Postdoctoral Fellowship in Computational Bioscience

University of Colorado Anschutz Medical Campus
Computational Bioscience Training Program
USA CO
www.ucdenver.edu/academics/colleges/Graduate-School/academic-programs/computational-bioscience/Pages/home.aspx

Description

We seek highly creative and ambitious Postdoctoral Fellows in Computational Biology.

The Computational Bioscience Program at the University of Colorado is looking to fill multiple competitive postdoctoral fellowship positions, fully funded through the program’s T15 NIH training grant. Applicants will work with one or more program faculty. The Computational Bioscience Program emphasizes building a strong collaborative community, and successful applicants will interact regularly with program faculty, students, and other postdoctoral researchers. We seek postdoctoral candidates who aim to build an independent research agenda. Successful applicants will be initially appointed for one year, with renewals possible for up to a 3-year training period.
Computational Bioscience Program faculty focus on the development and implementation of novel algorithms and computational models, along with the analysis and interpretation of big data in biomedicine. Accordingly, a successful applicant will be experienced in the development, implementation, and application of computational/statistical models and will have a strong interest in developing new methodologies to solve biological and biomedical challenges. Candidates may also translate computational methods developed into wet laboratory research projects through collaborations across all research campuses.

The Computational Bioscience Program is composed of 18 core faculty members at the CU Anschutz Medical Campus as well as CU Boulder, CU Denver, and National Jewish Hospital. Faculty research interests include Genetics and Genomics, Natural Language Processing, Text Mining, Clinical Research Informatics, Molecular Evolution, Neuroscience, Biostatistics, Personalized Medicine, Computational Pharmacology, Microbiome, Cancer Systems Biology, Metagenomics, Molecular Interaction Networks, and Visual Analytics. Further details are at: www.ucdenver.edu/academics/colleges/Graduate-School/academic-programs/computational-bioscience/Pages/home.aspx


Qualifications

The successful applicant will have completed (or be close to completing) a Ph.D. or M.D./Ph.D. in an applied quantitative discipline. This includes, but is not limited to, Computer Science, Informatics, Biostatistics, Population/Evolutionary Genomics, or Applied Mathematics. The applicant should have a strong interest in either basic or translational research. A track record of applying computational and/or statistical models to solve biological problems is desired. Previous experience in common programming languages is needed (e.g., R, Python, C, Java). Candidates with less than three years of postdoctoral training are preferred. Preference will be given to applicants with strong evidence of productivity, creativity, and self-motivation. A track record of conference poster and/or oral presentations, and first author peer-reviewed publications, is expected. Applications are due by April 20, 2018. For inquiries, or to apply, see www.ucdenver.edu/academics/colleges/Graduate-School/academic-programs/computational-bioscience/Pages/postdocs.aspx

Eligible candidates must be a U.S. citizen or hold permanent resident status.


Start date

August 01, 2018

How to Apply

Individuals interested in applying for postdoctoral fellowships should send a statement of research interests, the desired research mentor(s), a list of three references, and a complete curriculum vitae to electronically to Elizabeth Wethington (ELIZABETH.WETHINGTON@UCDENVER.EDU). Further questions can be addressed to Elizabeth Wethington via email or directly at 303-724-7280.

We encourage potential applicants to research faculty members and contact them directly regarding research interests and potential openings within individual laboratories.


Contact

James Costello
james.costello@ucdenver.edu