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Research Fellow - Population Diversity at Varying Scales

Employer
Global Academy Jobs
Location
United Kingdom
Salary
£30,942 - £42,792
Closing date
Feb 3, 2020

Job Details

Position Details

Institute of Cancer and Genomic Sciences

College of Medical and Dental Sciences

University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range £30,942 to £40,322. With potential progression once in post to £42,792 a year

Full time/Fixed term to 29 September 2021

Closing Date: 5 December 2019

Previous applicants need not re-apply

Job Purpose

The post holder will join a new Alan Turing Institute funded group in Population Diversity at varying scales within the Data Intensive Life Sciences theme led by Prof Jean-Baptiste Cazier.

The project aims to identify underlying structure in a series of large BioMedical datasets typically involving Genomics, Clinical and Environmental information with a view to identify and quantify the relevant key factors and their interactions using cutting-edge multi-modal AI approaches. Success of the project would not only enable a better use of existing dataset from across the world and deliver actual precision medicine, it will help as well improve the design of future studies to address the specific characteristics of any given population.

The post holder will therefore work with selected collaborators, drawn from the large base of internationally recognised research experts from across numerous fields, particularly from the Alan Turing Institute network, to design and implement computational statistical and mathematical methodologies; advancing our understanding of Population-based Biomedical research. The role will require mathematical, statistical and computational modelling skills to make use of the complex Biomedical datasets, both quantitative and qualitative. The post holder will use computational skills to implement mathematical and 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.

The post holder will be embedded within the group led by Prof Jean-Baptiste Cazier, Director of the Centre for Computational Biology. Regular travel to the London office of the Alan Turing Institute will be required.

Main duties

Research

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

This may include:

• Develop novel methods to represent, compare and analyse Biomedical data

• Analyse and interpret data

• Apply knowledge in a way which develops new intellectual understanding

• Developing research objectives and proposals for own or joint research

• Contribute to writing bids for research funding

• Disseminate research findings for publication, research seminars etc

• Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews

• Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline

• Undertake management/administration arising from research

• Contribute to Centre/Institute research-related activities and 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

• Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters

• Promote equality and diversity values, acting as a role model and fostering an inclusive working culture.

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 mathematical, statistical or computational modelling gained within a research setting

• Experience of algorithmic development for mathematical and/or 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

• 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.

For informal inquiries please contact CCB Centre Manager, Jessica Mylchreest on 0121 414 7012 or ccb@contacts.bham.ac.uk

Valuing excellence, sustaining investment

We value diversity at The University of Birmingham and welcome applications from all sections of the community

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