Informatics Fellows in the RNA Bioscience Initiative

The RNA Bioscience Initiative at the University of Colorado School of Medicine seeks to hire RNA Bioinformatics Fellows.

Two types of positions are currently available:

  1. Positions solely focused on informatic analysis and development
  2. Positions where time is spent both on wet-lab RNA method development and applications as well as informatic analysis and development

The Bioinformatics Fellowships are unique, semi-autonomous postdoctoral positions at the Senior Research Associate Level that provide informatics training with the goal of mastering the large skill set needed for RNA bioinformatics analysis. The Fellows (https://informatics-fellows.rnabio.co/) develop and apply software for the analysis of a variety of RNA sequencing and other experiments focused on:

  • in-depth analysis of single cell sequencing data from multiple modalities
  • characterizing mRNA isoforms generated by alternative splicing and polyadenylation
  • the stability and processing of mRNAs after transcription
  • identifying and characterizing the dynamics of RNA modifications
  • integrating RNA sequencing data with genetic data
  • ribosome profiling and the measurement of small and long non-coding RNAs

Wet-lab project may include:

  • Development of new single-cell sequencing methods
  • RNA-seq analysis of consequences of alterations in nonsense mediated RNA decay
  • RNA-seq approaches to complement ongoing efforts in antisense oligonucleotide therapy development

The fellows have the opportunity to interact with a variety of RNA informatics researchers on campus, and support informatics analysis for the recipients of seed grants provided by the RNA Bioscience Initiative.

The fellows develop and help teach curricula (e.g., graduate level classes and week-long short courses) that promote the use of RNA methods and informatics on the Anschutz campus. Our ideal candidates have a Ph.D. in biological or computer sciences, and wish to expand their training to become proficient in both disciplines. The positions will be for two years with the possibility to extend the fellowship for an additional year. Toward the end of their tenure, Fellows have the opportunity to develop collaborations with faculty in the School of Medicine and liaise with pharmaceutical and biotech companies to secure a stable long-term position in Informatics.

Applicants should submit a cover letter, curriculum vitae and the contact information for 3 people who will provide letters of reference.

Materials should be submitted through CU Careers, posting # 17661

We will begin reviewing applications immediately and the search will remain open until the positions are filled.

Qualifications:

Minimum Requirements:

  • PhD in biological or computational discipline, MS candidates will also be considered
  • Molecular or RNA biology experience for position that includes wet-lab
  • Preferred expertise in R, Python or C++
  • Working knowledge of computational and molecular biology, and high throughput DNA sequencing data analysis
  • Demonstrated ability to teach bioinformatics, computational Biology and/or genomics courses and workshops

Special Notices to Applicants:

The University of Colorado at Denver is committed to providing a safe and productive learning and living community.  To achieve that goal, we conduct background investigations for all final applicants being considered for employment.  Background investigations include a criminal history record check, and when appropriate, a financial and/or motor vehicle history.

The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work. The University of Colorado strongly supports the principle of diversity. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. Alternative formats of this ad are available upon request for persons with disabilities.

Please be advised that the University does check references as part of the employment process, and selection committee members may choose to contact work references other than those listed in your application during the search process.

The University of Colorado is committed to diversity and equality in education and employment.

Jay Hesselberth
University of Colorado School of Medicine
Dept. Biochemistry and Molecular Genetics
E-mail jay.hesselberth@nullgmail.com