Dear All,

This is a final call for our Data Scientist post which closes on 5th
February. If you have data science skills and are interested in working on
precision medicine with a range of UK and EU research consortia, please get
in touch.

Mike


William Harvey Research Institute, Centre for Translational Bioinformatics
 Data Scientist

Our team are working at the intersection of healthcare and technology,
applying machine learning and AI to structured biomedical data warehouses.
To drive forward innovation on all fronts we are looking for a technically
skilled data scientist, with an interest in data wrangling, visualization
and analysis. This is a unique opportunity to be part of the Centre for
Translational Bioinformatics at QMUL, a new and impactful team working
across the translational spectrum with a diverse community of clinicians
and research scientists, involved in disease research, drug discovery,
imaging, clinical trials and healthcare delivery.

To unlock this data for researchers, we are building data warehouses in
eMedLab, a £9m MRC investment in cloud computing. Our team have an open
source / open data ethos and we strongly believe in supporting the open
source software development community, developing data integration tools,
such as tranSMART-I2B2. It will be your task to design and populate these
data warehouses using your technical data management and analysis skills,
in an extended team working with software developers, statisticians and
clinician scientists. Our team are uniquely placed for far reaching impact
working across the dynamic London data science network, including Health
Data Research-UK (www.hdruk.ac.uk) and the Alan Turing Institute(
www.turing.ac.uk). This post is co-funded by two MRC-funded projects
working on Immune mediated inflammatory diseases (IMIDs). CLUSTER is
investigating Childhood Arthritis and Uveitis, while IMID-Bio-UK is a
consortium of scientists who are building a biobank and data warehouse
focused on IMIDs, including RA, Psoriasis, Lupus, Sjogren’s and autoimmune
liver disease.

To be considered for this role you will have good experience in the Linux
environment, including the use of command line utilities for data
wrangling. You should also have demonstrated expertise in one or more of
the following programming languages: Python, Perl, Java or R/shiny R.
Experience with cloud computing, virtualisation and SQL databases including
schema and query design, performance optimization, and security will also
be an advantage. Knowledge of biomedicine is desirable although not
essential, we actively encourage multi-disciplinarity in our team and would
welcome applications from data scientists in other fields.

You will have a good first degree, Masters, or a PhD (or equivalent) in a
data science orientated field with an emphasis on large-scale scientific
data management. The post holder will be expected to play a central role in
evolving and populating the eMedLab cloud data warehouse infrastructure as
well as establishing collaborations with other groups.

This full-time appointment and is funded for 3 years in the first instance.
Starting salary will be in the range £34,522-£40,568 per annum inclusive of
London Allowance. Benefits include 30 days annual leave, defined benefit
pension scheme and interest-free season ticket loan.

Candidates must be able to demonstrate their eligibility to work in the UK
in accordance with the Immigration, Asylum and Nationality Act 2006. Where
required this may include entry clearance or continued leave to remain
under the Points Based Immigration Scheme.

Informal enquiries should be addressed to Dr Michael Barnes at
[log in to unmask]

To apply, please visit the Human Resources website on www.jobs.qmul.ac.uk and
search by post reference number QMUL17446.

The closing date for applications is 5 February 2019

--


*Michael R. Barnes, PhD*Alan Turing Research Fellow
Director of Bioinformatics
Centre for Translational Bioinformatics
William Harvey Research Institute
Barts and The London School of Medicine and Dentistry
Queen Mary University of London
John Vane Science Centre
Charterhouse Square
London
EC1M 6BQ
Phone: +44 20 7882 2059
Email: [log in to unmask]

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