The Athey Lab with Gilbert S. Omenn Department of Computational Medicine and Bioinformatics is seeking a highly skilled and experienced Senior-Level Bioinformatician to exclusively manage coding, data processing, and analytical responsibilities associated with Projects 1a-1c. The successful candidate will leverage advanced computational methods, including Large Language Models (LLMs), and manage substantial datasets derived from Electronic Health Records (EHRs) and large-scale genomic databases. The role demands expertise in creating and optimizing computational pipelines, performing retrospective clinical analyses, and generating statistically robust insights through sophisticated causal inference methodologies.

• Develop, deploy, and optimize computational pipelines and custom scripts using Python and Bash scripting.
• Apply and manage advanced computational methods involving Large Language Models (LLMs) for processing and analyzing extensive EHR datasets.
• Efficiently handle large-scale genomic data acquired from sources such as the Michigan Genomics Initiative (MGI).
• Conduct retrospective clinical study designs, implement statistical analyses, and derive meaningful conclusions through causal inference and modeling.
• Organize, curate, and manage large-scale bioinformatics and clinical datasets, ensuring data integrity, quality control, and reproducibility of results.
• Collaborate closely with interdisciplinary research teams to translate complex data analyses into actionable insights.

Bachelor degree in recognized field of science or learning which is directly related to the position. 

• Advanced proficiency in Python and Bash scripting, including development and maintenance of automated computational workflows.
• Expertise in Large Language Models (LLMs) for biomedical data analysis.
• Demonstrate experience managing and analyzing large-scale Electronic Health Record (EHR) datasets.
• Proven ability to execute retrospective clinical studies including the design and implementation of statistical tests and causal inference modeling.
• Extensive experience working with high-performance computing clusters, parallel processing, and data pipelining.
• Strong analytical and statistical background, with the capability to interpret complex biomedical data accurately.
• Direct experience handling and interpreting large-scale genomics datasets.
• Familiarity with Single Nucleotide Polymorphism (SNP) genotyping arrays, imputation techniques, and SNP panel data.
• Experience with pharmacometabolomic data interpretation, particularly in translational or clinical contexts. 

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal employment opportunity employer.

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

Connections working at University of Michigan - Ann Arbor