Biostatistics Analyst

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Job Title:

Biostatistics Analyst

Department:

Medicine | School Biomed Sci - Biomedical Informatics

Function as a Biomedical Informatics Analyst in the Biomedical Informatics Department.  Perform the state-of-the-art analysis of spatial multi-omics and immunologic datasets through collaborations with biomedical researchers; mine relevant public domain, commercial, and local datasets; implement integrative analysis of disparate sources of both omics and clinical data; identify and resolve data-related issues. Develop bioinformatics methods and pipelines via working with the faculty in the Department of Biomedical Informatics; implement artificial intelligence and machine learning (AI/ML). Interact with biomedical researchers, provide technical expertise and develop successful solutions to meet their requirements; publish results from research projects; and collaborate as co-investigators and assist in designing experiments and developing an analysis plan.  Take role in design, preparation, teaching and organization of institution-wide trainings and seek collaborative opportunities.

Minimum Education Required

Master’s Level Degree with a Major in bioinformatics, biostatistics, computer science, data science, or a related field.

Additional Education Desired

PhD Level Degree with a Major in bioinformatics, biostatistics, computer science, data science, or a related field.

Required Qualifications

Master’s Level Degree with a Major in bioinformatics, biostatistics, computer science, data science, or related field, or an equivalent combination of education and experience is required; 2 years of relevant experience is required. Experience in various omics data analysis workflows; fluency with R and Python; previous experience of working in a Linux environment and high-performance computing cluster; requires successful completion of a background check; candidate may be required to complete a pre-employment physical, including a drug screen.

Function: Research and Scholarship

Sub-Function: Statistics and Biostatistics

S2

Additional Information:

Location:

Pelotonia Research Center (1040)

Position Type:

Regular

Scheduled Hours:

40

Shift:

First Shift

Final candidates are subject to successful completion of a background check.  A drug screen or physical may be required during the post offer process.

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