How to Apply

When applying, please include the following: CV, contact information for references (address, phone and e-mail) and a statement describing your past research experience and future goals.

Summary

The Carey Lumeng Laboratory in the Department of Pediatrics at the University of Michigan is looking for a Bioinformatician-Computational Biologist to assist in the analysis of high throughput sequencing transcriptomic data including single cell RNA sequencing and bulk RNA sequencing datasets.

The Lumeng Lab focuses on the mechanisms by which obesity has a negative impact on health and disease using a range of state of the art approaches in animal models and translational research in humans. Specifically, our laboratory is interested in adipose tissue biology and the relationship between obesity-induced inflammation and metabolic diseases such as type 2 diabetes. The lab collaborates closely with clinical and basic science researchers interested in adipose tissue biology and bioinformatic approaches. Additional information about the lab can be found at http://bit.ly/lumeng-lab.

Projects in the lab relate to the use of single cell and single nuclear RNA sequencing to interrogate cellular diversity in adipose tissue samples using in vivo and in vitro approaches. Experimental approaches include multiomic analysis of single cell data and development of spatial methods in adipose tissue samples. Opportunities for wet bench work experience are available, but will not be the primary responsibility of this position. Bulk RNAsequencing methods are also used in animal models and human samples.

The Bioinformatician will interact with graduate students, post-doctoral fellows, research technicians and faculty to analyze, design and interrogate datasets related to adipose tissue biology.

Mission Statement

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.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

• Excellent medical, dental and vision coverage effective on your very first day
• 2:1 Match on retirement savings

Responsibilities*

Typically analyze large and complex biological, clinical, and/or 'omics datasets using reproducible analysis approaches (e.g. analysis pipelines). With appropriate guidance, use established analysis approaches to answer well-defined research questions. May prepare and present data and analysis results to stakeholders, author/co-author publications and/or present results at conferences. Employees typically analyze, compare and evaluate various courses of action and have the authority to make independent decisions on matters of significance, free from immediate direction, within the scope of their responsibilities. Primary activities and decision making authority are predominantly performed independently affecting business operations to a substantial degree.

Specific duties include:

• Perform analysis of next-generation sequencing datasets including single cell/nuclear RNA sequencing data, bulk RNA sequencing data using existing tools.
• Coordinate data storage and management for next generation sequencing data
• Participate as a team member in experimental design and data analysis
• Draft and publish manuscripts related to the project and scientific results
• Collaborate with research and bioinformatic faculty on projects

Required Qualifications*

• Employees in this classification are required to have a minimum of a Bachelor degree in a recognized field of science or learning which is directly related to the duties of the position.
• Experience in at least two domains characteristic of the bioinformatics, including at least one biological/biomedical/clinical science and one quantitative/informatics/computing science, with aptitude for others
• Proficiency in R and/or Python.
• Excellent verbal and written communication skills.
• Excellent capacity to work with others in a collaborative environment.
• Ability to implement and interact with high-performance computing clusters

Desired Qualifications*

• Experience in designing, developing, and maintaining bioinformatic pipelines single cell and bulk transcriptomic analysis in packages such as Seurat, bioconductor, or DESeq2.
• Masters degree in data science, computer science, bioinformatics or related fields.

Background Screening

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.

Application Deadline

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.

Vaccine Requirements

COVID-19 vaccinations are required for all students, faculty and staff working in the following areas: Michigan Medicine including the Medical School, Dental School, University Health Service or the Mary A. Rackham Institute. This includes those working remotely and temporary workers. More information on this new policy is available on the U-M Health Response.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.