Website University of York

PDRA Computational Glycobiologist

Job Summary Table of PDRA Computational Glycobiologist

AttributeDetails
Job TitlePDRA Computational Glycobiologist
Visa SponsorshipInfo not available
Company NameUniversity of York
CountryUnited Kingdom
LocationYork, UK
Salary Range£36,924 – £39,105 per year
Job TypeFull-time
DepartmentBiology
Experience LevelEntry-level
Education RequirementsPhD or equivalent
Skills and ExpertiseComputational biology, programming, data analysis, glycobiology, collaboration
Posting Date05/11/2024
Job Expires06/12/2024
SourceUniversity of York Jobs
Apply LinkApply Now

Job Description Summary

The Department of Biology at the University of York is seeking an enthusiastic postdoctoral research associate to join the team of Professors Jamie Wood and Daniel Ungar. The successful candidate will perform computational simulations to complement experimental efforts in developing a new in vivo glycan engineering method.

Responsibilities

  • Perform computational simulations using experimentally determined mammalian glycan structure data
  • Fit simulated glycan profiles to experimental data using proprietary software
  • Adapt and implement the modeling method to accommodate glycosylation inhibitors designed by chemists
  • Use the trained model to generate predictions of glycan engineering strategies for experimental testing
  • Liaise with the interdisciplinary team across the UK and Europe to progress the project

Benefits and Perks

  • Competitive salary of £36,924 – £39,105 per year
  • Opportunity to work on an innovative, interdisciplinary project
  • Access to state-of-the-art computational research facilities
  • Flexible working arrangements (e.g., flexitime, part-time)
  • Inclusive and diverse work environment

Company Overview

The University of York is a leading research-intensive university located in the historic city of York, UK. The Department of Biology is home to a vibrant community of researchers working on a wide range of topics, from molecular and cellular biology to ecology and evolution.

Company Culture

The University of York is committed to creating an inclusive and supportive work environment. Employees have access to a range of family-friendly policies, flexible working arrangements, and professional development opportunities. The university also actively promotes diversity and equality, with forums and inclusive facilities to support its staff.

Career Growth Opportunities

This postdoctoral position offers an excellent opportunity for early-career researchers to develop their skills in computational biology and gain valuable experience working on an interdisciplinary project. Successful candidates may have the opportunity to progress their academic or industry careers within the field of glycobiology.

Diversity, Equity, Inclusion, and Belonging

The University of York is dedicated to creating a diverse and inclusive work environment. The university particularly encourages applications from people who identify as Black, Asian, or from a Minority Ethnic background, as they are currently underrepresented at the institution.

Equal Opportunity Statement

The University of York is an equal opportunity employer and is committed to non-discrimination in its hiring and employment practices.

Remote Work Policy

This position is based on-site at the University of York campus.

Application Process

  1. Review the job description and requirements.
  2. Prepare a cover letter and CV highlighting your relevant experience and qualifications.
  3. Submit your application through the University of York’s job portal before the deadline of 6 December 2024.

Application Deadline

6 December 2024

How to Apply

To apply for this position, please visit the University of York job portal at https://jobs.york.ac.uk/vacancy/pdra-computational-glycobiologist-572416.html and follow the application instructions.

FAQs or Additional Information

For informal inquiries about the role, please contact Professor Jamie Wood (jamie.wood@york.ac.uk) or Professor Daniel Ungar (dani.ungar@york.ac.uk).

The interview date for this position is scheduled for 8 January 2025.

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