Bioinformatician Dublin, Ireland Full Time Position
Our Client is a dynamic Irish life sciences company leading research programmes on the human genome to examine the relationship between genetics, health and disease.
This role will provide an opportunity for the right candidate to work in an exciting scientific and knowledge environment and an opportunity to grow scientifically with experienced and knowledgeable individuals across multiple areas of the company. There will be interaction with many international players in the ’omics field and authorship in high profile publications. You can be part of an exciting science and knowledge driven company in the fast moving and exciting field of biomedicine. **
- Purpose of the Role
- The Bioinformatics Team will analyse the ‘omics data produced, which currently includes a wide range of disease cohorts. The Bioinformatics Team will interact with the Company’s very strong IT infrastructure, clinical partnerships and research teams, which facilitate and provide an integrated framework for their bioinformatics analysis.
Duties and Responsibilities T
To work efficiently as part of the Bioinfomatic Team member, with a start-up mentality, the ability to work occasionally on short-term projects, with different people, with different roles, across a broad range of functions.
To collaborate in the Client’s strategic scientific development.
To provide input to the scientific approaches used by the Client.
To implement and optimize algorithms for use by Clients and its wider community.
To work with scientists, bioinformaticians, statisticians, software engineers, systems analysts and clinical team members to develop, test and improve new genomic analysis techniques.
To ensure team data analysis complies with company and international analysis and quality standards.
Essential Qualifications and Knowledge Include but are not limited to the following: •
PhD in Bioinformatics or Genomics •
BSc/MSc/PhD in Computer Science/Mathematics/Statistics
Knowledge of rare, neurological, auto-immune or oncological disease research
Knowledge of analysis of genetic causes of disease •
Knowledge of statistical genetics
Knowledge of Bioinformatics ‘omics and big data analysis
Preferred Experience • Scientific publications on ’omics or statistical genetics • Producer and/or maintainer of ’omic software publicly available • Experience in large science-driven organizations or consortia • Experience in international collaborations • Participation in genetics, statistics, ’omics or bioinformatics meetings
Package • Competitive salary + Bonus • Health Insurance • Pension • Stock options available
strong textFor further information please contact Shirley on 086 7831786