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Data Scientist/Bioinformatician

🏢 The University of Manchester 📍 Manchester, England 💼 Company - Public
Currency:
£44,414 - £54,421
£3,701 - £4,535 / mo
Verified Corporate Employer (Authorized Corporate Employer)

This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Manchester, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark

Position Overview & Specifications

We seek a highly motivated Data Scientist or Bioinformatician to work within the Congenital Heart Disease Research group led by Bernard Keavney, British Heart Foundation (BHF) Professor of Cardiovascular Medicine. The post is funded until 31st March 2028 by the BHF. The Keavney group is an international leader in Congenital Heart Disease (CHD) research. CHD is the commonest birth defect which affects around 1% of the population globally. As the adult population with CHD has grown due to effective childhood treatment, survivors are increasingly susceptible to the common diseases of later life; we seek to understand the reasons for this.

The group has recently identified several genes and genomic regions predisposing to CHD through GWAS, whole-exome sequencing, and genome-wide CNV characterisation; updated the global epidemiology of CHD through meta-analysis; and identified novel CHD comorbidities through electronic health record research.

You will contribute (with two other postdoctoral research Bioinformaticians/Data Scientists) to the analysis of large-scale population resources such as UK Biobank, the 100,000 Genomes, the Clinical Practice Research Datalink (CPRD) and our own in-house data. Hypotheses to be tested will involve both genetic and non-genetic data. Therefore, a background either in electronic health record research or human population genomics would be suitable for this post. A strong statistical background (either in statistical genetics or statistical epidemiology) would be an advantage.

You will analyse and integrate datasets with the aim of identifying causative loci, mechanisms, comorbidities and potential interventions in congenital heart disease. You will have the opportunity to develop novel tools and approaches that bear on these problems, implement and deploy new and existing bioinformatics applications, contribute to grant applications and publications, and develop your career towards scientific independence.

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

Blended working arrangements may be considered

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Bernard Keavney

Email: Bernard.Keavney@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.

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

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The University of Manchester

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Location: Manchester, England
Eligibility: Verified Employer Direct Placement
Schedule: Company - Public
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