Position Summary:

The Center for Advanced Biotechnology and Medicine (CABM) at Rutgers University seeks an outstanding candidate for a tenure-track Assistant Professor faculty position with expertise in Microbiome Bioinformatics. CABM, founded in 1985, has an outstanding track record in fundamental biomedical research and includes faculty within Rutgers Biomedical and Health Sciences (RBHS) and Rutgers–New Brunswick. This position can have a tenure home in one of many departments in the Schools comprising Rutgers Biomedical and Health Sciences (RBHS). The successful candidate will be provided with a competitive startup package, access to high-performance computing clusters and other core resources, and modern laboratory space at CABM, and will be expected to develop and maintain a strong, externally funded research program, and participate in collaborative projects with other Departments and Institutes on the Rutgers campus. Major duties and responsibilities include developing a robust research program to conduct a broad range of microbiome studies, including studies related to human health, development, and disease. Applicants with translational research interests relevant to metabolic disorders, cancer, or neurological disease are encouraged to apply. Research involving microbiome-derived drug discovery, related computational research for systems biology and/or network modeling, and extensions into plant, animal and environmental systems also is of interest. Although the major focus is bioinformatics development, having a wet-laboratory based program for data generation and analysis also could be desirable within the bioinformatic context. The successful candidate will also be expected to support the educational goals and activities of Rutgers University through teaching and service, including participation in the teaching of professional, graduate, and undergraduate students, and mentorship of trainees. The successful candidate will gradually assume teaching responsibility commensurate with the teaching load of other tenure-track faculty in the department. Salary will be commensurate with experience. Women and minorities are encouraged to apply.

Minimum Education and Experience:

Requires a Ph.D. or equivalent graduate degree in Computational Biology, Mathematics, Evolutionary Biology, Molecular Biology, or a related discipline with at least 3 years postdoctoral research experience related to the microbiome or related field, a demonstrated record of significant research, the potential to make substantial contributions as an independent investigator, and a commitment to teaching professional, undergraduate, and graduate students. Junior candidates with current grant funding or grants under review are preferred. Prior experience in obtaining external support for large-scale computation, and the development and maintenance of shared data analytics services is also desirable. In addition, this position requires excellent presentation skills, strong technical writing skills, and proficiency in using informatic platforms for data analysis. The demonstrated ability to develop bioinformatic tools, and lead tool development projects, including computational pipelines, and build reference databases is critical. An outstanding publication record, consistent with the candidate's training and experience is required. Must possess expertise and technical skills necessary to successfully conduct studies involving: 16S rRNA, sequencing, metagenomics, metabolomics, and studies of expression of individual genes and pathways, and whole genome-wide analytical tools.

Required Knowledge, Skills, and Abilities:

Strong operational knowledge of bioinformatic platforms used in the analysis of microbiome and metagenomic data, as well as the ability to develop new software for analysis and pipelines is required.

Equipment Utilized:

Equipment utilized may include robotic liquid handling platforms.

Physical Demands and Work Environment:

Dry-laboratory environment. Some local travel required to attend meetings and conferences.

Posting Number: 21FA0168

Location: Piscataway (RBHS)