The University of Michigan Medical School (UMMS) Biomedical Research Core Facilities (BRCF) and the Department of Computational Medicine and Bioinformatics (DCMB) are seeking a Faculty Director for its well-established Bioinformatics Core. The Core's central mission is to provide bioinformatics support to investigators in the basic and clinical departments of UMMS and in other schools or colleges. The Core represents a vital connection between basic and translational research at the U-M.
The current focus of the Core is to develop and implement computational services to analyze high dimensional biological research data. Major Core functions include study consultation; genomics, multi-omics, and bioinformatics analysis; data storage and organization; data analysis and visualization; delivery of results, and performing related educational activities.
The Faculty Director will be appointed as a tenure-track or tenured instructional-track faculty in DCMB. As a faculty member in DCMB, the Director will maintain an independently funded research program that contributes to the growth of high-throughput molecular data analysis. We believe that such active research is essential for maintaining the Core’s long-term vision, ensuring close connection with cutting-edge methodological development, and upholding scientific rigor for all studies under Core support.
The Faculty Director is expected to create a strategy to initiate, optimize, and expand services needed by the researchers, both routine and custom. Supported by strong administrative staff of the BRCF, the Director will lead a team of professional bioinformaticians, developers, analysts, and IT specialists, to create and constantly update a robust service portfolio, which includes management and analysis of data from microarray, DNA and RNA sequencing, qRT-PCR, ChIP-seq, ATAC-seq and related epigenomic analyses. Such data are typically produced at the U-M DNA Sequencing Core. The Core will also engage with other units in BRCF to integratively analyze metabolomics, genome editing, microbiome, metagenomics, epigenomics and proteomics data. Extensive computational resources and database infrastructure are already in place.
- Established faculty record of publication and extramural funding.
- PhD in bioinformatics, biostatistics, epidemiology, computer science, engineering, or related field. Applicants with a biology or medicine background but extensive subsequent training in data-intensive quantitative research also qualify.
- Postdoctoral experience in statistical analysis of complex 'omics data, preferably in a biomedical research environment. Prior experience in multi-disciplinary collaboration or managing Core support is a plus.
- Demonstrated abilities in research, including technical knowledge, broad understanding of genomic application areas, and evidence of creativity and scientific vision.
- Extensive experience with high-throughput genomics data, including computing experience in a Unix/Linux environment; programming proficiency.
- Ability to communicate clearly, directly, and tactfully with faculty and staff in diverse fields.
- Organizational skills, especially in a multi-tasking environment.
- Demonstrated leadership experience with proven personnel and financial management.
Please send a letter of interest with Curriculum Vitae, statement of research interests, and contact information of three or more references to:
Search Committee, Department of Computational Medicine and Bioinformatics. Job Code 300
The University of Michigan, 2017 Palmer Commons, 100 Washtenaw Ave, Ann Arbor, MI. 48109-2218,
Email: email@example.com. Applications will be reviewed September 2016 until the position is filled.