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Sr Statistical Programmer Jobs (NOW HIRING)

The Senior Statistical Programmer Analyst I (SR SPA I) is an independent statistical programmer analyst supporting the clinical reporting production programming and verification for client regulatory ...

Edetek is seeking a highly skilled Senior Statistical Programmer to join our dynamic team. As a leader in data analytics, we are dedicated to providing innovative solutions to our clients in the ...

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 ...

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 ...

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Sr Statistical Programmer information

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$82.5K

$128.3K

$167.5K

How much do sr statistical programmer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for sr statistical programmer in the United States is $128,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $148,000.00 per year, depending on experience, location, and employer.

What are Sr Statistical Programmers?

Sr Statistical Programmers are experienced professionals who specialize in managing and analyzing complex data sets, typically in the clinical research and pharmaceutical industries. They use statistical software like SAS or R to develop and validate programs that support clinical trials, regulatory submissions, and data reporting. Their responsibilities often include ensuring data quality, creating analysis datasets, generating tables, listings, and figures, and collaborating with statisticians and data managers. Senior-level programmers also mentor junior staff and may oversee project timelines and deliverables. Their expertise is essential for turning raw clinical data into meaningful results that support drug development and regulatory decision-making.

How does a Sr Statistical Programmer typically collaborate with biostatisticians and clinical teams during a clinical trial project?

As a Sr Statistical Programmer, you will work closely with biostatisticians to translate statistical analysis plans into efficient programming code, often using SAS or R. You’ll also regularly interact with clinical data managers and project teams to clarify data requirements, resolve data discrepancies, and ensure the accuracy of deliverables. Effective communication and proactive problem-solving are key, as you may be responsible for leading programming efforts, mentoring junior programmers, and ensuring that all outputs meet regulatory and project timelines. This collaborative environment helps ensure the integrity and reproducibility of clinical trial results.

What are the key skills and qualifications needed to thrive as a Sr Statistical Programmer, and why are they important?

To thrive as a Sr Statistical Programmer, you need strong expertise in statistical programming languages like SAS or R, experience with clinical trial data, and a relevant degree in statistics, mathematics, or a related field. Proficiency with CDISC standards (SDTM, ADaM), data management systems, and regulatory submission tools is typically required. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring high data quality. These skills and qualifications are essential for accurate analyses, regulatory compliance, and successful delivery of clinical research projects.
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Senior Statistical Programmer

Senior Statistical Programmer

Katalyst HealthCares & Life Sciences

Los Angeles, CA • On-site

Other

Posted 29 days ago


Job description

Sr. Statistical Programmer

The Sr. Statistical Programmer supports the Biostatistics team in the generation and validation of analysis datasets and statistical outputs for clinical trials. This role is key to implementing programming standards and supporting the standardization of CDISC-compliant datasets (e.g., SDTM, ADaM) across clinical programs. Develop and validate SAS programs to generate analysis datasets, tables, listings, and figures (TLFs) that support clinical trial reporting, regulatory submissions, and publications. Implement and maintain standardized programming templates, macros, and tools to ensure consistency, efficiency, and compliance across clinical studies. Contribute to the creation and review of programming specifications for SDTM and ADaM like datasets based on CDISC standards and internal guidelines. Assist in programming support for data cleaning, interim analyses, medical review, and final study reports. Collaborate with statisticians, data managers, clinical team members, and external vendors to ensure timely and high-quality deliverables. Review Statistical Analysis Plans (SAP) with biostatisticians to anticipate any complications or complexities for programming activities. Perform quality control (QC) and validation of internally and externally developed datasets and outputs, adhering to company SOPs and programming best practices. Integrate data across multiple studies for pooled analyses, submission packages, or visual summaries to support regulatory filings or internal strategy. Document all programming activities clearly and thoroughly, supporting reproducibility and regulatory compliance in a validated programming environment. Use version control systems and structured documentation to support audit readiness and collaborative programming practices. Contribute to posters, presentations, or ad hoc analyses, including visual data summaries using SAS graphics or other data visualization tools. Other duties as required.

Bachelor's degree or higher in Statistics, Computer Science, Mathematics, Life Sciences, or a related discipline. 5+ years of experience in statistical programming within the pharmaceutical, biotechnology, or medical device industry. Candidate is a detail-oriented statistical programmer with a strong interest in clinical data analysis, regulatory processes (such as PMA or 510(k) submissions), and continual learning in a regulated environment. Understanding of clinical trial design, GxP principles, and FDA/EMA regulatory requirements, particularly for medical device submissions such as PMA and 510(k). Familiarity with CDISC standards (SDTM, ADaM); ability to implement standardized datasets in line with internal and industry guidelines. Strong attention to detail, problem-solving mindset, and ability to work independently or in a team environment. Effective communication skills and a collaborative approach to working with cross-functional teams.


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About Katalyst Healthcares & Life Sciences

Sourced by ZipRecruiter

Katalyst HealthCares & Life Sciences is a Global Contract Research Organization that provides services in Clinical Research, Manufacturing & Quaity, Regulatory Affairs Areas.. Industries Serving: Pharmaceutical Bio-Pharmaceutical Medical Device Cosmeceuticals & Cosmetics Food & Beverage Clinical Research Scientific Areas Covering: Clinical Research Manufacturing Quality & Validations Regulatory Affairs Intellectual Property Through our in-house team expertise, associates and alliances in the US, Europe and Asia, we can rapidly deliver services, technology, processes and workforce globally, either virtually or integrate into client project space, providing oversight and expertise for individual needs to total end-to-end support for all kinds of clinical trials of Pharma, Biotech, Medical Device and all other scientific products and their manufacturing.

Industry

Scientific research and development services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

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