Jobs · Analyst · Colorado

Biostatistician

DENVER RESEARCH INSTITUTE · Denver, CO · 2 mo ago
Analyst$51/hrPart-time

Classification: Part-Time, Non-Exempt

Salary Range: $51.00 per hour

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

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.

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