Back to search results

Research Fellow (Machine Learning for Cancer)

University of Birmingham - Institute of Cancer and Genomic Sciences College of Medical and Dental Sciences

Location: Birmingham
Salary: £30,395 to £39,609
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 25th June 2019
Closes: 31st August 2019
Job Ref: 80819

The post holder will work with selected collaborators, drawn from the large base of internationally recognised research experts, to design and implement computational statistical methodologies; advancing our understanding of cancer biology. The role will require the application of statistical and computational modelling skills to translate complex biological problems into a quantitative form. The post holder will use computational skills to implement statistical algorithms using modern computer programming languages and to use these to analyse data sets and interpret the results. Strong presentation and communication skills are required to convey complex information to both technical and non-technical experts. 

Main Duties 

To plan and carry out research, using appropriate methodology and techniques, under the supervision of the Principal Investigator. This may include:

  • Developing research objectives and proposals for own or joint research,
  • 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
  • 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, such as scientific experimentation, literature reviews, and research interviews
  • Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters 

Person Specification

  • The candidate should have a first degree and a doctoral (PhD, DPhil) qualification (or be expected to have within 3 months of appointment) in a substantially quantitative discipline (e.g. mathematics, engineering, computer science, physics)
  • Substantial experience of statistical or computational modelling gained within a research setting
  • Experience of algorithmic development for statistical computing
  • Expert proficiency in modern low- and high-level programming languages
  • Ability to communicate complex information clearly
  • Experience with the analysis of biomedical data (e.g. electronic health records, genomic data) would be advantageous.
  • Ability to assess resource requirements and use resources effectively
  • Understanding of and ability to contribute to broader management/administration processes 

For informal enquiries, please contact Jessica Mylchreest - j.mylchreest@bham.ac.uk

(0121 414 7012) 

Closing date: 31st August 2019                       

To download the full job description and details of this position and submit an electronic application online please click on the Apply Online button below or visit www.hr.bham.ac.uk/jobs 

Valuing excellence, sustaining investment

   
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
 
 
 
More jobs from University of Birmingham

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