Research Assistant - £25,728 - £30,688
Research Associate - £31,604 - £38,833
An exciting opportunity has arisen for a statistician with a background either in the field of genetics or epidemiology at Research Assistant/Research Associate level to contribute to an interdisciplinary research program focused on investigating genetic markers involved in iron metabolism and the development of iron deficiency in chronic heart failure patients.
The post is funded by the IMI BigData@Heart (https://www.bigdata-heart.eu/), primarily based in the Cardiovascular Epidemiology Unit, University of Cambridge and in close collaboration with the pharmaceutical company, Vifor Pharma (www.viforpharma.com), Switzerland. The position will offer training and experience in both academic and industry environments.
Iron deficiency is prevalent in up to 50% of chronic heart failure patients and it has been shown that such patients have worse clinical outcomes. Supplementation with intravenous iron has been shown to improve quality of life, cardiac function and re-hospitalization rates in chronic heart failure patients. The aim of this project is to identify genetic markers found in chronic heart failure patients with concomitant iron deficiency which then might be predictive of improvement in cardiac function and clinical outcomes following treatment with intravenous iron as well as markers predisposing individuals to the development of iron deficiency and/or chronic heart failure.
The post holder will have access to exceptional world-leading large-scale studies, including access to blood OMICS e.g. proteomics, metabolomics and lipidomics, genotype array data in approximately 50,000 individuals within the INTERVAL study and clinical studies from Vifor Pharma.
Candidates should (i) hold a Masters or PhD in Statistics (or have equivalent qualifications) or a relevant subject or be in the final stages of obtaining their PhD or have equivalent experience; (ii) have experience in analysis of large complex epidemiological datasets; (iii) have experience of genetic association analysis and; (iv) have excellent verbal and written communication skills.
Appointment at Research Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be awarded 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 (and/or Master's) in a relevant area or equivalent experience.
The funds for these posts are available for 2 years.
Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN (approx. 2 miles south of city centre).
Informal enquiries can be made to Dr Angela Wood via e-mail email@example.com
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Closing date: 31st July 2018
Interview Date: week commencing 6th August 2018
Please ensure that you upload your Curriculum Vitae (CV) and a covering letter 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 e-mail address and phone number, one of which must be your most recent line manager
Please quote reference RH16050 on your application and in any correspondence about this vacancy.
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