

Senior Biomedical Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Biomedical Data Scientist, offering a hybrid work location, with a contract length of over 6 months and a competitive pay rate. Key skills include expertise in omics data analysis, machine learning, and a PhD in a relevant field.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
264.6590909091
-
ποΈ - Date discovered
September 4, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
Fixed Term
-
π - Security clearance
Unknown
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π - Location detailed
Manchester M13 9PL
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π§ - Skills detailed
#Datasets #ML (Machine Learning) #Data Science
Role description
Applications are invited for the post of Senior Biomedical Data Scientist, 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.
You will be the Manchester-based lead for computational analysis of omics data produced by the CoRE. You will co-lead development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue atlases along with computational models to characterise the effect of exposures on different tissues in humans and model systems. You will have a PhD with a significant computational and/or statistical element, expertise in analysis of omics data and experience of machine learning. A strong interest in biology is essential and you should be self-motivated, hard-working and able to lead a team.
What you will get in return:
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
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.
Our University is positive about flexible working you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CVβs submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Magnus Rattray
Email: magnus.rattray@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
Applications are invited for the post of Senior Biomedical Data Scientist, 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.
You will be the Manchester-based lead for computational analysis of omics data produced by the CoRE. You will co-lead development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue atlases along with computational models to characterise the effect of exposures on different tissues in humans and model systems. You will have a PhD with a significant computational and/or statistical element, expertise in analysis of omics data and experience of machine learning. A strong interest in biology is essential and you should be self-motivated, hard-working and able to lead a team.
What you will get in return:
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
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.
Our University is positive about flexible working you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CVβs submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Magnus Rattray
Email: magnus.rattray@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.