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Statistical Programmer Jobs in Seattle, WA (NOW HIRING)

Exponent is a premium engineering and scientific consulting firm that addresses unique challenges through multidisciplinary expertise. The Statistical Scientist will work within the Data Sciences ...

About Exponent Exponent is the only premium engineering and scientific consulting firm with the ... Key statistics: * 950+ Consultants * 640+ Ph.D.s * 90+ Disciplines * 30+ Offices globally Our ...

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

Business Intelligence Engineer III

Seattle, WA · On-site

$58 - $75.50/hr

... retention • Statistical testing of A/B and multivariate experiments • Design, build and ... programming, and marketing • Excellent communication skills, equally adept at working with ...

New

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

... Statistics, Engineering, Applied Mathematics, or a related quantitative field (or equivalent experience) • A minimum of 2 years of software development experience. (or equivalent experience ...

New

Experience with statistical programming such as SAS, R, Python. * Experience with CDISC and CDASH standards. * Strong knowledge and experience in clinical trial design and data analysis, with ability ...

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Statistical Programmer information

See Seattle, WA salary details

$96.2K

$167.6K

$283.4K

How much do statistical programmer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for statistical programmer in Seattle, WA is $167,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,300.00 and $182,100.00 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.

What are the most commonly searched types of Statistical Programmer jobs in Seattle, WA? The most popular types of Statistical Programmer jobs in Seattle, WA are:
What are popular job titles related to Statistical Programmer jobs in Seattle, WA? For Statistical Programmer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Seattle, WA look for? The top searched job categories for Statistical Programmer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Statistical Programmer jobs? Cities near Seattle, WA with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Seattle, WA as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $167,622 per year, or $80.6 per hour.
Associate Director, Clinical and Statistical Programming

Associate Director, Clinical and Statistical Programming

Umoja Biopharma

Seattle, WA

$185K - $228K/yr

Other

Posted 26 days ago


Job description

POSITION SUMMARY

The Associate Director, Statistical Programming will be responsible for strategic planning, executing and quality checking of data programming and statistical analysis deliverables to support clinical trial conduction and prepare submission readiness package. This role provides technical and operational leadership to ensure compliant, high-quality analysis datasets, tables, listings, and figures (TLFs) in accordance with CDISC standards and FDA guidance. This role will operate as an individual contributor and is responsible for enhancing the statistical programming infrastructure of the Biometric department, building and leading a highly efficient data and matrixed statistical programming team (contractors, vendors, CROs, FTEs) over time.

This role will partner closely with Biostatistics, Clinical Data Management, Clinical Operations, and Regulatory Affairs to support submission readiness and successful regulatory interactions.

This role will ideally be based out of our Seattle, WA location and work onsite at least 2 days/week. We are open to remote within the US for the right candidate.

CORE ACCOUNTABILITIES

Specific responsibilities include:  

  • Lead statistical programming activities for clinical trials and ensure the timely delivery of high-quality outputs throughout the full study life cycle.
  • Review clinical trial protocols, SAP, CRF designs, and EDC deployments, and provide input for EDC edit checks to enhance clinical trial data quality.
  • Guide and review outputs from CROs, which may encompass submission datasets, programs, and outputs to ensure the submission package (SDTM and ADaM specifications, SDTM and ADaM programs and datasets, Tables, Listings, and Figures (TLFs) outputs, define.xml, and reviewer guides, etc.)  adheres to regulatory requirements and is compliant with CDISC standards.
  • Lead and support statistical programming activities for regulatory submissions including INDs, NDAs, and/or BLAs.
  • Review data management plans, data transfer plans, and test EDC deployment to ensure readiness for downstream programming.
  • Provide hands-on SAS programming support for key safety and efficacy analyses of clinical trials, as well as ad hoc exploratory and publication analyses as required.
  • Mentor and provide technical oversight to statistical and data programmers and contractors.
  • Collaborate closely with biostatisticians, study physicians, data management, clinical operations, and safety review teams to review data or programming issues and improve the overall quality of clinical trial data.
  • Support internal and external audits, inspections, and regulatory inquiries related to statistical programming deliverables.
  • Assist the department head in building the infrastructure of the biometrics department, which may include creating macros and programs, TLF shells, departmental SOPs, and best practices for statistical programming and data traceability.

The successful candidate will have:

  • MS in biostatistics, statistics, computer science, or a closely related field, coupled with extensive quantitative analysis methodologies and statistical programming proficiency with a minimum of 10 years of experience in pharmaceutical companies or CROs is required.
  • At least 5 years of demonstrated leadership experience in projects and managing, mentoring, and developing teams.
  • A solid comprehension of statistical programming principles, advanced SAS programming expertise, extensive experience in the preparation of regulatory submission packages, and substantial knowledge of CDISC standards.
  • Exceptional attention to detail and a strong risk-mitigation mindset, a self-driven learner to continuous learning and updating programming skills and therapeutic area (TA) knowledge.
  • Excellent verbal, written, and interpersonal communication skills are mandatory for clear and efficient communication and collaboration with cross-functional teams, which may include clinical operations, data management, study physicians, statisticians, and medical writers.
  • A sound working knowledge of ICH, FDA, and GCP regulations and guidelines.

Preferred Qualifications:  

  • Prior experience with NDA/ BLA submission and interaction with regulatory agencies is highly desirable, as is leading early and late-phase clinical trials.
  • Experience in immunology, hematology, or oncology clinical trials is preferred
  • Experience with using R in clinical analysis

Physical Requirements:  

  • Ability to sit for prolonged periods of time
  • Ability to read, interpret, and review detailed technical documents, datasets, tables, listings, figures, and onscreen material
  • This role will ideally be based out of our Seattle, WA office and will be onsite 2 days/week
  • If this role is remote, the ability to travel up to 20% as needed

Salary Range: $185,100 - $228,700