Research - Laboratory/Non-Laboratory, Staff/Administrative
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Department of Cell & Developmental Biology at the University of Michigan Medical School (Ann Arbor) is seeking a highly skilled and motivated Bioinformatician-Computational Biologist Associate/Intermediate. This is a full-time position, where the selected candidate will serve as a departmental Bioinformatics resource working with multiple faculty and trainees within the department. We are particularly interested in hiring an individual with demonstrated expertise in analyzing high-throughput molecular data sets (e.g., tissue and single cell transcriptomics, and proteomics). Interested candidates should submit a CV, three references along with a 1-page statement of interest in this opportunity.
Assess and analyze needs of department customers, including developing appropriate protocols, writing reports, and delivering results to the customer.
Develop a knowledge for biological problems being investigated in the department and of the computational tools best suited to their study
Guide PIs and trainees in department on bioinformatics analyses
Communicate with PIs and trainees before, during and after analysis to educate and ensure the customer has an accurate understating of both the data and the analysis
Prepare summary presentations of the results (e.g., methods, data quality, biological interpretation, graphics) suitable for publication
Continue professional development by regularly reviewing bioinformatics literature, learning new methods, skills, and techniques in bioinformatics
Associate: Bachelor of Science degree and three years of experience or a Master of Science degree and 0-3 years of experience.
Intermediate: Master of Science degree and three years of experience or PhD.
Experience analyzing high throughput data
Excellent organizational and time management skills
Experience building reproducible scientific workflows
Ability to work independently and as part of a team
Demonstrated customer service experience including contribution to the completion of project goals in a timely manner
Familiarity with a range of publicly available bioinformatics resources, file formats, and tools and have mastery of one or more scripting/programming languages (Python and R preferred)
Excellent written and verbal communication skills, as well as interpersonal skills contributing to a strong team environment are required
Ph.D. or equivalent experience in an applicable field is strongly preferred
Experience with a subset of genomics data or single cell analysis.
Laboratory research experience in a life science domain
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
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.
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 169628
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.