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Remote R Programmer Jobs in Oregon (NOW HIRING)

Familiar with R Programming language * Statistical programming experience in a clinical development ... Flexible work models, including remote work arrangements, where possible Apply now for a career ...

Strong Python and R programming skills. * Experience using SAS and/or Stata software packages a ... Remote Primary Location Salary Range: $75/hr - $150/hr Treliant offers a comprehensive, total ...

Director, Statistical Programming

OR · Remote

$235K - $248K/yr

... fully remote company. Director Statistical Programmer The Director Statistical Programing (SP ... Working knowledge of at least one other programming language, preferably R * Experience with using ...

FP&A Revenue Manager

OR · On-site +1

Experience using programming skills for data analysis (Tableau, SQL, and Python/R programming ... REMOTE

Senior Software Engineer

OR · On-site +1

$160K - $200K/yr

This position is remote-only for East Coast candidates, but we prefer candidates based in New York ... Infrastructure & DevOps: Own and evolve our cloud infrastructure on AWS, including CI/CD pipelines ...

Senior Data Engineer

$105K - $150K/yr

Some development experience in at least one scripting language (Python, R, etc.) is a plus. Strong ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

... with 1+ statistical programming language (Python or R) * Proven track record of designing ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

... R, Looker / Mode / Tableau, etc.) * Degree in Analytics, Data Science, Economics, Engineering ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Partnering closely with our Servicing product management, operations, engineering, and ML teams ... Remote Travel requirements As a digital first company, the majority of your work can be ...

You'll be working with a world class engineering team who gets things done * You'll be working on ... Python, R) * Excellent written and verbal communication * Experience in analytics, mobile ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Sr. Scientist

OR · On-site +1

San Carlos, CA, Austin, TX, or Remote, USA Sr. Scientist -CKD and rare disease Job Summary Natera ... Proficiency in programming languages such as Python or R, SQL, and data visualization tools.

Finance Manager

OR · Remote

$121K - $154K/yr

... with Engineering, Product, and our leadership teams to drive financial planning, investment ... Location. This role is remote-based on the continental US. What You'll Do Cross-Functional ...

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Showing results 1-20

Remote R Programmer information

See Oregon salary details

$84.6K

$131.1K

$159.7K

How much do remote r programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote r programmer in Oregon is $131,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Remote R Programmer?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the Remote R Programmer position, and why are they important?

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What is a Remote R Programmer job?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

What are the most commonly searched types of R Programmer jobs in Oregon? The most popular types of R Programmer jobs in Oregon are:
Senior Clinical Programmer Contractor

Senior Clinical Programmer Contractor

Arcus Biosciences

Remote

Full-time

Posted 21 days ago


Job description

Summary

The Senior Clinical Programmer Contractor will be responsible for support of team data review, data reconciliation and edit checks, and programming submission ready SDTM deliverables. This position will report to a Senior Manager of Clinical Programming or higher 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.
The ideal candidate will come with years of solid industry experience working in a regulated global environment while also demonstrating know-how, flexibility and scientific curiosity useful for establishing internal infrastructure, developing analysis standards, and driving both formal and exploratory work. 

Responsibilities

  • Working from specifications developed by Data Management, with some support build and execute programs for internal data reviews, data reconciliation, and edit checks.
  • Assist in developing/maintaining clinical programming related standards and tools.
  • Work with data management to review case report forms, database specifications and similar documents.
  • With some support, develop data transfer specifications and manage the transfer of external data.
  • Program SDTM datasets and produce related CDISC deliverables such as aCRF, define.xml, reviewer’s guide, etc.
  • With minimal supervision, performs stakeholder management, negotiating timelines and scope of deliverables.
  • Participate in standards governance and developing biometric department operational processes.

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.
  • 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred.
  • Good programming experience in SAS.
  • Experience with other software languages (e.g., Unix scripts, AI tools, R functions/packages, etc).
  • Good knowledge of CDISC data standards (CDASH, SDTM).
  • Good knowledge of data standards and demonstrated experience in the handling of non-CRF data including proven ability to work with diverse data types, such as biomarker, PK/PD, pharmacovigilance, etc.
  • Demonstrated ability to rapidly adapt to changing project and strategic requirements.
  • Takes a fit-for-purpose mindset to daily work as well as long-term vision.

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