• Biostatistician

    Job Number
    Job Type
    Regular Full-Time
    School Of Medicine
    SOM: Hum Gen: Admin
    This position may involve the following Health and Safety issues:
    Not Applicable
    Job Category
  • Description


    • Develops and analyzes a variety of research data using statistical methods.
    • Assists researchers in developing appropriate study protocols and computer analyses.
    • Manages computer systems, writes programs, and trains others in the use of systems.
    • Provides statistical expertise in the areas of study design and data analysis to investigators/researchers interested in conducting clinical or experimental studies.
    • Works effectively within a group setting in areas of design of data collection instruments, study design, database management, statistical programming, analysis of data, statistical graphics, and writing of reports which include explanations of methods used and interpretation of results obtained.
    • Consults with investigators to determine questions of interest and data needed to address those questions.
    • Determines and carries out appropriate statistical analyses.
    • Interprets and presents data descriptions and analysis results including the explanation of statistical techniques used, the assumptions made and the generalization of results.
    • Documents methods and results through preparation of interdepartmental memoranda and reports.
    • Performs related responsibilities as assigned.


    • A bachelor's degree in statistics, biostatistics, computer science, or a related field and two years related experience, OR an equivalent combination of education, training, and/or experience.




    Additional Details

    This position is for an analyst who will work with diverse genomic and phenotypic data on craniofacial anomalies. The individual in this position will be responsible for managing and analyzing these data to answer specific research questions in conjunction with study investigators. Activities include: managing genomic and phenotypic datasets, preparing documentation, scripts, and tools, preparing genomic-specific variables, depositing data and documentation in databases, merging data and manipulating files, troubleshooting data issues, visualizing results, and communicating results with the PI and collaborators.




    • Demonstrable experience genetic/genomic data and proficiency in using R/Bioconductor, Plink, Linux command line.
    • Excellent data management, programming, and communication skills.



    Applicants should provide a cover letter, resume, a brief statement of research skills, experience, and future goals, and the names and contact information for three references.


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