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Statistician (Genomics Medicine Ireland)

Genomics Medicine Ireland
Job Location
Unit 4
Cherrywood Business Park
Dublin Dublin
Job Description

Role Description

We are seeking an ambitious, highly-skilled, reliable individual who will be responsible for working with a multidisciplinary team to provide statistical and analytical support. This includes statisticians and scientists in research, bioinformatics, laboratory, epidemiology and biostatistics projects. The individual will partner with senior scientists in the development of strategies to perform genomic/multi-omic analyses, experimental/data study design and the preparation of study results for GMI and GMI partners. We are looking for an individual with a solid foundation in statistics and genetics who will work with a large multi-disciplinary collaborative team to (1) design highly powered, deep phenotyped data sets, (2) optimize the generation of high quality multi-omic next generation sequencing data and (3) investigate the “omic” basis of complex, oncological and rare disorders. This position offers an exciting opportunity to an individual who wishes to apply his/her knowledge to genomic analysis to characterize genetic disorders associated with disease diagnosis, prognosis, patient stratification, pharmacogenomic response and drug target identification.

Duties and Responsibilities

  • Review, develop and apply new statistical and computational methods integrating multiple data sources, self-reported data, clinical endpoints and biomarker data.
  • Define study endpoints, study design, power calculations, assist with Case Report Form development and dataset specifications
  • Provide statistical support for laboratory-based quality control, validation and production metrics.
  • To assist in the preparation of scientific publications, presentations, reports and grant proposals
  • Provide strategic and analytic support for internal review, and to support GMI decision making
  • Communicate findings with internal and external stakeholders.
  • Consult and provide statistical training within GMI and to GMI collaborators.
  • Evaluate new technologies/algorithms
  • Think and work independently as a part of an interdisciplinary team.
  • To provide the statistical support to other GMI functions as necessary.




  • PhD in Statistics, Biostatistics, or related field. 
  • Competence with high performance Linux/Unix computing environments. Cloud-based computing experience is highly desirable.
  • Good knowledge of theoretical and applied statistics, including methods in advanced analytics. Proficiency in running simulations, mixed models, and advanced statistical inference
  • Excellent oral and written communication skills as well as documented skills in communicating scientific findings.
  • Minimum of 2 years post-doctoral experience in industry or academic setting (preference is at least 4 years’ experience).
  • Very good knowledge and experience applying statistical methods to genomics/multi-omics.
  • Familiarity/expertise in meta-analyses and potential issues in mining data from different studies, both from a design perspective and in terms of participant ascertainment
  • Understanding of the value of Bayesian methods to scientific research
  • Knowledge of statistical genetics software and awareness of the latest techniques in NGS analysis and other bioinformatics tools are a plus.
  • Track record of independent critical thinking and statistical/scientific achievement as demonstrated by excellent publication record.

Preferred Qualifications

  • Experience in the statistical design, analysis and interpretation of family-based studies and rare genetic disease cohorts. Experience analyzing PheWAS data and working with HPO/ICD9 or similar phenotype codes.
  • 4 years’ experience in industry setting.
How to Apply

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