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Biomedical Data Scientist specialising in Spatial Bioinformatics

The University of Manchester

Manchester
Sur place
GBP 80 000 - 100 000
Il y a 29 jours
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Postes : University Lecturer
Biomedical Data Scientist specialising in Spatial Bioinformatics
The University of Manchester
Manchester
Sur place
GBP 80 000 - 100 000
Plein temps
Il y a 30 jours

Résumé du poste

A leading UK university in Manchester is seeking a Biomedical Data Scientist specializing in Spatial Bioinformatics. The role involves applying computational methods and machine learning for spatial omics and data integration. Candidates should hold a PhD with experience in computational analysis and a strong interest in biology. The position offers an attractive benefits package and the opportunity to work in a cutting-edge research environment.

Prestations

Market leading Pension scheme
Employee health and wellbeing services
Exceptional annual leave entitlement
Paid closure over Christmas
Local and national discounts

Qualifications

  • PhD with a significant computational and/or statistical element.
  • Experience in machine learning.
  • Strong interest in biology and bioinformatics.

Responsabilités

  • Apply computational methods for data analysis from spatial technologies.
  • Develop new computational methods to support scientific aims.
  • Collaborate on projects and publish well-documented tools.

Connaissances

Machine learning
Computational analysis
Bioinformatics

Formation

PhD with a computational/statistical element
Description du poste
Overview

Applications are invited for the post of Biomedical Data Scientist specialising in Spatial Bioinformatics. The post is based in the new Medical Research Council Centre of Research Excellence (MRC CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our genes to cause and exacerbate chronic inflammatory diseases.

Responsibilities

The post-holder will be responsible for applying computational methods for analysis of data from high-resolution spatial technologies, including spatial transcriptomics and proteomics data integrated with clinical data and other high-resolution omics datasets. They will apply cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE's scientific aims, published as well-documented open source tools for wider adoption.

Qualifications

The successful applicant will have a PhD with a significant computational and/or statistical element and will have experience of machine learning. A strong interest in biology and bioinformatics is essential. The candidate should also have a good scientific publication record given career stage and be self-motivated, hard-working and able to work in a team.

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
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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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