Postdoctoral Scholar - Long Lab

Location
Irvine, CA
Posted
Mar 21, 2017
Institution Type
Four-Year Institution
  • Francisco J. Ayala School of Biological Sciences - Ecology & Evolutionary Biology


  • RECRUITMENT PERIOD



    Open date: January 18th, 2017

    Last review date: March 31st, 2017
    Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

    Final date: June 30th, 2017
    Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


    DESCRIPTION


    Postdoctoral scholar positions are available in the laboratory of Dr. Anthony Long at University of California, Irvine.

    Areas of research: 1) Genomics and Bioinformatics related to the Drosophila Synthetic Population Resource (DSPR), 2) Experimental evolution in sexual outbred yeast, 3) A heterogeneous stock paradigm for dissecting complex traits in Peromyscus leucopus a major host of Lyme disease.

    Description of duties: Take advantage of the intellectual environment here at UCI in concert with the data we are collecting to establish yourself as an independent investigator. We are carrying out large-scale RNAseq & ATACseq experiments and assembling de novo (PACBIO) genomes for DSPR flies. Our goal is to leverage these data in order to allow investigators using the DSPR to routinely move from QTL mapped to cM sized intervals to candidate causative polymorphisms (and perhaps structural variants). We are experimentally evolving 384 populations of sexual outbred yeast to address the question of how evolution happens at the molecular level in outbred sexuals. We have a genome assembly for Peromyscus leucopus and are phenotyping mice from a 30 year old multi-parent colony for traits related to their ability to serve as a host for Borrelia and other pathogens. Colony mice have patterns of LD and haplotype variation that in many ways makes them look like DSPR flies (or collaborative cross mice). We hypothesize the unique properties of this population will allow us to map host property QTL to sub centimorgan scales.

    Salary: $50,000/year in the first year. Salary is adjusted in subsequent years according to the NIH salary scale.

    Required qualifications include a recent PhD in evolution, genetics, bioinformatics or a related field. The ideal candidate would have a background in population/quantitative/statistical genetics with an ability to work with big data. Consideration will be given to any motivated applicant interested in evolutionary genomics. A first author publication demonstrating your ability to carry a project from conception to completion is likely a pre-requisite for success.

    Qualified candidates should submit curriculum vitae, the names and contact info of three references, and a cover letter explaining the candidate's interest in the position and overall research aims and accomplishments to the following on-line recruitment URL:

    https://recruit.ap.uci.edu/apply/JPF03844

    For more information about this position contact Dr. Tony Long (tdlong@uci.edu).

    The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
    Job location Irvine, CA

    REQUIREMENTS

    Documents
    • Curriculum Vitae - Your most recently updated C.V.
    • Cover Letter
    • Statement of Research (Optional)
    • Statement of Teaching (Optional)
    • Statement of Contributions to Diversity - Statement addressing how past and/or potential contributions to diversity will advance UCI's Commitment to Inclusive Excellence. (Optional)
    • Misc / Additional (Optional)
    References
    3-5 references required (contact information only)


    HOW TO APPLY

    1. Create an ApplicantID
    2. Provide required information and documents
    3. If any, provide required reference information

    Get started: press Apply Now

    PI97237993