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Remote Statistical Programmer Jobs in Oregon (NOW HIRING)

The Senior Data Analyst will support data analysis, reporting, statistical programming, and ... This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ...

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Expert-level proficiency in SQL & strong applied experience with 1+ statistical programming ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

$100K - $170K/yr

Stand up and own the monitoring platform, utilizing Query Store across databases, wait-statistics ... High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... statistics, optimization methods, and estimation theory. * Experience applying algorithmic ...

With a remote team of product experts, we're tapping into American talent to drive the next ... sample game play statistics, and deliver math specification data to the game engineering teams.

Senior Software Engineer, Pricing

OR · On-site +1

$122K - $161K/yr

Background in finance / fintech, financial mathematics, statistics, or machine learning preferred ... Remote US Time Zone Requirements - This team operates across all U.S. time zones. Travel ...

Background in statistics, economics, or applied ML domains * Demonstrated success building ... Remote, San Mateo, Columbus, Austin Time Zone Requirements - This team operates across all U.S ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... This role involves close collaboration with cross-functional teams (especially ML Engineering) to ...

Employee is not required to be in or near an office frequently and works from a designated remote ... Bachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics ...

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Remote Statistical Programmer information

See Oregon salary details

$89.3K

$155.7K

$263.3K

How much do remote statistical programmer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote statistical programmer in Oregon is $155,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,200.00 and $169,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Statistical Programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do Remote Statistical Programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

What Does a Remote Statistical Programmer Do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.
What are the most commonly searched types of Statistical Programmer jobs in Oregon? The most popular types of Statistical Programmer jobs in Oregon are:
What are popular job titles related to Remote Statistical Programmer jobs in Oregon? For Remote Statistical Programmer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Oregon look for? The top searched job categories for Remote Statistical Programmer jobs in Oregon are:
What cities in Oregon are hiring for Remote Statistical Programmer jobs? Cities in Oregon with the most Remote Statistical Programmer job openings:
Senior Statistical Programmer Analyst Contractor - Remote in US

Senior Statistical Programmer Analyst Contractor - Remote in US

Arcus Biosciences

Remote

Full-time

Posted 17 days ago


Job description

Summary

The Senior Statistical Programmer Analyst Contractor will be responsible for supporting the submission readiness of study data packages per CDISC standards and FDA guidance, planning, execution, and quality of statistical analyses, and statistical programming infrastructure. This position will report into Head of Statistical Programming and will interact regularly with internal and external biostatisticians, clinical data managers, and other team members. Demonstrated ability to prioritize work and to effectively communicate and collaborate with key stakeholders both within Biometrics and beyond (research, translational science, clinical science, clinical operations and regulatory) is a must.


This is a unique opportunity to join a small but growing Biometrics team investigating a diverse portfolio of immuno-oncology therapeutics in early development. The ideal candidate will be a highly experienced technical SAS programmer/developer with an in‐depth understanding of clinical and/or statistical programming processes, tools, systems, and strong communication skills.

Responsibilities

  • Develop specifications, build and execute programs for internal data reviews, publications, exploratory, post-hoc and regulatory review.
  • Adopts strategic approach to producing and prioritizing analytical deliverables which includes study level or integrated analysis for safety signal detection or other business needs.
  • Work with data management to review case report forms, database specifications, and data transfer specifications
  • Manage on-time and quality delivery of CRO-generated analyses results.
  • Solid, demonstrated experience with CDASH and CDISC data standards (SDTM, ADaM) as well as health authority reporting requirements.
  • In-depth knowledge of data standards and demonstrated experience in the handling non-CRF data including proven ability to work with diverse data types.
  • Responsible for creating/reviewing SDTM/ADaM mapping specifications.
  • Generates or validates SDTM domains, ADaM datasets, reviewer's guide, and define.xml files.
  • Generates or validates TFLs to support the statistical analysis of data for clinical studies, regulatory submissions, and publications such as CSR, DSUR, IB, publications, etc. 

Qualifications 

  • Bachelor’s or Master’s degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience
  • 8+ years programming experience with growing responsibility in biotechnology or pharmaceutical clinical trial environment.
  • Experience in software development and testing (e.g., SAS Macros tools, R functions/packages, Unix scripts etc).
  • Experts in developing applications using various technical stacks not limited to SAS, R and/or Python.
  • Solid understanding of industry standards such as CDISC, specifically SDTM and controlled terminology and/or ADaM.
  • Proven ability to translate sophisticated problems into clear and concise programming code/tools.
  • Basic Project management skills and experience.
  • Solid understanding of programming practices (including tools and processes), relevant health authority guidelines, such as (e.g., ICH‐GCP, 21 CFR Part 11), and relevant clinical R&D concepts.
  • Demonstrated strong written, verbal communication skills, ability to manage conflicting demands and priorities and to negotiate successfully.
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