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Research Assistant/Research Associate* - Multi-Omic Health Data Analysts x 2 (Fixed Term)
  • Python
  • Java
  • Excel
University of Cambridge
116 days ago

Research Assistant - £26,715 - £30,942

Research Associate* - £32,816 - £40,322

We are currently seeking two talented and highly motivated postdoctoral data analysts to join our team at the Cambridge hub of Health Data Research UK (HDR-UK), based at the Department of Public Health and Primary Care (DPHPC). The posts will suit ambitious researchers who are interested in applying their quantitative skills to rich multi-omic datasets to address challenges related to population health.

The primary role of the first post-holder will be to conduct applied analyses in the recently established HDR-UK national multi-omics project, which comprises more than a dozen population health cohorts (including >800,000 participants from across the UK), in whom genetic data, electronic health record data and several multi-omics assays have been conducted. Particular focus is on integrating proteomic and metabolomics data across assay platforms and across multiple cohorts to address questions relating to disease aetiology. The position will be supervised by Dr. Adam Butterworth (Reader in Molecular Epidemology) who leads the national multi-omics project, with support from Dr Praveen Surendran (HDR-UK Fellow) and other senior molecular scientists. The post-holder will also work closely with other researchers at collaborating institutes in the project, including Imperial College, University College London and the MRC Epidemiology Unit.

The second post-holder will primarily design and implement analytical strategies across the world-leading multi-omic data available in the HDR-UK Cambridge site, including the UK Blood Donor Cohorts (currently ~100,00 consented participants) in whom genome/exome sequencing, transcriptomics, proteomics, metabolomics, lipidomics and other novel assays have been conducted. Participants are linked to electronic health records, allowing the evaluation of the role of multi-omic data in a wide range of diseases and health outcomes. The position will be supervised by Dr Michael Chapman (Director of Health Informatics) and will also work closely with other senior scientists across HDR-UK Cambridge. The work of both post-holders is expected to lead to high-impact first author publications.

HDR-UK is a national partnership involving DPHPC and many other Universities and Health Data providers around the UK. HDR-UK's major focus is on making wider use of Health Data to improve research outcomes and improve the health of the UK. The Cambridge hub of HDR-UK is responsible for the Understanding Causes of Disease theme, which comprises several flagship national projects relating to disease aetiology. The post-holders will collaborate closely with an interdisciplinary team of scientists from across the Cambridge hub, including key groups at the Wellcome Sanger Institute (e.g. the group of Prof. Nicole Soranzo) and the European Bioinformatics Institute (e.g. the group of Dr Helen Parkinson).

More information about our collective interests and activities can be found at (HDR-UK Cambridge),, and

Essential Qualifications/Skills*:

  • PhD in a quantitative field such as Biostatistics, Statistics, Epidemiology, Quantitative/Statistical Genetics or equivalent qualifications or equivalent experience
  • A sound understanding of statistical concepts.
  • Strong quantitative analysis skills using statistical programming packages such as R.
  • Experience conducting complex analyses using large datasets
  • Experience of handling and analysing high-dimensional datasets (e.g. use of variable selection methods)

Desired Knowledge/Skills:

  • Experience of developing novel computational methods and software.
  • Experience with programming and scripting languages (e.g. C, C++, Java, Python).
  • Previous experience of multi-omic data (e.g. genetics, proteomics, transcriptomics and/or metabolomics).

In addition to these skills, the post-holder should also be able to work independently judging priorities and have excellent organisational and communication skills.

  • Appointment at research associate is dependent on having a PhD (or equivalent experience is recognised), including those who have submitted but not received their PhD. Where a PhD has yet to be awarded or submitted appointment will initially be made at research assistant and amended to research associate when the PhD is awarded. If an individual has not submitted a PhD or is not working towards one they could be appointed as a Research Assistant if they have either a degree (degree and/or Masters) in a relevant area or equivalent experience.

The funds for this post are available until 31st March 2022.

The post-holder will be based at Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN (approx. 2 miles south of city centre)

Informal enquiries can be made to Dr Adam Butterworth by email (

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Closing Date: 29th July 2020

Interview Date: Week commencing 10th August 2020

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference RH23375 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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