Senior Biostatistician, Translational Biomarkers


Reference Number: 895692-W
Type of placement: Permanent
Location: Switzerland, North West


In this role you will work on early clinical portfolio projects primarily in the areas of Ophthalmology and Rare Diseases. You will integrate a team of data analysis experts who performs statistical and bioinformatics analyses for discovery/validation of new targets and biomarkers, monitoring drug effects, as well as elucidating the mechanism behind diseases.


Main Responsibilities:

  • Provide biostatistics expertise to internal R&D projects and collaborate with external colleagues (consortia, academics, CRO)
  • Perform the design of experiments, power analysis and development of statistical analysis plans, general exploratory data analysis and statistical modeling (analysis of in vitro-, bioassay- and longitudinal data in particular), analysis of high dimensional data (genetics / genomics / proteomics / digital biomarkers)
  • Present analysis results and provide interpretation to scientists and management
  • Maintain and expand expertise in various statistical methods and computing tools to use internal and external data sets to drive decisions
  • Contribute to biomarker strategies enabling and supporting effective implementation of personalized medicines with major focus on Ophthalmology and Rare Diseases drug discovery/development projects, in cooperation with preclinical and early clinical project teams

Qualifications and Experience:

  • PhD in Biostatistics or a related discipline with at least 3 years of pharmaceutical industry experience
  • Deep biological understanding with proficiency in analyzing various types of biomarkers
  • Leadership qualities in influencing and improving drug discovery by identifying, developing, and applying new quantitative methods
  • Multidisciplinary skill set (biostatistics, programming, bioinformatics) with hands-on experience in omics data analysis and in biological interpretation of high throughput data (network and signature analyses)
  • Large experience in exploratory data analysis (e.g. PCA, clustering, supervised/unsupervised classification) and expertise in statistical and predictive modelling
  • Expert knowledge of R and familiarity with other programming languages such as SAS, Java and or Python is highly desirable
  • Understanding of regulatory guidelines in pharmaceutical research and early development setting and clinical development processes
  • Good Project management skills and ability to multi-task and work in a dynamic environment
  • Strong communication skills and ability to collaborate effectively with biologists, clinical scientists and software developers/IT in interdisciplinary and multinational teams
  • Good presentation skills
  • Fluent in both written and spoken English
  • Relevant working/residency permit or Swiss/EU-Citizenship required



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