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Research Associate

The University of Manchester

Manchester

Hybrid

GBP 30,000 - 40,000

Full time

Today
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Job summary

A prestigious university in the UK seeks a highly motivated postdoctoral molecular life scientist researcher to study protein aggregation. Candidates should have a PhD in biological science and possess strong skills in molecular biology and computational analyses. The position involves both lab work and data analysis, alongside flexible hybrid working arrangements. Excellent benefits included.

Benefits

Market leading pension scheme
Employee health and wellbeing services
Exceptional leave entitlement
Local discounts at major retailers

Qualifications

  • Strong background in molecular biology and computational analyses.
  • Prior research experience with protein aggregation and chaperones.

Responsibilities

  • Study protein aggregation's role in PQC mechanisms.
  • Employ molecular biology and biochemical techniques.
  • Analyze proteomic data computationally.

Skills

Molecular biology
Computational analysis
Biochemical techniques
Yeast molecular biology

Education

PhD in biological science
Job description
Position Overview

We seek a highly motivated postdoctoral molecular life scientist researcher to study protein aggregation and the role of chaperones in the organized sequestration of misfolded proteins. The position will involve the use of a wide-range of molecular and cell biological approaches including recombinant DNA technology, fluorescent microscopy and proteomic techniques to assess how protein aggregation acts as a protein quality control (PQC) mechanism in eukaryotic cells.

Responsibilities

Study protein aggregation and its role in PQC mechanisms using yeast Saccharomyces cerevisiae as an experimental model, employing yeast molecular biology and biochemical techniques, proteomics and microscopy approaches, combined wet-lab work and computational analysis of proteomic data.

Qualifications

PhD (or equivalent) in biological science with a strong background in molecular biology and computational analyses. Prior experience and suitability for the role must be clearly evidenced.

Benefits
  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers
Additional Information

Hybrid working arrangements may be considered.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Please be aware that due to the number of applications we are unfortunately not able to provide individual feedback on your application.
This vacancy will close for applications at midnight on the closing date.

Contact

Name: Professor Chris Grant.
Email: chris.grant@manchester.ac.uk

General enquiries:
Email: People.recruitment@manchester.ac.uk

Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home

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