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Statistical Programmer Jobs in Seattle, WA (NOW HIRING)

Senior Research Engineer

Redmond, WA · On-site

$117K - $160K/yr

Required : • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive ...

Senior Research Engineer

Redmond, WA · On-site

$117K - $160K/yr

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics ...

BSc or MSc degree in Engineering or Physics and/or apprenticeship in electronics or related field Familiarity with C/C++, basic statistics, error analysis. Familiarity with linux systems Scripting ...

BSc or MSc degree in Engineering or Physics and/or apprenticeship in electronics or related field Familiarity with C/C++, basic statistics, error analysis. Familiarity with linux systems Scripting ...

Data Engineer III

Redmond, WA · On-site

$83/hr

Data Engineer III Duration: 6 Months Location: Redmond, WA 98052 Job Type: Contract Work Type ... Build statistical models to identify patterns and trends in production testing data (telemetry ...

D.) in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field. * 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related technical ...

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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.
FD Operations Research Systems Analyst (ORSA) with Security Clearance

FD Operations Research Systems Analyst (ORSA) with Security Clearance

Solutions Through Innovative Technologies, Inc.

Seattle, WA

$112K - $132K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Solutions Through Innovative Technologies, Inc. (STI-TEC) specializes in the delivery of professional business and information management services. STI-TEC offers government and commercial clients a comprehensive portfolio of services that identify, manage, distribute and improve business processes related to entities' most valued resource, information.

As a fast-growing solutions provider, established in 2000, total customer satisfaction has remained the cornerstone of our business. Our business model focuses on integrity, loyalty, and trust. Position Overview The Force Development Operations Research Systems Analyst (ORSA) applies advanced data science, statistical modeling, and operations research techniques to enhance Army G-8 force development, acquisition, and modernization initiatives.

This role designs and employs predictive models, performs readiness and resourcing analyses, and utilizes tools such as SAS, Python, R, Tableau, and Power BI to generate actionable insights. Collaborating with Army leaders and cross-functional teams, the analyst develops decision-ready products, validates requirements, and ensures modernization strategies remain aligned with Army priorities-driving effective resource allocation and strengthening operational readiness. Essential Job Function 1.

Requirements and Acquisition Oversight * Apply JCIDS (AR 71-9, CJCSI 3170.01) and Defense Acquisition System (DoDI 5000.2) policies. * Review and analyze requirements/acquisition documents (ICDs, A-CDDs, CDDs, ONS, BOIPs, ORDs) and recommend positions for leadership. * Support Army and Joint boards/councils (AROC, JROC, JCB, FCB, ARB, ACB, AWG) with analysis and documentation.

2. Data Analysis and Business Intelligence * Extract and analyze equipping and readiness data from Army systems (AE2S-M, CAMS, LAQA, ETR, LQA, cQUIP, AESIP, ECOP, FMSWeb, cPROBE). * Build BI and automation tools (Power BI, Power Apps, SharePoint, MS 365) to streamline processes.

* Develop advanced data visualizations and dashboards to support decision-making. 3. Program and Resource Management * Support programming, budgeting, and execution processes (POM, PPBE, SPAR).

* Develop and present investment and funding options, prioritize RDT&E and procurement, and validate AAO/APO requirements. * Assess the impacts of PDMs and congressional marks on programs and update distribution planning with ASC (LMI). 4.

Force Development and Modernization * Contribute to Army modernization efforts aligned with priorities (ReARMM, MDO, AimPoint, NDS). * Participate in TAA, FFR, AMEC, and ASRC processes. * Provide options for rapid prototyping, fielding, and modernization capability development.

5. Advanced Analytics and Operational Research * Apply modern programming and open-source languages for data analysis. * Conduct statistical modeling (ANOVA, regression, forecasting), simulations, flow/queuing models, cost analysis, and business process reengineering.

* Use operational research methods to optimize modernization, resourcing, and readiness decisions. * Develop predictive models and collaborate with cross-functional teams for actionable insights. 6.

Leadership Support and Coordination * Prepare senior leaders with information papers, EXSUMs, and briefings (including rapid responses within four hours when required). * Support DCS G-8 and DOM divisions in developing program documentation, strategy products, and decision-support materials. * Coordinate with HQDA staff, ASA(ALT), PMs, and Joint/ACOM stakeholders.

7. Communication and Reporting * Produce clear, well-structured reports, dashboards, and strategic communication products. * Maintain situational awareness of assigned programs, including funding, equipping, and readiness status.

* Collaborate across teams and independently manage projects within established timelines. Minimum Qualifications * Bachelor's degree in operations research, applied mathematics statistics, engineering (Systems or Industrial), or computer science * A minimum of three (3) years ORSA experience; * Secret Clearance required * Ability to apply proficiency in SAS and Python with expertise in R, along with proficiency to advance data visualization skills using tools like Power BI, Tableau, PowerApps to accomplish mission tasks; * Ability to apply analytic techniques such as statistical analysis, forecasting and measurement to effect analyses (e.g., ANOVA, Multiple Regression), cost analysis, flow modeling, forecast modeling, linear programming, simulations and queuing theory, and business reengineering/IDEF modeling, and be proficient in writing /editing R code as well as in Tableau and PowerBI. * Interdisciplinary skill set of PPBE, DOD acquisition processes and procedures (DoDI 5000.2) as well as expertise with materiel and /or force structure requirements development and validation (JCIDS).

Desired Qualifications Understanding and/or completion of the following * HTAR; * RQM 1010/ CLR 101; * RQM 1100 series / RQM 110; * RQM 3100/310; CLR 151; * RQM 2500/CLR 250; * RQM 2520/CLR 252; * Certified in related field. STI-TEC offers a competitive benefits package including: * Medical, dental, and vision coverage * Life insurance * Short term/long term disability coverage * Retirement savings - 401(k) * Paid time off (PTO) * Holiday leave * Alternate work schedules (depending on work site) * Flexible spending account options Whether you're an experienced professional, a veteran, a former military or civilian federal employee, or a recent graduate, STI-TEC has a career opportunity for you. Applicants selected may be subject to a U.S.

Government security investigation and must meet eligibility requirements for access to classified information. STI-TEC is an equal opportunity employer and values diversity. Employment is decided on the basis of qualifications, merit, and business need.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation and training. If you need assistance or an accommodation due to a disability, you may contact us at or you may call us at 1+918.583.9900.

*This job posting is to identify potential candidates for positions in order to respond to a request for proposal. This job posting, including but not limited to, qualifications, duties, compensation and benefits, is subject to change based on the terms and conditions of the awarded contract and is contingent on STI-TEC being awarded the contract.