Research Associate (Computational Biology)
Cardiff University
Cardiff, Gales
1h ago

Main function

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

Research

  • 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 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.

  • To develop research objectives and proposals for own or joint research including research funding proposals.
  • To attend and or present at conferences / seminars at a local and national level as required.
  • To undertake administrative tasks associated with the research project, including the planning and organisation of the project and the implementation of procedures required to ensure accurate and timely reporting.
  • To prepare research ethics and research governance applications as appropriate.
  • To review and synthesise existing research literature within the field.
  • To participate in School research activities.
  • To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements, and share research ideas for the benefit of research projects.
  • Role Specific Duties

  • To play a leading role in a research project identifying the molecular mechanisms underlying disease severity and progression in Parkinson’s disease by using deeply phenotyped cohorts.
  • To work with new statistical approaches which are able to reduce the large number of clinical observations, collected in deeply phenotyped cohorts (clinical, imaging, biosample and genetic data has been collected, and increasingly with longitudinal monitoring) into a smaller number of continuous underlying factors or traits.
  • To develop predictive genomic measures of disease severity and progression, with the opportunity to validate our predictions within stem cell models in our wet lab.
  • Other

  • To engage effectively with industrial, commercial and public sector organisations, professional institutions, other academic institutions etc.
  • 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.

  • To undergo personal and professional development that is appropriate to and which will enhance performance.
  • To participate in School administration and activities to promote the School and its work to the wider University and the outside world.
  • Any other duties not included above, but consistent with the role.
  • Essential Criteria

    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 :

  • Biostatistics in complex genetic and / or genomic analyses
  • Bioinformatics in complex genetic and / or genomic analyses
  • Parkinson’s disease genetics
  • 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.

    Other

    9. Proven ability to demonstrate creativity, innovation and team-working within work.

    10. Proven ability to work without close supervision.

    Desirable Criteria

    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.

    Additional Information

    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.

    Grade 6

    Research Associate (Computational Biology) Cardiff University

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