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Statistical Programmer Jobs in Princeton, NJ (NOW HIRING)

Ra

Marketing Analytics Manager

New York, NY

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

micro1 AI

Director of Biostatistics

New York, NY · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Rutgers University

Research Programmer

Piscataway, NJ · On-site

$120K - $130K/yr

Proficiency in advanced statistical techniques and probability theory • GPU Programming: Experience with GPU programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL ...

Datadog

Manager I, Engineering - Experiments

New York, NY · On-site

$192K - $240K/yr

Our statistics engineers hold PhDs and are pushing the boundaries of what an experimentation platform can do. Our full-stack engineers move fast, lean on the latest AI tooling, and prototype and ship ...

TechData Service Company LLC

Be Seen First

Biostatistician

Basking Ridge, NJ · Remote

$100K - $230K/yr

Good knowledge of statistical programming languages (including SAS, R); * Solid oncology and/or hematology experience * Experience with advanced study design or at least one NDA/BLA eCTDs or other ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Princeton, NJ

Statistical Programmer information

See Princeton, NJ salary details

$88.6K

$154.4K

$261K

How much do statistical programmer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for statistical programmer in Princeton, NJ is $154,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $167,700.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are the key skills and qualifications needed to thrive as a statistical programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Princeton, NJ as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $154,401 per year, or $74.2 per hour.

Contractor, Biostatistician

Syndax Pharmaceuticals

New York, NY • On-site

Full-time

Re-posted 13 days ago

Job description

Position Description:
We are seeking an experienced Contractor, Biostatistician to support Clinical Development and Medical Affairs. The role will support data analysis strategy and execution including publication based on clinical trials, external comparator analyses, and evidence generation strategies to support post-marketing, payer, and hypothesis generation analysis. This role will also provide statistical consultation to the analysis of real-world data. This position requires close collaboration with cross-functional teams including Clinical Development, Medical, HEOR, and Commercial.
Responsibilities and Duties:
  • Partner with medical for publication strategies
  • Provide statistical expertise in analyses using external control and/or synthetic control, meta-analyses, and causal inference analyses, e.g. propensity score matching method
  • Contribute to manuscripts, abstracts and presentations
  • Write and/or review statistical analysis plans
  • Work with statistical programmers to conduct ad hoc analyses; Conduct quality review of statistical analyses
  • Perform statistical programming for advanced statistical methodologies and help statistical programmers QC their programs
  • Develop TLF shells and review programming specs
  • Review protocols for real world evidence studies
  • Review relevant medical literature

Minimum Requirements:
Experience:
  • S., Biostatistics or Ph.D. in Biostatistics or equivalent with at least 5 years of pharmaceutical, biotechnology, or equivalent experience.

Other:
  • Good understanding of meta-analyses and causal inference methodologies
  • Prior experience working with medical affairs and commercial
  • Strong statistical reasoning and problem-solving
  • Ability to communicate complex methods to non-statistical stakeholders
  • High attention to data quality and methodological rigor
  • Ability to work independently in a fast-paced, cross-functional environment
  • Understand good clinical practice guidelines
  • Good statistical programming skills using relevant statistical software
  • Familiarity with regulatory guidance on RWE and HTA requirements
  • Oncology experience preferred

Location: Syndax's corporate office is in New York, NY.
This is a remote opportunity.
About Syndax:
Syndax Pharmaceuticals is a commercial-stage biopharmaceutical company advancing innovative cancer therapies. Highlights of the Company's pipeline include a menin inhibitor for R/R acute leukemia and a monoclonal antibody that blocks the CSF-1 receptor for chronic graft-versus-host disease. Fueled by our commitment to reimagining cancer care, Syndax is working to unlock the full potential of its pipeline and is conducting several clinical trials across the continuum of treatment. For more information, please visit www.syndax.com/ or follow the Company on X and LinkedIn.
Syndax Pharmaceuticals is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
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