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Statistical Programmer Jobs (NOW HIRING)

Diverse Lynx

Statistical Programmer

Edison, NJ · On-site

Statistical Programmer Fulltime position available in Edison, NJ - Hybrid. Requires 10 - 25 years of experience. Must have technical/functional skills in good programming, SAS, R, and regulatory ...

New

Cytel

Principal Statistical Programmer FSP

Principal Statistical Programmer Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client ...

New

Rho

Senior Statistical Programmer

Durham, NC · On-site

As a Senior Statistical Programmer, you'll have the opportunity to design and write program specifications for CDISC conversions, revise programs for corrections, independently create agency-accepted ...

New

Rho Inc

Senior Statistical Programmer

As a Senior Statistical Programmer, you'll have the opportunity to design and write program specifications for CDISC conversions, revise programs for corrections, independently create agency-accepted ...

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track progress, and provide expert technical support to team members. In addition, the Principal ...

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How much do statistical programmer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for statistical programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are statistical programmers?

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.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory reporting are critical. Skills in SAS, along with knowledge of data management and statistical analysis, increase employability, especially for roles requiring compliance with industry standards. The demand for SAS programmers remains steady due to ongoing needs for data-driven decision-making and regulatory submissions.

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 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.

How much does a statistical programmer earn?

The average salary for a statistical programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in SAS, R, or Python may earn higher compensation, often exceeding $120,000 per year.

What is SAS developer salary?

The salary for a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS programmers with certifications and knowledge of data management tools often earn higher salaries, especially in pharmaceutical, healthcare, and finance sectors.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions, working closely with statisticians and data managers in a regulated environment.

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 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 the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Principal Statistical Programmer

Katalyst Healthcares and Life Sciences

Edison, NJ • On-site

Other

Posted 2 days ago

Job description

Responsibilities:
  • Convert specifications into SAS code to generate datasets and Tables, Listings, and Figures outputs.
  • Be responsible for overall project delivery, including clinical trial reports and other regulatory submission deliverables.
  • Create statistical analysis outputs to be used in support of final reports, abstracts, posters, Manu scripts and other clinical publications; support systems to produce electronic regulatory submissions.
  • ssist in establishing standardized programming procedures and work instructions.
  • Develop, enhance, evaluate, and validate standardized macros and utility programs to ensure that regulatory requirements are met through validation/compliance activities.
  • Develop and maintain clinical processing workflow systems.
  • ssist in the development of client proposal documents.
  • Provide leadership, project specific training, stakeholder management, external sponsor support, resource management, and project management for the required programming tasks supporting clinical trial activities.
  • Provide input into and negotiate statistical programming timelines. Ensure that timelines are adhered to and coordinate and lead a statistical programming team to successful completion of a study within given timelines and budgets.
  • Trained in sponsor SOPs and disseminate knowledge to project team members as appropriate.
  • Provide input into, and mentor statistical programmers to provide input into documents produced by other functions (e.g., biostatisticians, data managers, medical writers, etc.)
  • records handling (e.g., Chapter 21 of the US Code of Federal Regulation - Part 11), and electronic submission of clinical data to agencies (e.g., e-CTD guidance and CDISC SDTM and ADaM standards)
  • ssist in updating/writing PROMETRIKA standard operating procedures (SOPs)
  • Develop tools in SAS® for data analysis and reporting that comply with regulatory requirements.
  • Develop specifications (e.g., metadata files), annotate CRFs and create SAS® programs for the mapping of raw datasets to CDISC SDTM standards.
  • Create define.xml files from metadata files for SDTM and ADaM
  • Convert data received in other formats to SAS® datasets.
Requirements:
  • Must have expertise in SAS/BASE, SAS/STAT, and knowledge of SAS/CONNECT, SAS/ACCESS, SAS/MACRO, SAS/GRAPH, SQL, and ODS
  • Knowledge of SDTM, ADaM, FDA and ICH guidance
  • Understanding of Code of Federal Regulations (CFR) Title 21, Part 11 that covers the management of electronic records and electronic signatures in computer systems.
  • Good organizational skills across individual projects and managing own and teamwork loads. Ability to organize, manage and complete multiple assignments with challenging timelines independently and effectively.
  • Consistent experience as a lead statistical programmer on several concurrent projects
  • Strong understanding of drug development, including knowledge of interfaces and interdependencies with other functions
  • Strong mentoring skills as shown by leadership of projects and if applicable, junior team members.
  • Excellent analytical skills
  • Proven ability to learn new systems and function in an evolving technical environment.
  • bility to negotiate and influence to achieve results.
  • Good presentation skills
  • Good business awareness/business development skills (including financial awareness)
  • bility to create, maintain and define strategies to improve the efficiency of running a clinical trial.
  • Work effectively in a quality-focused environment.
  • Knowledge of other programming languages and database management software packages is a plus.

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