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Statistical Programmer Jobs in Portland, OR (NOW HIRING)

Columbia

Principal Data Scientist

Portland, OR · On-site

Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows * Translate analytical findings and statistical models into measures of ...

Siltronic

Process Engineer I-III

Portland, OR · On-site

Core Competencies & Behavioral Expectations Process Engineering & Technical Knowledge Applies ... Applies statistical methods (e.g., SPC, DOE) to analyze process capability and performance

Sandvik

Applications Engineer - Metrology

Tualatin, OR · On-site

Applications Engineer - Metrology 📍 Location: Tualatin, OR (On-site / Hybrid as applicable) 🏢 ... Perform statistical analysis, measurement system analysis (MSA), and R&R studies * Measure and ...

Intel

Module Development Engineer

Hillsboro, OR

Statistics Coursework, Statistical Process Control (SPC) or Design of Experiments (DOE) principles, and engineering analysis tools * Experimental lab work * Semiconductor and transistor device ...

INTEL

Module Development Engineer

Vernonia, OR · On-site

Statistics Coursework, Statistical Process Control (SPC) or Design of Experiments (DOE) principles, and engineering analysis tools * Experimental lab work * Semiconductor and transistor device ...

INTEL

Module Development Engineer

Hillsboro, OR

Statistics Coursework, Statistical Process Control (SPC) or Design of Experiments (DOE) principles, and engineering analysis tools * Experimental lab work * Semiconductor and transistor device ...

INTEL

Module Development Engineer

Portland, OR · On-site

Statistics Coursework, Statistical Process Control (SPC) or Design of Experiments (DOE) principles, and engineering analysis tools * Experimental lab work * Semiconductor and transistor device ...

INTEL

Module Development Engineer

Lafayette, OR · On-site

Statistics Coursework, Statistical Process Control (SPC) or Design of Experiments (DOE) principles, and engineering analysis tools * Experimental lab work * Semiconductor and transistor device ...

CoorsTek

Global Process Engineer Sr

Hillsboro, OR · On-site

$113K - $146K/yr

Job Title Global Process Engineer Sr As the Global Process Engineer Senior, you will be responsible ... Apply knowledge of statistical analysis, project management, Lean Six Sigma, quality, and basic ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Portland, OR

Statistical Programmer information

See Portland, OR salary details

$89.6K

$156.2K

$264.1K

How much do statistical programmer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for statistical programmer in Portland, OR is $156,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $169,700.00 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.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

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 hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

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 in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

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.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Portland, OR? The most popular types of Statistical Programmer jobs in Portland, OR are:
What are popular job titles related to Statistical Programmer jobs in Portland, OR? For Statistical Programmer jobs in Portland, OR, the most frequently searched job titles are:
What cities near Portland, OR are hiring for Statistical Programmer jobs? Cities near Portland, OR with the most Statistical Programmer job openings:
Statistical Programmer jobs near you

Statistician

SD Department of Veterans Affairs

Portland, OR

$74K/yr

Other

Posted 11 days ago

Job description

See duties from the agency on available duty locations.
OIG is organized into six operational units: the Immediate Office of the Inspector General, Office of the Counselor, Office of Audits and Evaluations, Office of Healthcare Inspections, Office of Investigations, and Office of Management and Administration. In addition to the Washington, DC, headquarters, OIG has offices located in more than 60 locations throughout the country.Qualifications:

You must meet the following requirements within 30 days of the closing date of this announcement

To be qualified for this position at the GS-11 level, you must have at least one year of specialized experience equivalent to the GS-09 level that has equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position. Specialized experience is defined as:
- Assisting in researching and compiling data for inspection, audit and investigation activities; AND
- Supporting data processing and analysis using analytic platforms and software; AND
- Contributing to the development of data briefing, dashboards, presentations based on data analysis, etc. OR
- Ph.D. or equivalent doctoral degree OR
-3 full years of progressively higher level graduate education leading to a Ph.D. or equivalent doctoral degree OR
-LL.M., if related OR
-A combination of experience and education. To combine education and experience, the total percentage of experience at the required grade level compared to the requirement, as well as the percentage of completed education compared to the requirement, must equal at least 100 percent. Only graduate level education in excess of the first 36 semester hours (54 quarter hours) may be used in meeting this requirement.

In addition to the above requirements, you must meet the following time-in-grade requirement, if applicable:
For the GS-11, you must have been at the GS-9 level for 52 weeks.
To be found well-qualified, and in addition to meeting specialized experience, the applicant must have documented the following experience: Having a solid and comprehensive understanding of the position. Can perform the required tasks efficiently and is proficient in applying the knowledge, skills, and abilities of the job.
If you are a displaced or surplus Federal employee (eligible for the Career Transition Assistance Plan(CTAP)/Interagency Career Transition Assistance Plan (ICTAP)) you must be rated as "well qualified" to receive special selection priority.
Time After Competitive Appointment: Candidates who are current Federal employees serving on a nontemporary competitive appointment must have served at least three months in that appointment.

Education:You must meet the minimum basic education and/or work experience requirements for Statistician positions in the Federal government. These basic requirements include:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. OR
B. Combination of education and experience -- Courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
The education generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of EducationEmployment Type: OTHER

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