Senior Biostatistician - School of Medicine, Human Genetics

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Description

We are interested in hiring a senior biostatistician to develop and use existing tools to analyze genomics data collected from large population-based cohorts. This position is within the Department of Human Genetics, in the Emory University School of Medicine.

 

KEY RESPONSIBILITIES:

• 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.
• Keeps abreast of the latest statistical modeling and computing tools.
• Participates in the development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization schedules.
• Prepares statistical method sections for inclusion in study protocols.
• Reviews the design and content of database designs and data edit checks.
• Develops and validates SAS programs to support statistical analyses.
• Provides interpretations of statistical results, and prepares the relevant statistical sections for study reports.
• Creates and maintains biostatistical documentation, including descriptions of methods, SAS programs and results.
• Prepares electronic files using appropriate formats for submission to regulatory agencies.
• Participates in the development of standardization procedures for statistical functions.
• Reviews and audits statistical analysis plans, SAS programs, and statistical reports including tables, listings, and figures.
• Provides guidance to more junior biostatisticians.
• Evaluates and proposes new statistical methods for data analysis.
• Assigns and monitors activities of other project personnel.
• Assist in setting priorities of work to be done.
• Provides support and serves as a resource to biostatisticians, programmers, and data analysts.
• Participates in training of less senior biostatisticians and other team members.
• Provides input into the evaluation of their team members.
• Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals prior to submission.
• Writes statistical methods section of manuscripts for publication.
• Writes and/or revises quantitative, epidemiologic, and medical sections of manuscripts.
• Helps estimate budgets for biostatistical support for larger, more involved clinical studies (NIH program project grants, multicenter clinical trials etc).
• Monitors data collection, institutes procedures to assure data quality and guarantees study protocols are followed appropriately.
• Performs related responsibilities as assigned.

ADDITIONAL JOB DETAILS:

• Candidates should be independent and highly motivated with a strong background in biostatistics and genomic data analysis.
• The selected candidate will work on NIH-sponsored research that will include genome-wide analyses of epigenetic and transcriptomic data, followed by implementation of functional annotation analyses, Mendelian randomization, and/or deep learning models.
• The main focus of this position is to provide data analysis and computational support to the PI and other lab members.
• Broad types of data to be analyzed include genomic data generated with next generation sequencing (RNA-seq and whole genome sequencing) and microarrays (DNA methylation).
• The successful candidate will have excellent analytical skills with a demonstrated understanding of biostatistics and probability theory with application to human genetics.
• The candidate will need to be able to write original code for specific applications and to use and tailor existing software tools and analytic pipelines.
• There may be opportunities to work with significant independence, potentially leading research projects and significantly contributing to manuscripts that result from this work.
• The ideal candidate will have excellent communication and collaborative skills, both oral and written, and must be able to work independently with limited guidance, keep meticulous records of his/her data analysis, and present results to other scientists and the PI.

MINIMUM QUALIFICATIONS:

• A master's degree in statistics, biostatistics, computer science, or a related field and three years of experience as a biostatistician, preferably in an aca