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Clinical R Programmer Jobs in Boulder, CO (NOW HIRING)

Medtronic

Systems Engineer II

Lafayette, CO · On-site

... clinical procedural workflows. Must Have: Minimum Requirements A Bachelors' degree in an ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

Medtronic

Systems Engineer II

Lafayette, CO · On-site

... clinical procedural workflows. Must Have: Minimum Requirements A Bachelors' degree in an ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

ForMotion

Business Development Manager

Denver, CO · On-site

Fior & Gentz, an innovative developer of neuro orthotics; and College Park, creators of custom ... Display and communicate strong understanding of the company's clinical products and services ...

Capital Rx

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

Partner with Product, Engineering, Data Engineering, Clinical Operations, Analytics, and business ... R * 4+ years of experience with complex SQL * 3+ years of experience with the pharmacy benefit ...

Intercare Therapy

Center Launch BCBA

Denver, CO · On-site

$85K - $109K/yr

Denver State: Colorado Team Clinical Administration Working time Full- Time Description ... Conduct developmental skills assessments, such as (not limited to) the ABLLS-R, AFLS, and/or VB ...

Intercare Therapy

Center Launch BCBA

Denver, CO · On-site

$85K - $109K/yr

The Center Launch BCBA provides the clinical knowledge, leadership, feedback, insights and ... Conduct developmental skills assessments, such as (not limited to) the ABLLS-R, AFLS, and/or VB ...

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Showing results 21-40

All JobsClinical R Programmer JobsClinical R Programmer Jobs in Boulder, CO

Clinical R Programmer information

See Boulder, CO salary details

$25

$67

$106

How much do clinical r programmer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for clinical r programmer in Boulder, CO is $67.18, according to ZipRecruiter salary data. Most workers in this role earn between $55.58 and $76.06 per hour, depending on experience, location, and employer.

What is a Clinical R programmer?

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 skills and qualifications are needed to be a Clinical R programmer?

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 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 Boulder, CO?

For Clinical R Programmer jobs in Boulder, CO, the most frequently searched job titles are:

What cities near Boulder, CO are hiring for Clinical R Programmer jobs?

Cities near Boulder, CO with the most Clinical R Programmer job openings:

Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Boulder, CO as of June 2026, with employment types broken down into 7% Locum Tenens, 7% As Needed, 34% Full Time, 5% Part Time, 44% Contract, and 3% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $139,730 per year, or $67.2 per hour.

Senior Analytics Engineer

Wheat Ridge, CO • On-site

Jefferson Center for Mental Health
Offices of Mental Health Practitioners • 201 - 500 employees
Learn more about Jefferson Center for Mental Healthexternal

$94K - $116K/yr

Full-time

Posted 21 days ago

Job description

At Jefferson Center, it is our policy and our mission to be inclusive and mindful of the diversity of everyone who comes through our doors. We are passionate about building a community where mental health matters and equitable care is accessible to all races, ethnicities, abilities, socioeconomic statuses, ages, sexual orientations, gender expressions, religions, cultures, and languages.
The Senior Analytics Engineer bridges data engineering, business intelligence, advanced analytics, and emerging AI capabilities. This role designs and develops trusted data products, enables self-service reporting, prepares data for predictive modeling and AI-applications, and partners with stakeholders to turn healthcare data into actionable insights. Applicants must be legally authorized to work in the United States. This position is not eligible for employer-sponsored work authorization now or in the future.
Essential Duties:
Analytics Engineering & Data Architecture
  • Design, develop, and maintain analytics-ready dimensional models (star schemas, semantic layers) and curated data marts.
  • Translate business requirements into scalable, performant data structures that promote consistency across analytics solutions.
  • Establish standards and best practices for data modeling, metric definitions, performance tuning, and data governance.

Advanced Analytics & AI Enablement
  • Curate feature tables and datasets for predictive modeling, time-series forecasting, risk scoring, and population health analysis.
  • Prepare and optimize data pipelines and semantic layers for AI-driven experiences, Microsoft Fabric Copilots, and RAG/knowledge retrieval tools.

  • Integrate automated ML and forecasting outputs into enterprise data structures for downstream reporting.

Self-Service Analytics
  • Build user-friendly semantic models to support self-service analytics across Power BI, Microsoft Fabric, and modern cloud platforms.
  • Educate and coach business users on report consumption, governance standards, and analytical tools.

Business Partnership & Technical Leadership
  • Collaborate with clinical and operational leadership to identify high-value analytics opportunities and translate complex findings into business recommendations.
  • Serve as a technical SME for analytics engineering, evaluating emerging cloud and AI technologies to elevate team maturity.

Qualifications & Experience:
Education
Bachelor's degree or higher in Analytics, Computer Science, Information Systems, or related quantitative field (or equivalent practical experience).
Work Experience
  • 5+ years in Analytics Engineering, Data Engineering, or Senior BI/Data Modeling roles.
  • 3+ years in healthcare analytics. Experience with behavioral health, Medicaid, claims, or value-based care preferred.

Core Technical Skills
  • Expert-level SQL, Python, R.
  • Dimensional modeling (Kimball), star schemas, enterprise data warehouse architecture, semantic models.
  • Experience with Azure Data Factory, Microsoft Fabric, dbt, Snowflake, Databricks, AzureML, REST APIs
  • Time-series forecasting, trend analysis, exposure to Automated ML (AutoML), and predictive feature store construction.
  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) for code generation, documentation, and pipeline optimization.

Note: Staff are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.
Salary Range: $94,100 to $116,700*
*Jefferson Center pay is based on various factors including education level, licensure level, and years of relative experience.
*The salary listed above is based on 1.0 FTE (40 hours per week).
Application Deadline: This position will remain posted until filled. We encourage applicants to apply by 9/10/2026 for priority consideration.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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