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Statistics Programmer Jobs in New York (NOW HIRING)

2T Consulting

Senior Statistical Analyst

Woodside, NY · On-site

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

Collabera

SAS Programmer

Jersey City, NJ · On-site

The role of the Senior Statistical Programmer is to perform statistical programming activities for all assigned Phase I-IV clinical studies. This position performs statistical programming for ...

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Statistics Programmer information

What is a statistics programmer?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do statistics programmers collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

What are the key skills and qualifications needed to thrive as a statistics programmer?

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in New York? For Statistics Programmer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Statistics Programmer jobs in New York look for? The top searched job categories for Statistics Programmer jobs in New York are:
What cities in New York are hiring for Statistics Programmer jobs? Cities in New York with the most Statistics Programmer job openings:
Statistics Programmer jobs near you
Infographic showing various Statistics Programmer job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Senior Statistical Analyst

2T Consulting

Woodside, NY • On-site

Full-time

Posted 2 days ago

New

Job description

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians and cross-functional teams to develop ADaM datasets, generate TLFs, support regulatory submissions, and ensure high-quality statistical programming deliverables for clinical studies.

Primary Responsibilities

*Collaborate with statisticians to develop and implement Statistical Programming Plans (SPPs) and Statistical Analysis Plans (SAPs).
*Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R.
*Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.
*Create and maintain programming documentation, including specifications, annotated code, validation plans, and programming guidelines.
*Perform quality control and validation of statistical programming outputs to ensure compliance with CDISC standards and regulatory requirements.
*Support ad hoc statistical analyses, exploratory data analyses, and data visualization requests.
*Develop and maintain reusable programming macros, utilities, and automation tools to improve efficiency and consistency.
*Provide programming support during regulatory submissions, audits, and inspections.
*Collaborate with study teams to resolve programming and data-related issues while ensuring timely project delivery.
*Identify project risks, escalate issues when necessary, and provide regular status updates.
*Mentor and train junior programmers and contribute to continuous process improvement initiatives.
*Stay current with industry best practices, regulatory guidelines, and advancements in statistical programming.

Required Skills & Qualifications

*Strong proficiency in SAS and R programming for clinical trial data analysis.
*Experience programming and validating ADaM datasets, TLFs, and statistical analyses.
*Advanced knowledge of CDISC standards, including ADaM and SDTM.
*Solid understanding of clinical trial processes, statistical methodologies, and regulatory requirements.
*Experience in therapeutic areas such as Oncology, Immunology, Neuroscience, or other clinical domains.
*Strong analytical, troubleshooting, and problem-solving skills.
*Excellent attention to detail with a strong focus on quality and compliance.
*Effective written and verbal communication skills.
*Ability to collaborate with statisticians, clinical study teams, and external stakeholders.
*Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

Preferred Qualifications

*Experience supporting global clinical trials and regulatory submissions.
*Knowledge of clinical data visualization and exploratory data analysis.
*Experience developing standardized SAS macros and programming utilities.
*Prior experience mentoring or leading statistical programming teams.
*Familiarity with FDA, EMA, and ICH regulatory guidelines for clinical data submissions.

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