Please see below a Health Data Research UK Data Engineer post we are hiring
at QMUL. This is a great opportunity for individuals who are interested in
using their technical skills to manipulate and analyse biomedical data at
scale using data science tools and data warehouse infrastructure.
Closing date for applications is 20th Nov 2019.
Mike
William Harvey Research Institute
Centre for Translational Bioinformatics
Data Engineer / Researcher
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 engineer / software developer, with an interest in data
wrangling, visualization and warehousing. 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, with plugins for data visualisation such as
Fractalis. It will be your task to design and implement these data
warehouses using your technical software development and data engineering
skills, in an extended team working with data scientists, computational
biologists and clinician scientists. Our team are uniquely placed for far
reaching impact working across the dynamic London data science network,
including the post funders Health Data Research-UK (www.hdruk.ac.uk) and
our partner the Alan Turing Institute (www.turing.ac.uk).
To be considered for this role you will have good experience in the
development of software and data warehouse environments to support machine
learning (ML) and artificial intelligence (AI) based on integration of data
from Omics, imaging, health record and text sources. You will also be
involved in the development of pipeline environments to broaden the impact
of ML/AI, e.g. using Tensorflow and Keras. 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 £43,602-£44,807 per annum inclusive of
London Allowance. Benefits include 30 days annual leave, 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 Professor 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 QMUL20517.
The closing date for applications is 20 November 2019.
--
*Michael R. Barnes, PhD*
Professor 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]
https://www.qmul.ac.uk/c4tb/
https://twitter.com/QMUL_C4TB
https://twitter.com/thebarneslab
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