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Clinical R Programmer Jobs in Oregon (NOW HIRING)

FDA's 2017 draft guidance on Estimands in Clinical Trials * Technical Skills : * Proficiency in R ... Experience working in a regulated programming environment * Documentation & Reporting : Skilled in ...

OR · On-site

$275K - $290K/yr

The Sr. Director of Biostatistics will provide leadership and strategic input for clinical ... Lead the biometrics team including statistician, data manager, and statistical programmer at a ...

$20 - $26/hr

... libraries Engineer features from claims, clinical, or operational datasets Measure model ... R, XGBoost, or other gradient-boosting libraries Interest in healthcare data, payer/provider ...

OR

$91K - $124K/yr

Experience working with nonclinical safety data and familiarity with the role of toxicology in drug-development * Strong programming expertise in Python and R, with experience developing reproducible ...

We translate unique clinical, medical affairs and commercial insights into outcomes to address ... Requires basic knowledge of statistical programming language(s) (e.g., SAS, R, Python); Excellent ...

WellBe's physician/advanced practicing clinician led geriatric care teams' partner with the patient ... programming languages. Some development experience in at least one scripting language (Python, R ...

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Clinical R Programmer information

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

To thrive as a Clinical R Programmer, you need a solid background in statistics, R programming, and clinical trial data analysis, often supported by a degree in statistics, biostatistics, or a related field. Expertise in SAS, CDISC standards (SDTM/ADaM), and familiarity with clinical data management systems are commonly required. Attention to detail, problem-solving skills, and effective communication enable you to interpret data accurately and collaborate with cross-functional teams. These skills are vital for ensuring reliable statistical outputs that support regulatory submissions and data-driven decisions in clinical research.

What are Clinical R Programmers?

Clinical R Programmers are professionals who use the R programming language to manage, analyze, and visualize clinical trial data in the pharmaceutical, biotech, or healthcare industries. They play a key role in preparing statistical reports, generating tables, listings, and figures (TLFs), and ensuring data integrity for regulatory submissions. Clinical R Programmers collaborate with statisticians, data managers, and clinical teams to ensure the accuracy and compliance of clinical trial results with industry standards and regulatory requirements.

What are some common challenges faced by Clinical R Programmers when working with clinical trial data?

Clinical R Programmers often encounter challenges such as handling large and complex datasets, ensuring strict compliance with regulatory standards (like CDISC SDTM and ADaM), and maintaining data integrity throughout the analysis process. Collaboration can be demanding, as programmers must frequently coordinate with biostatisticians, data managers, and clinical teams to interpret data requirements and resolve discrepancies. Staying updated with evolving industry guidelines and managing tight project timelines are also common aspects of the role.

What is the difference between Clinical R Programmer vs Clinical SAS Programmer?

AspectClinical R ProgrammerClinical SAS Programmer
Required CredentialsTypically requires a degree in statistics, biostatistics, or related field; proficiency in R programmingUsually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming
Work EnvironmentOften works in research-focused settings, academia, or biotech companies using open-source toolsCommonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS
Industry UsageGrowing in popularity for data analysis and visualization in clinical researchStandard in clinical trial data management and regulatory submissions

While both roles involve programming for clinical data analysis, Clinical R Programmers focus on using R for statistical analysis and visualization, whereas Clinical SAS Programmers primarily use SAS for data management and reporting. The choice depends on the company's preferred tools and project requirements.

What are popular job titles related to Clinical R Programmer jobs in Oregon? For Clinical R Programmer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Clinical R Programmer jobs? Cities in Oregon with the most Clinical R Programmer job openings:
Statistician

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Overview/About Lumanity

Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies worldwide to:

  • Generate robust evidence demonstrating product value
  • Translate science and data into compelling product narratives
  • Enable strategic commercial decisions that position products for market success

Our work spans three complementary areas: Strategy & Insights, Value, Access & Outcomes, and Medical Strategy & Communications.

Responsibilities / Position overview

About the role

The Patient-Centered Outcomes (PCO) team at Lumanity is seeking a Statistician to join our growing statistics group. This position can be based in the US (preferred), with flexible working arrangements; UK or EU considered.

We are looking for candidates with a proven track record in life sciences consulting and expertise in applying advanced statistical methods to patient-reported outcomes (PROs).In this role, you will:

  • Design and execute statistical analyses for PRO data in standalone studies
  • Conduct post-hoc analyses of clinical trial data to uncover additional value in study treatments
  • Translate complex statistical results into evidence that meets regulatory, clinical, and payer expectations
  • Serve as a trusted advisor to clients and stakeholders on PRO statistical strategies within drug development pipelines

This is a career-growth opportunity, with the hiring title determined by experience. You will start by contributing statistical expertise under the guidance of senior leaders, progressing to independently managing the full research pipeline, from study design through data analysis to final reporting.

Core Job Responsibilities

Scientific Leadership & Study Execution

  • Design studies using non-interventional data or devise statistical approaches to analyze PROs in interventional studies, enabling robust and meaningful insights.
  • Experience also designing and analyzing Discrete Choice Experiments (DCE) and other stated-preference methodologies (e.g., Best-Worst Scaling, Conjoint Analysis) to quantify patient preferences and inform product development and market access strategies is sought, though not required for this job.
  • Develop detailed statistical analysis plans, execute data analyses, interpret findings, and prepare clear, comprehensive reports.
  • Conduct post-hoc analyses of clinical trial data to identify additional treatment benefits or insights related to PROs.
  • Compile and author statistical sections of COA dossiers, integrating evidence to support regulatory and market access submissions.
  • Maintain strong Sponsor relationships by delivering scientifically rigorous analyses designed to meet client and program needs, balancing methodological precision with practical decision-making.
Qualifications

Qualifications

  • Education & Experience: Master's degree or higher in Statistics or Biostatistics, with 3-5 years of experience in a life sciences consultancy.
  • Statistical Expertise for PROs: Proficiency in methods tailored for skewed, bounded, longitudinal, and missing PRO data, including:
    • Mixed Models for Repeated Measures (MMRM)
    • Analysis of Covariance (ANCOVA)
    • Logistic Regression
    • Non-parametric tests (e.g., Wilcoxon Rank-Sum)
    • Multiple Imputation or likelihood-based methods for missing data
    • Sensitivity analyses for post-hoc scenarios
  • Regulatory Knowledge: Comprehensive familiarity with frameworks that guide statistical methods for PROs, including:
    • FDA's Patient-Focused Drug Development Guidance Series and disease-specific guidances
    • HTA Coordination Group JCA Dossier guidance
    • EMA's Reflection Paper on patient experience data
    • ICH E9(R1) Statistical Principles for Clinical Trials: Addendum on Estimands and Sensitivity Analysis
    • FDA's 2017 draft guidance on Estimands in Clinical Trials
  • Technical Skills:
    • Proficiency in R, including packages for longitudinal and categorical data analysis, and the wider tidyverse suite
    • Experience working in a regulated programming environment
  • Documentation & Reporting: Skilled in preparing statistical analysis plans and technical reports using standardized templates to ensure efficiency and consistency.
  • Soft Skills:
    • Exceptional written and verbal communication skills, with the ability to translate complex statistical concepts into clear, actionable insights for diverse audiences
    • Strong problem-solving abilities and adaptability in fast-paced environments
    • Skilled in partnering with clients during high-stakes projects, balancing responsiveness with scientific rigor
    • Proven ability to collaborate respectfully and effectively within cross-functional, mixed-methods research teams
  • Innovation: Experience leveraging emerging AI tools to scale statistical programming and enhance scientific writing efficiency.
Benefits

We offer our employees a comprehensive benefits package that focuses on what matters to you - health and well-being, personal finances, professional development, and a healthy work/life balance:

  • Competitive salary plus bonus scheme
  • Medical, dental, and vision insurance options
  • 401(k) plan with employer match
  • Generous amount of paid time off annually + 10 paid holidays
  • Flexible spending accounts for health and dependent care
  • Employee Assistance Program
  • Paid short-term and long-term disability coverage and more
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Employment Type: OTHER

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About Lumanity

Sourced by ZipRecruiter

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

2022

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