Postdoctoral Researcher – Animal Genetics and Multi-omics

    • Application Deadline
      Deadline:
      20 June 2023
      (application date has expired)
    • Job Salary
      Salary: £35,267 - £40,835 per annum
    • Website
    • Contact Name
      Contact:
      Dr Bingjie Li


    Type: Full-Time, Fixed Term (2.5 years)

    Location: SRUC Roslin Institute Building, Edinburgh, UK

    Salary: £35,267 - £40,835 per annum

    REF: ACF/CRC/014/23

    An exciting new post is available in the Animal Genetics and Breeding team in SRUC (Edinburgh Campus), UK. We are looking for a postdoctoral researcher to join our team and work on our BBSRC-funded project of “Integrating genomics and transcriptomics to empower dairy breeding for feed efficient animals”.

    The postdoctoral researcher will conduct research to decipher genetic background of complex traits related to feed efficiency in dairy cattle using multi-omics data (e.g., whole-genome sequence, RNA-seq, etc.), and the potential of using identified functional variants into breeding. The research is not limited to feed efficiency as the postdoctoral researcher will have extensive opportunities to work on many other complex phenotypes (e.g., health, production, fertility) upon his/her interests. The successful applicant will have access to massive dairy cattle data in the UK and has opportunity to work on the International Farm Animal Genotype-Tissue Expression project (FarmGTEx) database to deliver understanding of livestock complex-trait genetics that fits into his/her career development.

    The research builds on our previous research on animal genetics, genomics, and transcriptomics (e.g., Liu et al. 2022, Nature Genetics; Li et al. 2020, Journal of Dairy Science; Fang et al., 2020, Genome Research; Li et al. 2019, Journal of Dairy Science). The postdoctoral researcher will benefit from being part of a great research team of world-renowned animal geneticists in the UK closely link to the UK national dairy cattle genetic and genomic evaluation, collaborating with top scientists at University of Edinburgh, University of London, University of Liverpool, Aarhus University, and USDA.

    Essential skills:
    - PhD or equivalent relevant experience in a relevant discipline (e.g., quantitative genetics, animal genetics/genomics, animal breeding, bioinformatics, computational biology, functional genomics, etc.); completed or near completion.
    - Experience in analyzing sequence data.
    - Experience in programming and familiar with Linux/Unix operating systems.
    - Good writing and communication skills in English.

    Application closing date: June 20th, 2023

    Preferred starting date: September 2023 (negotiable)

    Benefits / What you will get in return
    • Enhanced holidays
    • Enhanced pension contributions (5% employee and 10% employer opposed to 5% employee and 3% employer)
    • Cycle to work scheme
    • RAC Membership
    • Enhanced family leave
    • Flexible working patterns
    • Hybrid working solutions (in some areas)
    • Tailored investment in and individuals' learning and development

    Please feel free to contact Dr. Bingjie Li ([email protected]) for informal inquiries.

    Apply
    To apply for this role, please use the link of SRUC List of Vacancies here (https://www.sruc.ac.uk/connect/jobs/list-of-vacancies/) and apply to the post of “Postdoctoral Researcher (Animal Genetics and Multi-omics) - Edinburgh” using the SRUC online application system.


    About SRUC
    Scotland’s Rural College (SRUC) leads UK research underpinning development of sustainable, economically viable, and environmentally and socially friendly systems of livestock production. Our ambitious and exciting vision is to work at local, national and international levels, leading innovation and sustainable development in agriculture and rural sectors. The SRUC hosts the national centre for the genetic and genomic evaluation for livestock species, driving advances in animal genetic research and facilitating research outcome delivered to animal improvement schemes.


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