Biostatistician - Full-Time

Denver Research Institute; Aurora (CO); On-site; USD 119,000 - 135,000; Full time

Benefits offered by this job

403(b) – employer match up to 5%

AD&D

Family Medical Leave

Long Term Disability

Paid Holidays

Paid Sick Days

Paid Vacation Days

Telehealth

Hospital Indemnity

Health, dental, vision plans

Job summary

Denver Research Institute in Aurora, CO seeks a Biostatistician to provide statistical expertise to research leaders at the Rocky Mountain Regional Veterans Affairs Medical Center. This exempt, full-time role offers a salary range and requires advanced training in biostatistics and related health sciences.

The successful candidate will design studies, manage data workflows, perform complex analyses with SPSS, R, or Python, and contribute to reports, manuscripts, and grant submissions.

Qualifications

• Master’s Degree required or bachelor’s degree and 2 years relevant experience.
• Required degree concentration: Biostatistics/Statistics, Epidemiology, or other scientific field with Statistics.
• Relevant experience in Biostatistics/Statistics, Epidemiology, or related field with data gathering, analysis and interpretation.
• Statistical Theory and Methods: regression, multivariate, survival, Bayesian, longitudinal analyses.
• Research Methodology: understanding study designs, power analysis, sampling techniques.
• Data Science & Informatics: familiarity with large datasets, data mining, statistical modeling.
• Programming Languages: SPSS, R, Python.

Responsibilities

• Collaborate with principal investigators to develop research questions and hypotheses.
• Advise on study design, including selection of statistical methods and sample size calculations.
• Work with data managers to ensure data integrity, quality assurance, and accuracy.
• Organize, clean, and preprocess data for analysis.
• Develop and maintain statistical code libraries.
• Analyze complex research data using appropriate statistical methods and software.
• Interpret statistical results in the context of the research question.
• Prepare statistical analysis plans and reports; contribute to manuscripts and grants.

Job description

Position: Biostatistician

Classification: Exempt, Full-Time

Salary Range: $118,675 - $134,500

Reports to: Principal Investigator

Date: 08.2026

Job Summary:

Statistician provides statistical and analytical expertise to research leaders at the Rocky Mountain Regional Veterans Affairs Medical Center.

DUTIES AND RESPONSIBILITIES

Study Design and Methodology

• Collaborate with principal investigators to develop research questions and hypotheses.
• Advise on study design, including selection of statistical methods and sample size calculations.

Data Management

• Work with data managers to ensure data integrity, quality assurance, and accuracy.
• Organize, clean, and preprocess data for analysis.
• Developing and maintaining statistical code libraries.

Statistical Analysis

• Analyze complex research data using appropriate statistical methods (e.g., regression, survival analysis, longitudinal analysis).
• Use statistical software packages (e.g., SPSS, R, Python) for data analysis.
• Interpret statistical results in the context of the research question.

Reporting and Communication

• Prepare statistical analysis plans and reports summarizing analytical methods and findings.
• Collaborate on the preparation of manuscripts, abstracts, grant submissions, and presentations.
• Explain statistical concepts, findings, and limitations to non-statistical collaborators.
• Conduct statistical review of research findings to ensure accuracy and validity.
• Document all analytic decisions and maintain reproducibility of research.

Professional Development and Collaboration

• Stay up-to-date with latest statistical methods and best practices.
• Participate in research team meetings and contribute to multidisciplinary discussions.
• Training and mentoring junior analysts or other team members.

QUALIFICATIONS

• Master’s Degree required or bachelor’s degree and 2 years relevant experience required.
  • Required degree concentration: Biostatistics/Statistics, Epidemiology, or other scientific, health, medical or social sciences field with a concentration in Statistics.
  • Relevant experience is defined as: Experience in Biostatistics/Statistics, Epidemiology, or other scientific, health, medical or social sciences field where activities included gathering, analyzing and interpreting statistical data.
• Statistical Theory and Methods: Extensive knowledge of advanced statistical concepts (e.g., regression, multivariate techniques, survival analysis, Bayesian methods, longitudinal data analysis, natural language processing).
• Research Methodology: Understanding of study designs (observational, experimental, clinical trials), power analysis, and sampling techniques.
• Data Science & Informatics: Familiarity with large datasets, data mining, and statistical modeling.
• Programming Languages: Proficient knowledge of statistical programming (e.g., SPSS, R, Python).

• Statistical Analysis: Advanced skills in applying and interpreting a wide range of statistical techniques.
• Data Management: Skillful in cleaning, organizing, and managing complex and large datasets.
• Programming: Ability to write, debug, and optimize code in statistical software; automation of tasks.
• Problem Solving: Ability to identify problems, evaluate solutions, and choose appropriate analytical approaches.
• Communication: Skillful in presenting complex statistical concepts to non-statistical audiences; preparing clear reports and publications.
• Regulatory and Ethical Standards: Knowledge of IRB procedures, HIPAA regulations, and other compliance relevant to human subjects research.
• Collaboration: Effective teamwork, particularly in multidisciplinary settings (clinicians, researchers, data managers).

• Interpretation & Translation: Ability to interpret statistical findings and translate them into actionable recommendations.
• Critical Thinking: Ability to critique research protocols and manuscripts for statistical rigor.
• Adaptability: Ability to adapt to new statistical methods, software, and research topics.
• Innovation: Ability to develop novel statistical solutions for challenging or unique research scenarios.
• Attention to Detail: Ability to ensure precision and accuracy in statistical analyses and reporting.

Other Duties:

• Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

For all Full -Time DRI Positions:

• 403(b) – employer match up to 5% eligibility
• AD&D
• Family Medical Leave
• Long Term Disability
• Basic Life Insurance
• Paid Holidays
• Paid Sick Days
• Paid Vacation Days
• Telehealth
• Hospital Indemnity
• Benefits for you and your family at the first of the month following first day of employment:
  • Dental insurance
  • Vision insurance
  • Flexible spending accounts
  • Dependent Care account
  • Health savings account with high-deductible health care plan

Work Authorization/Security Clearance (if applicable)

• Candidate must be able to be federally badged via a WOC (without compensation) Letter as administered by the VA and to include any background tests or screenings as required by the VA.

Employment with Denver Research Institute is contingent upon a candidate obtaining and holding VA appointment, which could be jeopardized by marijuana use which is permissible under state law but prohibited by VA’s employment policies.

DRI is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status. We encourage individuals of all backgrounds to appl y.