Post-Doctoral Fellow

Job description

DescriptionUniversity of Colorado – School of Medicine Post-Doctoral FellowThe University of Colorado Denver l Anschutz Medical Campus seeks individuals with demonstrated commitment to creating an inclusive learning and working environment.  We value the ability to engage effectively with students, faculty and staff of diverse backgrounds.

Overall Description of Responsibility or Nature of Work
The research in the Schwartz/Yang Lab focuses on understanding how environmental stimuli affect health through genetic and epigenetic mechanisms. State-of-the-art techniques, including next generation sequencing, CRISPR genome editing, and transgenic animal models are used to accomplish these goals.  We are looking for an individual interested in developing skills in computational functional genomics. This individual will work under joint mentorship of Drs. David Schwartz and Ivana Yang.

Areas of Responsibility / Scope of Research
This individual will work on a project aimed at identification of molecular signatures of genetic variants associated with pulmonary fibrosis. Implementation of state of the art multi-omic integration and network analysis methodology to multiple -omic datasets, including single cell transcriptome data, from lung tissue and isolated cell populations will be required.

Competencies & Skills:

  • Excellent communication skils
  • The ability to work in a supervised/mentored research environment
  • Demonstrated expertise in presentation of results – both didactic and publications
  • Must be able to work independently and have advanced problem solving skills
Special conditions of employment:

  • Must be willing and able to work after hours when required by project deadlines.
Salary and Benefits:Salary is commensurate with skills and experience. The University of Colorado offers a full benefits package. Information on University benefits programs, including eligibility, is located at Employee Services.University of Colorado Denver | Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background checks for all new employees prior to their employment.

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. Alternative formats of this ad are available upon request for persons with disabilities.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Benefits: Compensation Calculator: Diversity and Equity:Please click here for information on disability accommodations: The University of Colorado Denver | Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. The University of Colorado is committed to diversity and equality in education and employment.

QualificationsMinimum Qualifications:

  • PhD in a biological discipline, bioinformatics, or biostatistics
  • Minimum of 2 years of mentored research
Preferred Qualifications:

  • Computational skills to compile and analyze data, including advanced skills in utility programming (Python or similar language) and working in a Linux environment (bash, awk, etc.) on a cluster
  • Advanced skills in high-throughput data analysis and familiarity with widely used genomic databases and software including R and Bioconductor
  • Proven experience and familiarity in analysis of human omic datasets, especially single cell analysis
Applicants must meet minimum qualifications at the time of hire. 

Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: Oct 1, 2020
Unposting Date: Ongoing




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Job No:
Posted: 10/2/2020
Application Due: 12/1/2020
Work Type: