Biostatistician - Full-Time

Classification: Exempt, Full-Time

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

Reports to: Principal Investigator

About the Role

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

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.
  • Develop and maintain 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.

Requirements

• 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.

Skills

• 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.

Benefits

• 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

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.