Northern State University invites applications for a full-time, tenure-track
Assistant Professor of Computational Biology.
Qualifications: An earned Ph.D. in Biology, Conservation Biology, or another
closely related discipline, with specialization in one or more of the following
fields: Biostatistics, Bioinformatics, Mathematics, Molecular Ecology,
Conservation Genetics, or Biosystematics; a research focus related to
environmental sciences; demonstrated strong research background and publication
record; demonstrated ability to work within multidisciplinary teams;
demonstrated potential to develop external funding for a research program;
effective interpersonal skills and oral and written communication skills.
Desired Qualifications: Post-doctoral or equivalent experience, Plant
Computational Biology experience, demonstrated grantsmanship (experience with
federal funding agencies preferred), and demonstrated teaching experience. ABD
with a definite completion date may be considered.
Responsibilities: Teach such courses as Biological Statistics, Geographic
Information Science (GIS) and Bioinformatics/Proteomics/Cheminformatics, with
possible expansion to Microscopy, Applied Mathematics, Physics and others,
depending on the expertise of the candidate and departmental needs. The person
in this position will perform innovative research with undergraduate
researchers to address biological questions, specifically those pertaining to
wildlife (plant and animal). Such research would be connected to activities at
the South Dakota State University BioSNTR including cell signaling, analysis of
transcriptional responses, and modeling cell membrane activities as it relates
to animal and plant functional and environmental responses. The successful
applicant will be expected to design experiments and environmental biology
analysis of sizeable data sets and relative workflows from proteomic, genomic,
epigenomic, and/or other high-throughput molecular assays to investigate
hypotheses related to aquatic and terrestrial biome diversity and dynamics.
This person will be expected to share these workflows and data sets with the
greater BioSNTR network and closely collaborate with the BioSNTR team as the
NSU technical representative.
Application: Review of applications will begin immediately and continue until
the position is filled. December 22, 2014 is the anticipated start date. For
more information regarding this position, and to apply, visit:
https://yourfuture.sdbor.edu/applicants/jsp/shared/frameset/Frameset.jsp?time=1411499900015
Click on Northern State University in the Quick Search section. The system
will guide you through the electronic application form. AA/EOE