To conduct research within biostatistics and bioinformatics associated with Parkinson’s disease clinical, genetic and gene expression data from human cohorts and stem-
cell models and contribute to the overall research performance of the School and University, carrying out research leading to the publishing of work in high-
quality journals. To pursue excellence in research and to inspire others to do the same.
Main Duties and Responsibilities
cell models and contribute to the overall research performance of the School and University by the production of measurable outputs including bidding for funding, publishing in national academic journals and conferences, and the recruitment and supervision of postgraduate research students.
Role Specific Duties
regionally and nationally to raise awareness of the School’s profile, to cultivate strategically valuable alliances, and to pursue opportunities for collaboration across a range of activities.
These activities are expected to contribute to the School and the enhancement of its regional and national profile.
Qualifications and Education
1. Postgraduate degree at PhD level in a related subject area (Computer Science / Mathematics / Statistics / Bioinformatics or an equivalent discipline) or relevant industrial experience.
Knowledge, Skills and Experience
2. An established expertise and proven portfolio of research and / or relevant industrial experience within at least one of the following research fields :
3. Experience in using R, UNIX / Linux, Perl (or Python) scripting and in the manipulation and analysis of large biological datasets in different data formats (e.
g. genome-wide association studies and next generation sequencing).
4. Knowledge of current status of research in Genetics / Genomics / Biostatistics / Bioinformatics, specifically in the field of dementia.
5. Proven ability to publish in national journals.
6. Proven ability to be successful in competitive research funding.
Communication and Team Working
7. Proven ability in effective and persuasive communication.
8. Ability to supervise the work of others to focus team efforts and motivate individuals.
9. Proven ability to demonstrate creativity, innovation and team-working within work.
10. Proven ability to work without close supervision.
1. Relevant other professional qualification(s) / training e.g. MSc / PhD / diploma / certificate.
2. Relevant experience or knowledge of database technologies, techniques used in genetics and epidemiology, software used for the analysis of genomic data.
3. Evidence of collaborations with industry.
4. Proven ability to adapt to the changing requirements of the Higher Education community.
5. Evidence of ability to participate in and develop both internal and external networks and utilise them to enhance the research activities of the School.
IMPORTANT : Evidencing Criteria
It is School of Medicine's policy to use the person specification as a key tool for short-listing. Candidates should evidence that they meet ALL of the essential criteria as well as, where relevant, the desirable.
As part of the application process you will be asked to provide this evidence via a supporting statement.
Please ensure when submitting this document / attaching it to your application profile you name it with the vacancy reference number, in this instance for this post, 8910BR
If candidates do not provide written evidence of meeting all of the essential criteria then their application will not be progressed.
The School of Medicine welcome the submission of CVs to accompany evidence of the job-based criteria.
Research Associate (Computational Biology) Cardiff University