Researcher/Data Engineer, Centre for Clinical Pharmacolgy
Department: Centre for Clinical Pharmacolgy, William Harvey Research Institute
Salary: £43,602-£44,807 (Grade 5)
Location: Charterhouse Square
Closing date: 20-Nov-2019
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 email@example.com
To apply, please visit the Human Resources website on www.jobs.qmul.ac.uk and search by post reference number QMUL20517.
Application enquiries can be directed to firstname.lastname@example.org
The closing date for applications is 20 November 2019
The School of Medicine and Athena SWAN Charter for Women in Science.
The School of Medicine holds a Silver Athena SWAN Award. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for childcare support. As part of the School’s commitment to the Athena SWAN principles we strongly encourage applications from women.
Valuing Diversity & Committed to Equality