Biostatistician (Research Scientist)

Employer name: University College Dublin, School of Public Health, Physiotherapy and Sports Science
Salary: €32,700 - €40,600 per annum
Location (city/country): Dublin, Ireland
Closing date: 5pm on 22nd November

The aim of the Centre for Support and Training in Analysis and Research (CSTAR) is to strengthen research quality by providing advice, consultancy and education in research methodologies to health researchers. The remit includes the areas of study design, protocol development, statistical analysis plans, project management, data collection, statistical analysis and report writing. CSTAR is located in the School of Public Health, Physiotherapy and Sports Science on the Belfield campus of University College Dublin in Dublin, Ireland.

CSTAR now has a vacancy for a Biostatistician (Research Scientist). The post holder will be part of a core team which will fulfil the remit of the Centre. A special interest in the design and analysis of clinical trials would be welcome.

Principal Duties and Responsibilities:

  • Provision of assistance and advice to CSTAR’s clients at all stages in their research from planning studies through to report write up and peer-reviewed publication
  • Statistical analysis of clients’ research data, and report writing
  • Developing Statistical Analysis Plans as required
  • Developing educational resources for use in courses and/or for dissemination through CSTAR’s web site
  • Provision of training courses on research methods
  • Ensuring efficient delivery of all support services
  • Carry out other duties as assigned by the Head of School and/or Project Leader

Essential:

  • Master’s level qualification in statistics, epidemiology or research methodology or equivalent qualification incorporating a significant statistical component
  • Previous data analysis experience, preferably in the health area (clinical, health service, or epidemiological)
  • Broad range of quantitative analysis and interpretation skills
  • Good working knowledge of statistical analysis packages (e.g. R, SAS, SPSS, Stata)
  • Prior experience of statistical consultancy, preferably in the health and biomedical areas
  • Willingness to engage with clients at levels appropriate to their skills and needs
  • Excellent communication skills, particularly an ability to communicate statistical ideas to clients
  • Demonstrated willingness to work as a team member
  • Willingness to engage in project review meetings, multidisciplinary meetings as required
  • Excellent organisational and administrative skills, including time management
  • Demonstrated experience and expertise in data interpretation, results reporting and report writing skills
  • Demonstrated ability to work independently

Desirable:

  • PhD in Biostatistics/Statistics/Epidemiological methods
  • CStat accreditation from the Royal Statistical Society (or equivalent)
  • Teaching experience, preferably at graduate level, in statistics/research methods & statistics
  • Experience in distance teaching and web-based approaches
  • Experience in the design and analysis of clinical trials
  • Good working knowledge of qualitative and mixed methods including qualitative data analysis packages (e.g. NVivo) Previous research or data analysis experience in the health area (clinical, health service, or epidemiological)
  • Project management experience
  • Previous experience or knowledge of regulatory environment for clinical trials
  • Previous experience of making oral presentations
  • Working knowledge of administrative structures

The post is full-time and open ended.

Details about CSTAR can be found at http://www.cstar.ie and the School at http://www.ucd.ie/phpss/.

Informal enquiries about the position should be addressed to Professor Mary Codd, Director and Chair of the Board of UCD CSTAR, at This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it..

To obtain full job details and to apply, click on this link and search for reference no. 010947: https://bit.ly/1gktVf2

Interviews are expected to take place the week of 10 December 2018.

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