1

Clinical Statistical Programmer Jobs in Colorado

Clinical Operations Manager II

Aurora, CO ยท Remote

$72K - $95K/yr

... statistical analysis plans, project management plans, ICF templates, study procedure manuals ... Provide operational support for the biostatistics and programming deliverables. Here's what you ...

... clinical, operational, and economic outcomes. You will influence technical strategy, drive ... Partner with engineering, platform, and business teams to deploy, monitor, and maintain production ...

... clinical, operational, and economic outcomes. You will influence technical strategy, drive ... Partner with engineering, platform, and business teams to deploy, monitor, and maintain production ...

... clinical, claims, revenue cycle, population health, or healthcare operations data * AWS cloud ... Strong educational pedigree in Data Science, Computer Science, Statistics, Mathematics, Engineering ...

Post-Doctoral Fellow

Aurora, CO ยท On-site

$49K - $67K/yr

Experience with multi-omics data analysis, statistical/computational methods development, and ... Actively pursue computational, experimental, and clinical collaborations. * Career development:

Post-Doctoral Fellow

Aurora, CO

$49K - $67K/yr

Experience with multi-omics data analysis, statistical/computational methods development, and ... Actively pursue computational, experimental, and clinical collaborations. * Career development:

... Statistics, Economics, Math, Engineering, advanced degree preferred * Previous experience working ... clinical, claims,revenue cycle, population health, or healthcare operations data * AWS cloud ...

next page

Showing results 1-20

Clinical Statistical Programmer information

See Colorado salary details

$17

$56

$94

How much do clinical statistical programmer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for clinical statistical programmer in Colorado is $56.97, according to ZipRecruiter salary data. Most workers in this role earn between $36.15 and $85.67 per hour, depending on experience, location, and employer.

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

Clinical Statistical Programmers often encounter challenges such as handling large and complex datasets, ensuring data integrity, and adhering to strict regulatory guidelines (like CDISC standards). Collaborating closely with biostatisticians, data managers, and clinical teams is essential to resolve data discrepancies and meet tight project deadlines. Staying updated on evolving regulatory requirements and software tools is also vital to maintain high-quality deliverables in a fast-paced environment.

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

To thrive as a Clinical Statistical Programmer, you need strong proficiency in statistical programming languages (such as SAS or R), a background in statistics or life sciences, and familiarity with clinical trial processes. Experience with CDISC standards (SDTM, ADaM), regulatory submission requirements, and version control systems is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring data quality. These skills ensure the accurate analysis and reporting of clinical data, which is critical for regulatory compliance and successful clinical trial outcomes.

What does a Clinical Statistical Programmer do?

A Clinical Statistical Programmer is responsible for managing and analyzing clinical trial data using statistical software, such as SAS or R. Their primary tasks include creating datasets, programming statistical analyses, and generating tables, listings, and figures for clinical study reports. They work closely with biostatisticians and clinical research teams to ensure data accuracy and regulatory compliance. Their work is essential for supporting submissions to regulatory agencies and for making data-driven decisions in clinical research.

What Does a Clinical Statistical Programmer Do?

The job duties of a clinical statistical programmer involve collecting data, performing statistical analysis, and analyzing data sets according to the needs of their employer or client. Your responsibilities in this career may involve using SAS programming to create and analyze data sets during clinical trials or other clinical experiments and studies. You may also be involved in performing data integration for reports following clinical research or statistical analysis for quality control (QC).

What are popular job titles related to Clinical Statistical Programmer jobs in Colorado? For Clinical Statistical Programmer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Clinical Statistical Programmer jobs in Colorado look for? The top searched job categories for Clinical Statistical Programmer jobs in Colorado are:
What are popular job titles related to Clinical Statistical Programmer jobs in CO? For Clinical Statistical Programmer jobs in CO, the most frequently searched job titles are:
Senior Director, Clinical Data Management

Senior Director, Clinical Data Management

Umoja Biopharma

Louisville, CO โ€ข On-site, Remote

Other

Posted 7 days ago


Job description

POSITION SUMMARY

The Senior Director, Clinical Data Management will provide strategic and operational leadership for all clinical data management activities across Umoja's clinical development programs. This role sits within the Clinical organization and is accountable for ensuring the integrity, quality, and regulatory compliance of clinical trial data from protocol development through database lock and regulatory submission.

This individual will lead the planning, execution, and oversight of data management activities, clinical systems, and external vendors, while building scalable processes and capabilities to support a growing clinical pipeline. The role partners closely with Clinical Development, Clinical Operations, Biostatistics, Translational Medicine, Regulatory Affairs, and external partners like CROs to ensure timely delivery of high quality, decision-ready clinical data.

This role will be an Individual Contributor and will lead a matrixed team of vendors (CROs) and contractors to start. This person will be responsible for building out a future team.

This role will ideally be based in Seattle, WA or Louisville, CO but can be remote within the US. If remote, travel to Umoja Headquarters will be required at least once per quarter.

CORE ACCOUNTABILITIES

Specific Responsibilities include:
HandsOn Clinical Data Management Execution (as needed while building CDM team)

  • Serve as the primary clinical data management lead for assigned clinical trials, with direct accountability for data quality, timeliness, and inspection readiness from protocol development through database lock.
  • Perform detailed protocol review with a focus on data flow, endpoints, data collection strategy, and facilitation of downstream analysis requirements.
  • Lead hands-on CRF design and review, ensuring alignment with protocol objectives, statistical analysis plans, and regulatory expectations.
  • Develop, review, and approve data management plans (DMPs), database specifications, edit check specifications, data transfer agreements, and data review plans.
  • Actively participate in EDC system configuration and validation activities, including review of database builds, user acceptance testing (UAT), and system change control.
  • Perform ongoing hands-on data review, query trend analysis, and proactive data cleaning to ensure high-quality, analysis ready datasets.

Technical Oversight & Data Quality

  • Partner with Clinical Operations and other groups to define and implement data quality standards, reconciliation strategies, and risk basedmonitoring approaches for clinical data.
  • Lead hands-onoversight of external CROs and vendors delivering data management services, including detailed review of deliverables, issue resolution, and escalation management.
  • Directly review and contribute to data listings, data exports, and interim analysis datasets in partnership with Biostatistics and Statistical Programming.
  • Ensure clinical trial data is compliant with applicable regulatory requirements, including GCP, ICH, and CDISC standards.
  • Support inspection readiness activities by authoring, reviewing, and maintaining data management documentation and responding directly to audit and inspection findings.

Cross Functional Collaboration

  • Partner closely with Clinical Operations to align data management activities with study execution, site operations, monitoring strategies, and operational reporting needs.
  • Collaborate with Biostatistics and Statistical Programming to ensure smooth handoff of clean, well documented- datasets for analysis and reporting.
  • Provide technical data management expertise to Regulatory Affairs in support of clinical study reports, INDs, BLAs, and other regulatory submissions.
  • Serve as the clinical data management subject matter expert on study teams, governance forums, and internal reviews.

Process & Systems Ownership

  • Own and continuously improve clinical data management processes, tools, and SOPs to support efficient execution in a growing organization.
  • Evaluate, implement, and optimize clinical data systems and technologies (e.g., EDC, IRT, eCOA) to enhance data quality, traceability, and scalability.
  • Contribute handson to vendor selection, scope definition, and budgeting for data management services and systems.

The successful candidate will have:

  • Bachelor's degree or higher in life sciences, health informatics, computer science, or a related discipline with a minimum of 15 years of experience. Equivalent combinations of education and experience will be considered.
  • Significant experience in clinical data management within the biotechnology or pharmaceutical industry, including 8+ years of leadership of data management functions for clinical trials.
  • Demonstrated experience overseeing CROs and external vendors delivering clinical data management services.
  • Strong working knowledge of clinical trial processes, EDC systems, data standards, and regulatory expectations for clinical data.
  • Proven ability to lead teams, manage complex programs, and collaborate effectively in a fastpaced, matrixed environment.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Experience supporting oncology and/or cell or gene therapy clinical development programs.
  • Experience building or scaling clinical data management capabilities in a growing biotech organization.
  • Prior involvement in regulatory submissions and inspection readiness activities.

Physical Requirements

  • Preference to work onsite at least 2 days/week in our Seattle, WA or Louisville, CO location. If remote, the ability to travel to Seattle, WA at least once per quarter.
  • Ability to sit for prolonged periods of time.

Salary Range: $247,400 - $305,600