Did you know that your Internet Explorer is out of date?
To get the best possible experience using our website we recommend that you upgrade to a newer version or download another web browser.A list of the most popular web browsers can be found below. Just click on the icons to get to the download page.
![]() Google Chrome |
![]() Internet Explorer |
![]() Mozilla Firefox |
![]() Opera |
Your browser will need to close to complete the installation and you will need to manually reload the site when finished
Biostatistician
| Reference: | SCA015334 | Location: |
Dublin |
| Qualification: | Degree | Experience: | 3-4 Years |
| Job Type: | Fixed Term Contract | Salary: | Not Disclosed |
Biostatistician
Our client, a national regulatory body are currently recruiting for a Biostatistician to join their team. In this role, you will use your statistical and professional expertise to lead the assessment and review of the statistical aspects of marketing authorisation applications and clinical trial applications. You will critically analyse complex clinical and scientific information, making sound judgements on the value of the statistical methodologies employed, and write informative assessment reports for a multi-disciplinary readership. You will provide expertise on good drug development, interacting with medical colleagues, multi-disciplinary advisory committees and company representatives and will provide in-house statistical expertise to other technical sections in the organisation. This role offers hybrid working-2 days per week in the Dublin office and three days working from home.
Responsibilities
- Analyse and critically appraise statistical aspects of pre-marketing applications including dossiers for medicines, scientific advice applications and clinical trial applications and prepare assessment reports. Assessment includes, but is not limited to, statistical methods, statistical design, statistical analyses plans, sample size and sensitivity analyses and imputation methods for missing data
- Liaise with assessment teams in the assessment of the above-mentioned applications
- Inform and influence National and EU advisory and decision-making committees
- Provide advice to the organisation and to National or EU scientific committees
- Contribute to the peer review of national and EU scientific evaluation documents
- Provide statistical advice on behalf of the organisation to stakeholders such as investigators, sponsors, and others to ensure that any planned study/project results and conclusions are presented accurately and without bias
- Represent the organisation at relevant National and EU meetings, when required
- Maintain and enhance personal and technical competence by keeping abreast of new statistical methodology
- Contribute to and assist in the delivery of statistical training and knowledge sharing
- Provide data analysis to support policy direction, and other functions as may be determined depending on the needs of the Strategic Objectives of the organisation
- Support the Section Manager, and Section Leadership Team in the on-going development of the section
- Provide support and input to colleagues and others within the Section and the department
- Participate in shaping the organisation, strategic visioning, developing the business, innovating and creating Operational Objectives
- A postgraduate qualification (MSc/PhD) (NFQ level 9 or 10) in statistics, medical statistics or biostatistics
- A relevant 3rd level honours degree (NFQ level 8) in mathematical, life science, or healthcare discipline (e.g. mathematics/applied mathematics, biostatistics, statistics, biomedical science, pharmacology, pharmacy, genomics, psychology)
- Experience employing analytical thinking on complex data and statistics, and ability to make appropriate and tailored recommendations, comprehensible by multidisciplinary audience
- Have a sound understanding of statistical methodology relevant to the regulation of medicines and clinical trials, and emerging methodologies relevant to the field of statistics and medicines regulation
- Knowledge and understanding of the drug development process (pre-clinical, quality, clinical and post-approval) with understanding of drug development as a continuum
- Knowledge and understanding of the clinical trial process, different clinical trial designs and various statistical approaches that may be used
- Experience and knowledge with statistical software packages, standard office software (Word, Excel, PowerPoint), cloud-based platforms (Microsoft Teams) and communication tools (Outlook)
- Ability to evaluate and critically appraise complex information from a variety of sources and make effective decisions
- Self-starter, accountable, capable of effective communication, negotiation and decision making
- Strong organisational skills, including the ability to prioritise workload
- Excellent oral and written communication skills, excellent attention to detail
- Passion for knowledge sharing and dissemination of statistical expertise, and a willingness to contribute to peer-to-peer learning.
- The ability to work as part of a cross-functional team and clearly communicate statistical issues and methods to multidisciplinary audiences
- Experience in applying statistical methods in biomedical research, pharmaceutical or CRO industry or drug regulatory agency
- Motivated to quickly develop a sound understanding of a wide range of statistical and clinical trial methodology, including state-of-the-art techniques, relevant to the regulation of medicinal products across the breadth of the drug development process
- Knowledge and experience of centralised licensing and clinical trials regulatory processes
For more information, please contact Sinéad Cullen on +353879500821 or [email protected]
Pharmaceutical | Tel:+353 1 685 4545 | Fax: +353 (0)1 443 05 24 | Email: [email protected] | Copyright © 2012 Life Science Recruitment Ltd
This site uses cookies. For more information on our cookie policy visit Privacy Policy | Terms of Use
Registered as a private limited company. No: 445328 |
Web Design / SEO by WebScience | Valid XHTML - CSS






