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Statistical Programmer Jobs in Seattle, WA (NOW HIRING)

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

The Statistical Programmer will support statistical programming activities for clinical trials, including generating SDTM/ADaM datasets, tables, figures, and listings (TFLs). This role is ideal for ...

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

The Statistical Programmer will support statistical programming activities for clinical trials, including generating SDTM/ADaM datasets, tables, figures, and listings (TFLs). This role is ideal for ...

Statistical Programmer III/IV

Seattle, WA · On-site

$99.49 - $157.23/hr

Statistical Programmer III/IV This position can be offered fully remote. Responsibilities May include some or all of the following: * Gather and document requirements for developing or modifying ...

New

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 a premium engineering and scientific consulting firm that helps clients solve unique technical challenges. Our Opportunity We are seeking a Statistical Scientist for our ...

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 ...

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 ...

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Showing results 1-20

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 Aug 20, 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 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.

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 August 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $167,622 per year, or $80.6 per hour.

Statistical Programmer

SystImmune, Inc

Redmond, WA • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.
The Statistical Programmer will support statistical programming activities for clinical trials, including generating SDTM/ADaM datasets, tables, figures, and listings (TFLs). This role is ideal for someone early in their career who is eager to learn and grow in a fast-paced biotech environment with exposure to end-to-end clinical development.
This position is full-time onsite at our Redmond, WA location and we will be moving to our new location in Bothell, WA fall 2026. We will consider candidates for our Princeton, NJ location on a case by case basis.
Responsibilities
  • Collaborate with biostatisticians and cross-functional study team members to deliver statistical analysis and reporting outputs in line with project timelines.
  • Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications.
  • Create and/or review SDTM/ADaM mapping specifications and annotated CRFs (aCRFs).
  • Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer's guides.
  • Develop and validate tables, figures, and listings (TFLs) to support clinical study analyses, regulatory submissions, conferences, and publications.
  • Assess the quality, integrity, and consistency of analysis datasets, including cross-study analyses where applicable.
  • Develop SAS programs and macros to automate dataset generation and reporting deliverables.
  • Contribute to process improvements and enhancements of the statistical programming environment.
  • Participate in study team meetings and representing statistical programming in cross-functional discussions.
  • Apply knowledge of clinical trial design, CDISC standards, and regulatory requirements while producing analysis datasets and outputs in compliance with SOPs and industry standards.

Qualifications
  • Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific discipline, with 0-2 years of experience in statistical programming within the pharmaceutical/biotech industry or a CRO.
  • Proficiency in SAS programming, preferably with experience in a clinical trial environment.
  • Working knowledge of CDISC standards (SDTM and ADaM).
  • Hands-on experience in developing and validating SDTM and ADaM datasets, as well as statistical outputs (tables, figures, and listings).
  • Prior experience or exposure to oncology studies is preferred.
  • Strong analytical, problem-solving, and organizational skills.
  • Effective communication and interpersonal skills, with the ability to work collaboratively in cross-functional teams.

Compensation and Benefits:
The expected base salary range for this position is $80,000 - $100,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's level qualifications, experience, and skills.
While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role.
SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.
We offer an opportunity for you to learn and grow while making significant contributions to the company's success.
SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.