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Statistical Programmer Part Time Jobs in New York

New York University

Researcher (Part-time)

New York, NY · 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 ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

... or Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well versed in knowledge of creating algorithms, identifying patterns and ...

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Statistical Programmer Part Time information

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$92.4K

$161.1K

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

As of Aug 24, 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 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 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 August 2026, with employment types broken down into 1% Internship, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $161,142 per year, or $77.5 per hour.

Remote Biostatistics Consultant - Oncology Program

Newark, NJ • Remote

Globalchannelmanagement
See more jobs at Globalchannelmanagementexternal

Part-time

Posted 3 days ago

New

Job description

Position Overview

We are seeking a highly skilled Biostatistics Consultant to support critical statistical deliverables within our oncology program (SMPA). In this role, you will serve as the primary biostatistician for assigned clinical studies, driving closeout activities, validating data quality, and ensuring all statistical outputs are scientifically rigorous and publication-ready.

You will work at the intersection of clinical data and medical communications, collaborating closely with the Medical Strategy Lead and Publications Specialist to turn complex clinical trial data into high-impact, accurate scientific content

Engagement & Capacity Logistics

This is a part-time consulting engagement designed to scale alongside our trial closeout and publication milestones:

Months 1–3: Approximately 10 to 15 hours per week to support peak closeout and analysis validation activities.

Remaining Term: Scales back to 5 to 10 hours per week for ongoing publication support and targeted statistical advisory until the engagement ends.

What We're Looking For (Required & Elite Qualifications)

To land this role and help us maintain an exceptionally high bar for scientific validity, you must possess the following elite skills and background:

Professional Experience: A minimum of 3 years of post-PhD experience or 5 years of post-MS experience directly managing and executing statistical analyses within clinical trials.

Oncology Expertise: Deep, in-depth knowledge of statistical principles, up-to-date methodologies, and complex design rules explicitly applied within oncology clinical trials.

Advanced Statistical Modeling: Direct, hands-on experience utilizing Bayesian modeling and analysis alongside traditional frequentist statistical frameworks.

Software Mastery: Expert-level proficiency in statistical programming languages, specifically SAS and R, with a proven ability to independently guide, validate, and troubleshoot automated analyses.

CDISC Data Standards: Comprehensive experience working with and overseeing global clinical data standards, specifically CDISC SDTM and ADaM, including the meticulous development and quality control of data specifications.

Communication & Influence: Elite written and verbal communication skills, with a demonstrable ability to clearly explain complex statistical designs, decision rules, and analysis plans to cross-functional medical teams.

Education: A PhD or Master's degree (MS) in Statistics or Biostatistics

What You'll Do

Lead Statistical Deliverables: Serve as the primary biostatistician for oncology clinical trials, managing study closeout activities, reviewing, validating, and executing complex statistical analyses.

Technical Guidance & Programming QC: Partner with and guide statistical programmers on developing SDTM/ADaM datasets and crafting comprehensive TLF (Tables, Listings, and Figures) specifications. Perform stringent quality control checks on all programming efforts.

Scientific Publication Support: Interpret complex statistical results and contribute directly to statistical methodologies, text, and data structures for scientific abstracts, posters, and manuscripts.

Cross-Functional Communication: Work closely with the Medical Strategy lead and publications specialists to address publication-related statistical questions. Clear up statistical ambiguity and present complex concepts plainly to both technical and non-technical stakeholders.

Rigorous Quality Control: Ensure the utmost accuracy and data integrity across all data-driven insights, keeping analysis metrics strictly aligned with clinical trial protocols and compliance requirements.