Job opportunities

Postdoctoral Fellowship

in Computational Bioscience

The Computational Bioscience Program at the University of Colorado, School of Medicine anticipates four openings in July 2012 for NLM (NIH) funded postdoctoral fellowships. Postdoctoral trainees are recruited directly into the participating faculty laboratories. Applicants whose interest aligns with Drs De Görg, Leach, and Cohen (see below) will be given special consideration . The Computational Bioscience Program is home to twelve core faculty working in the areas genomics, visualization, text mining, knowledge representation, network analysis, molecular evolution, phylogenetics, statistical methods, microarray, biomedical ontology, and other areas.  The School of Medicine is home to a broad array of outstanding research and instrumentation, including extensive DNA sequencing and microarray facilities, and more. We are housed on the first all-new medical campus of the 21st century, close to both the urban amenities of Denver and the beautiful Rocky Mountains. 

QUALIFICATIONS: Candidates must have a Ph.D. degree and be U.S. Citizens or Permanent Residents.

SALARY/BENEFITS: Successful candidates will be offered the NRSA specified stipend (based on years of experience), medical insurance, $2000 per year in travel support and $6500 per year in additional research-related expenses.

DURATION: The initial appointment will be for a one-year period, with the possibility of a yearly extension to up to three years based upon performance.

TO APPLY: Send to Kathy.R.Thomas@ucdenver.edu a cover letter, curriculum vitae, and a statement of research interests; also arrange for three letters of recommendation to be sent to the same email address.

UC Denver is an equal opportunity employer. Women and minorities are especially encouraged to apply.

Dr. De is seeking a postdoctoral fellow to develop methods for analyzing next generation genomics and epigenomics data, and would also analyze large genomic datasets particularly in the context of human diseases such as cancer. The ideal candidate will have a strong background in bioinformatics. Strong programming skills (with R, C++, perl, python etc), experience of working in Unix/Linux environment, and some experience with the statistical analysis using R or Matlab are required. Previous experience of working with large genomic datasets in an interdisciplinary environment is a plus. The candidate would contact subhajyoti.de@ucdenver.edu for questions about the position or the program.

Dr. Görg is seeking a postdoctoral fellow to conduct interdisciplinary research in biological data visualization. The ideal candidate has a background in information visualization or visual analytics, and experience in visualizing and analyzing structured data, such as networks, as well as unstructured data, such as textual documents. Strong programming skills in Java and web-based graphics are also required. DeDomain knowledge in biology is not required but highly beneficial. Non-technical skills include excellent oral and written communication skills and a willingness to collaborate in an interdisciplinary environment and acquire domain knowledge in biology. The candidate will have the opportunity to develop his/her research, publication, and presentation skills under mentorship from Dr. Görg. Contact Carsten.Goerg@ucdenver.edu for questions about the position or the program.

Dr. Leach is seeking a postdoctoral fellow to develop methods for interaction-network analysis and integration of 'omics datasets to aid in elucidating biological mechanisms from experimental datasets. The ideal candidate has a strong computational background in high-throughput data analysis of genomic-scale datasets (transcriptomic, proteomic, metabolomic), particularly in the context of protein or metabolite interaction networks. Strong skills working in a Unix/Linux enviroment is also required. The candidate would collaborate with researchers and clinicians at National Jewish Health to develop tools to create and mine interaction networks from multiple
'omics datasets. Experience with metabolomics is a plus. Contact leachs@njhealth.org for questions about the position or the program.

Dr. Cohen is seeking a postdoctoral fellow to conduct work involving negation, temporality, and information extraction, among others. The ideal candidate will have experience with genomics journal articles, clinical text and medical records and a background in rule-based systems and machine learning. Desirable skills include: programming in Java and a scripting language, software testing skills, and experience with UIMA. Past participation in BioCreative and TREC is also a plus. Contact Kevin.Cohen@gmail.com for questions about the position or other program.