Biostatistician

Position:
Biostatistician

Classification:
Non-Exempt, Part-Time

Salary Range: $51.00 per hour

Classification:
Part-Time

Reports to:

Principal Investigator

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

• 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.
• Developing and maintaining statistical code libraries.

• 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.

• 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.

• 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.

• 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…