Back to search results

Research Fellow Data science/ Medical Statistics

University of Leeds - Leeds Institute of Health Sciences (LIHS)

Location: Bradford
Salary: £37,099 to £44,263
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 29th January 2024
Closes: 26th February 2024
Job Ref: MHIHS1382

Are you an ambitious and talented researcher with expertise in health data, data science, medical statistics and/or machine learning? Do you want to join a leading research centre to implement high quality health and social care research?

We are seeking to appoint a Research Fellow in Health Data Science/Medical Statistics to join our world leading team in the Academic Unit for Ageing & Stroke Research (ASR), Leeds Institute of Health Sciences, located at the Bradford Institute for Health Research. The ASR is a long-established applied health research centre with an international reputation for research related to older people and stroke. As the University of Leeds host Unit for Health Data Research UK (HDR UK) North, the ASR is recognised as a UK and international leader in Health Data Research relating to older people. Influential recent health data research work has included development and national implementation of the multi-award-winning electronic frailty index (eFI), alongside prognostic prediction modelling work, and medicines optimisation. ASR research outputs have generated major impact through direct influence on UK healthcare policy, are cited in clinical guidelines worldwide, and have led to international changes in practice for the identification and management of older people living with frailty. The successful applicant will join this established team of mixed-methods researchers.

This role is an exciting opportunity to support the development and implementation of a number of projects using routine health data. This will include a leading role in a National Institute for Health and Care Research Health and Social Care Delivery Research (NIHR HSDR) funded project to investigate inequalities in overprescribing of medicines for older people using Clinical Practice Research Datalink (CPRD) data, and an NIHR funded project to investigate stratified care for people with hypertension using routine 24-hour blood pressure measurements.

As Research Fellow in Health Data Science/Medical Statistics you will have experience of acquiring, managing and analysing large, complex health datasets, including developing data sharing agreements. You will have a BSc with a major numerate or computational component (including statistics, machine learning, data science, mathematics or a computational science) and a relevant postgraduate qualification, or equivalent experience, in a relevant area of study. You will have excellent communication and interpersonal skills and the ability to liaise effectively with a wide range of people, including across a range of international institutions

To explore the post further or for any queries you may have, please contact:

Professor Andy Clegg, Head of ASR 

Tel: +44 (0)1274 383406 

Email: A.P.Clegg@leeds.ac.uk  


Additional Information

Working at Leeds 

We are a campus based community and regular interaction with campus is an expectation of all roles in line with academic and service needs and the requirements of the role.  We are also open to discussing flexible working arrangements. To find out more about the benefits of working at the University and what it is like to live and work in the Leeds area visit our Working at Leeds information page. 

Further details:

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
More jobs from University of Leeds

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge