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 contact information of 3 work-related references is also required.
The Spence laboratory is part of the Department of Internal Medicine, the Department of Cell and Developmental Biology and the Department of Biomedical Engineering at the University of Michigan Medical School. We are recruiting a highly motivated computational biologist/bioinformatician/data analyst to join our research team, and to support ongoing work aimed at understanding human development. Our research seeks to understand development, cellular heterogeneity, cell-cell communication and progenitor/stem cell regulation, and implements a variety of high throughput sequencing technologies, including bulk and single cell RNA sequencing, DNA sequencing and ATAC sequencing.
The Spence lab is a highly energetic and collaborative group made up of undergraduate and graduate students, postdoctoral fellows and staff scientists. We conduct team-based science, while fostering and encouraging intellectual independence and creative approaches to addressing biological questions. As a laboratory, our whole team is committed to fostering a safe, peaceful and respectful environment for everyone to work towards common scientific goals. We actively support a diverse workforce.
Specific Duties for the position include:
1. In collaboration with other lab members, job duties include generating and analyzing large and complex biological datasets using reproducible analysis approaches (e.g. analysis pipelines).
2. Job duties also include staying current with emerging analytical/computational approaches and implementing new data analysis tools.
3. The position requires preparation and presentation data to lab members and collaborators and will include contributing to publications.
• Masters degree in informatics, biostatistics or similar. • Experience with analysis of high throughput sequencing data. Single cell experience preferred. • Some training in cell or developmental biology is preferred, but not essential. • Excellent organizational and time management skills. • Ability to work independently and as part of a team. • Contribute to the completion of project goals in a timely manner. • Have mastery of one or more scripting/programming languages (R and Python preferred). • Excellent written and verbal communication skills, as well as interpersonal skills contributing to a strong team environment are required.
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.
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. 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: 162393
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.