Biostatistician II

$59,000 - $84,350/Yr

Hhri - Minneapolis, MN

posted 6 months ago

Full-time - Mid Level
Minneapolis, MN

About the position

The Biostatistician II position is located in Minneapolis, MN, and offers a hybrid work environment at the employer's discretion. The role involves significant participation in the design, analysis, and interpretation of results derived from medical administrative claims datasets. The successful candidate will be responsible for writing the methods and results sections of manuscripts and reports, conducting statistical analyses using SAS and/or R, and presenting statistical and research findings to a diverse medical transplant community. This community includes researchers, doctors, transplant coordinators, pharmaceutical companies, and government officials. In this role, the Biostatistician II will lead the writing of statistical analysis plans for various projects and interpret the results of analyses for cross-functional collaborators, particularly physicians. The position requires the calculation and conduct of descriptive statistics, as well as the generation of descriptive tabular information and graphical displays. The candidate will also be expected to search and review articles related to clinical statistical analysis, compare and evaluate statistical techniques, and review literature pertinent to specific diseases. Additionally, the Biostatistician II will apply simulation results to recommend and support new research projects and policies, provide statistical guidance and oversight to junior statisticians, and represent the Clinical Data Research Group (CDRG) on multiple complex projects. The role also involves monitoring clinical trials or experiments to ensure adherence to established procedures and verifying the quality of data collected. The candidate will prepare statistical information to support research and study publications and document methods and procedures of statistical analysis and techniques. The position will also involve work on the Scientific Registry of Transplant Recipients, a program of the Health Resources and Services Administration (HRSA).

Responsibilities

  • Participate in the design, analysis, and interpretation of results from medical administrative claims datasets.
  • Write methods and results sections of manuscripts and reports.
  • Conduct statistical analyses using SAS and/or R (Pearson's R).
  • Present statistical and research findings to the medical transplant community.
  • Lead in writing statistical analysis plans for projects.
  • Interpret results of analysis for cross-functional collaborators such as physicians.
  • Calculate/conduct descriptive statistics.
  • Generate descriptive tabular information and graphical displays.
  • Search and review articles associated with clinical statistical analysis.
  • Compare, evaluate, and report statistical techniques.
  • Review literature related to specific diseases.
  • Apply simulation results to recommend and support new research projects and policies.
  • Provide statistical guidance/oversight to statisticians, especially Biostatistician I positions.
  • Represent CDRG on multiple and complex projects and communicate with the transplant community.
  • Apply/develop model-building techniques to improve statistical analyses.
  • Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.
  • Prepare statistical information in support of research/study publications.
  • Document methods and procedures of statistical analysis and techniques.
  • Work on the Scientific Registry of Transplant Recipients, a program of the HRSA.

Requirements

  • Master's degree in Biostatistics, Statistics, or related statistical field.
  • 4 years of experience as a biostatistician or in any occupation in biostatistical analysis.
  • Experience using epidemiologic methods and methods for dealing with confounding variables.
  • Knowledge of statistics to perform Multivariable regression, ANOVA, Logistic regression, Survival analysis, and related statistical techniques.
  • Demonstrated SAS and R programming skills.
  • Experience working in a cross-functional or culturally diverse environment.
  • Experience presenting statistical findings to the medical transplant community, including researchers, doctors, and policy makers.
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