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Sr Statistical Programmer Jobs (NOW HIRING)

As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are ...

Sr SAS & R Programmer onsite in the Chesterbrook, PA area 3 days/week SUMMARY The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development ...

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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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Sr. Statistical Programmer

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Posted 9 days ago


Job description

Statistical Programming Lead

Lead the development, validation, and documentation of CDISC-compliant SDTM and ADaM datasets for CNS clinical trials, ensuring traceability from raw data through analysis outputs.

Program and QC tables, listings, and figures (TLFs) for interim and final clinical study reports, regulatory submissions, and client deliverables.

Interpret study protocols, SAPs, and data standards to translate clinical objectives into analysis-ready datasets and outputs.

Act as primary programming contact for assigned studies, collaborating closely with statisticians, data managers, and medical writers in a fully remote, fast-paced environment.

Conduct independent QC and peer review of programming deliverables, ensuring accuracy, compliance, and reproducibility of results.

Develop and maintain study-specific programming specifications, documentation, and macros to streamline programming efficiency.

Support regulatory submission readiness, including define.xml, reviewer's guides, and response to agency questions.

Proactively identify and resolve data or programming issues that may impact timelines or analysis accuracy.

Mentor and support junior programmers, fostering quality, consistency, and CDISC best practices across projects.

Contribute to process improvement initiatives and template development for a growing statistical programming team.

Bachelor's or master's degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related scientific discipline; or a combination of education, training and experience to effectively perform the job functions.

5+ years of statistical programming experience within the pharmaceutical, biotech, or CRO industry, preferably with prior experience in CNS trials.

Experience leading programming efforts for clinical trials, including dataset development, TLF production, and QC oversight.

Advanced proficiency in SAS, with hands-on experience using CDISC SDTM and ADaM standards.

Experience with R or Python for data manipulation, automation, or reporting is highly valued, though not required.

Experience with regulatory submissions and standards, including Pinnacle 21, define.xml, and reviewer's guides.

Experience working in a remote, team-based environment and comfortable with virtual collaboration tools.

Excellent written and verbal communication skills, and able to explain technical concepts to non-programmers and cross-functional stakeholders.

Strong interpersonal and teamwork skills, with a collaborative mindset and the ability to work independently and prioritize across multiple projects.

High attention to detail, with a focus on quality, reproducibility, and traceability in all deliverables (analysis datasets and output).

Demonstrated ability to follow standard operating procedures (SOPs), adhere to project timelines, and contribute to continuous improvement of programming processes.

Proactive problem-solver and critical thinker with a willingness to adapt and thrive in a growing, fast-paced CRO environment.

Able to manage multi-tasks and priorities in a fast-paced, dynamic environment with shifting timelines and evolving sponsor needs.

Able to make complex programming and data-related decisions independently.

Able to anticipate analytical needs, understand downstream impacts of programming decisions, and proactively identify gaps in data and specifications

Comfortable working across functional teams (e.g., clinical, data management, biostatistics, medical writing) and shifting between strategic and tactical tasks quickly.

Must demonstrate flexibility and adaptability — able to pivot between tasks, troubleshoot issues efficiently, and take initiative in a small, collaborative team setting


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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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