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Junior Sas Programmer Jobs in Oregon (NOW HIRING)

Ultragenyx Pharmaceutical

Director, Biostatistics

OR · On-site +1

Mentor junior team members Requirements: * PhD in Statistics or Biostatistics with a minimum of 8 ... Familiar with SAS and R; preferably with knowledge in CDISC including SDTM, ADaM, and controlled ...

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Junior Sas Programmer information

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$8

$28

$50

How much do junior sas programmer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for junior sas programmer in Oregon is $28.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $35.10 per hour, depending on experience, location, and employer.

What is a junior SAS programmer?

A Junior SAS Programmer is an entry-level role responsible for writing and debugging SAS code to manage, analyze, and report data, often in industries like healthcare, finance, or research. They assist in data cleaning, validation, and generating reports based on client or business needs. Typically, they work under the supervision of senior programmers or statisticians and collaborate with data analysts or researchers. Strong knowledge of SAS programming, SQL, and data manipulation techniques is essential for this role.

What are the typical responsibilities of a junior SAS programmer on a daily basis?

As a Junior SAS Programmer, your main responsibilities usually include writing and maintaining SAS code to clean, validate, and analyze data sets, often under the guidance of more senior team members. You'll assist in generating reports, documenting programming processes, and participating in team meetings to discuss project progress or troubleshoot issues. Collaboration with data analysts, statisticians, and project managers is common, as is adapting to new datasets and receiving feedback to refine your work. This role offers valuable hands-on experience and is a great foundation for advancing into senior programming or data analyst positions.

What are the key skills and qualifications needed to thrive in the junior SAS programmer position, and why are they important?

To thrive as a Junior SAS Programmer, you need a basic understanding of SAS programming, statistics, and data management, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with the SAS software suite, as well as knowledge of SQL and industry-relevant certifications, are commonly required. Problem-solving abilities, attention to detail, and effective communication help junior programmers excel within team settings. These skills ensure accurate data analysis, efficient code development, and clear collaboration with colleagues and stakeholders.

What are the most commonly searched types of Sas Programmer jobs in Oregon?

The most popular types of Sas Programmer jobs in Oregon are:

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Junior Sas Programmer jobs near you
Infographic showing various Junior Sas Programmer job openings in Oregon as of August 2026, with employment types broken down into 60% Full Time, 38% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $59,280 per year, or $28.5 per hour.

Director, Biostatistics

Ultragenyx Pharmaceutical

OR • On-site, Remote

Full-time

Posted 2 days ago

New

Job description

Position Summary:

ultracurious - Apply your biggest ideas in courageous ways

The Director of Biostatistics acts as program statistical lead; provides technical leadership and biostatistical support on the design and conduct of clinical studies; participates in the evaluation, interpretation, and reporting of study results, in regulatory submissions to the FDA and other regulatory agencies; performs statistical analyses and develops tracking systems for data quality assurance. 

The Director of Biostatistics contributes to identifying, developing, and implementing departmental standards, applications, processes, and training. Provides timely support to the project teams on all statistical matters according to the project strategies and is responsible for addressing all administrative functions required for project management and milestones, identifying and communicating changes in project requirements that may affect key deliverables at the project level. 

Work Model: 

Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed.

Responsibilities:
  • Lead in product / indication level tasks including regulatory interactions and filing, and ensure statistical integrity; contribute strategically to the supporting projects from statistics perspective 
  • Contribute to study level tasks from statistics perspective, including: study design and sample size determination; Author/review statistics section in the protocol, SAP and DMC charter; Create/review study randomization files; Develop TFL shell and specification Review CRFs and other study documentations; Active participation in study related meetings 
  • Works collaboratively within biometrics teams and with cross-functional teams to meet product deliverables and timelines for statistical data analysis and reporting 
  • Ensure statistical integrity of deliverables; provide statistically sound scientific methodology input to meet project objectives and regulatory statistical and data requirements 
  • Independently conduct analyses suggested by the data; Propose new/novel statistical methodological approaches to improve the efficiency and sensitivity of study results 
  • Contribute to developing standards and research in advanced statistical methodologies 
  • Author/review regulatory documents or scientific publications 
  • Mentor junior team members 
Requirements:
  • PhD in Statistics or Biostatistics with a minimum of 8 years (min 11 years for Masters) of post-graduate experience in the clinical trials setting in the pharmaceutical industry 
  • Experienced in NDA / BLA / MAA activities as a key contributor from statistics perspective and direct involvement in regulatory interaction 
  • Experienced as product lead statistician and contributing to strategy discussion in cross functional settings; Experienced in managing multiple products and studies and being able to prioritize 
  • Experienced in study level work including authoring SAP and TFL specification 
  • Familiar with ICH guideline, FDA / EMA / other regulatory authority guidance 
  • Solid understanding of mathematical and statistical principles; Experience in statistical methods analyzing longitudinal data is preferred 
  • Detailed-oriented with organization, problem solving and prioritization skills; demonstrated the ability to prioritize and complete multiple tasks according to company timeline 
  • Familiar with SAS and R; preferably with knowledge in CDISC including SDTM, ADaM, and controlled terminologies 

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