days ago


Job description

The Conference on Jewish Material Claims Against Germany (Claims Conference), a nonprofit organization with offices in New York, Israel, Germany and Austria, secures material compensation for Holocaust survivors around the world. Founded in 1951 by representatives of 23 major international Jewish organizations, the Claims Conference negotiates for and disburses funds to individual survivors and organizations and seeks the return of Jewish property stolen during the Holocaust. As a result of negotiations with the Claims Conference since 1952, the German government has paid more than $95 billion in indemnification to individuals for suffering and losses resulting from persecution by the Nazis. In 2025, the Claims Conference distributed approximately $530 million in compensation for survivors globally and $960 million for survivors' welfare needs such as home care, medicine and food.
We are seeking a motivated and technically skilled part-time Statistical Programming Assistant to support research, data analysis, and statistical programming on projects related to the study of Holocaust survivor demography and population research.
This part-time role focuses on statistical computing in R, data validation, research data preparation, analysis and modeling activities while working closely with senior research staff on active research projects. The position is well-suited for students or early-career professionals with formal training in statistics, biostatistics, econometrics, demography or related quantitative field in the social sciences. The work involves careful construction and cleaning of real-world datasets, implementation of statistical models, and production of reproducible research outputs in collaboration with senior research staff.
Note: This is a part-time remote role, 15 hours per week.
Responsibilities
  • Assist with data cleaning, restructuring, and validation;
  • Write and maintain R code for data preparation and applied statistical modeling;
  • Prepare datasets for modeling and analysis;
  • Create reproducible analysis workflows (R scripts, documentation, organized outputs);
  • Prepare summary tables, statistical outputs, and visualizations;
  • Assist with data extraction and wrangling from SQL-based databases.

Required Qualifications
  • Current or recent student in statistics, biostatistics, econometrics, demography, public health, quantitative social sciences, or related field;
  • Proficiency in R for statistical computing (e.g., tidyverse, modeling functions, data manipulation);
  • Coursework in regression analysis and statistical inference;
  • Experience cleaning and preparing data for analysis;
  • Strong analytical and problem-solving skills;
  • Ability to work independently and collaboratively.

Preferred Qualifications
  • Interest in Holocaust studies, Jewish studies, history, demography, or related research areas;
  • Experience with statistical modeling;
  • Comfort working with relational data and SQL queries;
  • Experience working with longitudinal or administrative data;
  • Interest in applied research and population studies.

What This Role Is
  • Applied statistical programming in a research setting
  • Hands-on work with real, complex datasets
  • Focused on inference, modeling, and careful data construction
  • Collaborative, mentored research experience

What This Role Is Not
  • A machine learning engineering position
  • A business intelligence/dashboarding role
  • A product analytics or AI development role

Application Materials
  • Resume/CV
  • Brief statement of interest
  • (Optional) Sample code, portfolio, or GitHub lin

The Claims Conference offers generous benefits, opportunities for professional growth, and competitive salaries based on geographic location. Our PT hourly rate for Data Science & Statistical Programming Assistant in the New York City market is $25. This represents Claims Conference's good faith and reasonable estimate of the range of possible compensation for this role at the time of posting. The final salary for this role will be determined based on careful consideration of a variety of factors, such as the candidate's exact location, experience in similar roles, and expertise related to the qualifications. This information is offered in support of our commitment to transparency.
I acknowledge by proceeding with my application that if employed I will abide by the Claims Conference Statement of Values which can be found at this link.
The Claims Conference is an equal opportunity employer and values diversity. We do not discriminate on the basis of any category protected by law, including (without limitation) race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.