Research Fellow - Institute of Inflammation and Ageing - 101813 - Grade 7

Position Details

Institute of Inflammation and Ageing, College of Medical and Dental Sciences

Location: University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range £33,348 to £43,155 with potential progression once in post to £45,737

Grade 7

Full time, Fixed Term contract up to July 2027

Closing date: 15th June 2023

Background

This four-year position is for a postgraduate research fellow with expertise in health data, data science, statistical modelling and/or artificial intelligence to work within Birmingham’s NIHR-funded Patient Safety Research Collaborative, within the theme entitled “Clinical Decision Support Tools in Acute Care”. This position is based at the Institute of Inflammation and Ageing, but the PSRC includes PDRAs working collaboratively across The College of Medical and Dental Sciences as part of a vibrant data science and clinical community, focused on delivering innovative solutions to patient safety.

This post is part of the expanding Birmingham Acute Care Research Group, a multi-disciplinary team of clinical, data and discovery scientists working in the field of acute medicine within the Institute of Inflammation and Ageing.

This post will help develop and test novel clinical decision support tools using electronic health data from PIONEER, the HDR UK Hub in acute care. The candidate will work alongside other data scientists, statisticians, clinicians, pharmacists, nurses and patients, to improve outcomes for patients by reducing errors in prescriptions, identifying drug-drug interactions and increasing guideline compliance through a series of clinically informed, data-driven challenges.

The candidate will be part of a multi-disciplinary team, building, testing and deploying these tools, working in supported partnerships with regulators, policy makers and healthcare professionals.
Role Summary

This role is for an enthusiastic and talented researcher with an interest in data science, health data, statistics and/ or artificial intelligence with a focus on improving patient care.
The successful candidate will;

• Describe the burden of medicines related harm in hospital settings through statistical analysis and modelling of highly granular health data.
• Develop and deliver prototype and updated versions of clinical decision support tools based on iterative performance testing and clinical impact.
• Work within specified research grants and projects and contribute to writing bids
• Ideally, the candidate will have experience working with real world health data but they will be supported by an experienced team who can support them in this area.
• Contribute to generating funding through supported grant applications
• Contribute to licensing or spin out deals with demonstrated commercial success (such as revenues, asset or company sales, IP generated)
• Contribute to public understanding of data science and its application in improving health outcomes

Main Duties

The responsibilities may include some but not all of the responsibilities outlined below.

• Develop research objectives and proposals for own or joint research, with assistance of a mentor if required
• Contribute to writing bids for research funding
• Analyse and interpret data
• Apply knowledge in a way which develops new intellectual understanding
• Disseminate research findings for publication, research seminars etc
• Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
• Contribute to developing new models, techniques and methods within the scope of this Driver programme
• Undertake management/administration arising from research
• Contribute to Departmental/School research-related activities and research-related administration
• Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader
• Collect research data; this may be through a variety of research methods using health data but also through literature reviews.
• Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters
• Provide guidance, as required, to support staff and any students who may be assisting with the research
• Deal with problems that may affect the achievement of research objectives and deadlines
• Promotes equality and values diversity acting as a role model and fostering an inclusive working culture.

Person Specification

• First degree in mathematics, computer science and normally, a higher degree relevant to research area of data science or equivalent qualifications
• High level analytical capability
• Ability to communicate complex information clearly to peers, supervisors and members of the public/ patients
• Fluency in relevant data models, techniques or methods and ability to contribute to developing new ones– although relevant training will be available.
• Ability to assess resource requirements and use resources effectively
• Understanding of and ability to contribute to broader management/administration processes
• Contribute to the planning and organising of the research programme and/or specific research project against timelines and deliverables.
• Co-ordinate own work with others to avoid conflict or duplication of effort
• Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly
  

Further particulars can be found here

Informal enquires to Elizabeth Sapey, email: e.sapey@bham.ac.uk

Valuing excellence, sustaining investment

We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.