Switzerland, Basel-City, Basel Headquarter
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Apply now!PrintAs a Data Analytics Specialist you will work with clinical trial data to support Pharma Development, helping to generate new evidence and insights on medicines in support of R&D. You will work with peers across the organization including biostatisticians and scientists using patient level clinical data combined with digital sensor data to answer scientific questions. You will be responsible for finding and applying new methods for interrogation, visualization, and analysis of our data in collaboration with the study teams, therefore a collaborative and entrepreneurial mindset is critical.
Required Education and Experience:
Advanced degree in statistics, computer science, mathematics, or the biological sciences
3+ years of hands on R and/or python programming experience preferably in support of clinical trial analysis
3+ years of experience applying statistical and/or machine learning methodologies to scientific data
Responsibilities Include:
Distilling broad scientific questions into actionable analytics on neuroscience projects
Selecting fit for purpose visualizations and methodologies across and within clinical studies, potentially aggregating disparate data sources
Using statistical methodologies, machine learning, and interactive data visualization to explore and to analyze data and to communicate findings
Preferred Skills and Experience:
Has a good foundation in computer science and has strong knowledge in computational statistics including statistical learning
Has experience handling and analyzing streaming data from digital devices
Is familiar with established interactive data visualization packages such as Shiny, plotly, etc.
Has experience building packages in R
Has passion for reproducible and reusable analysis by, for example, packaging modular code, using version control, or using containerized computing environments
Is comfortable being an advocate and resource for analytic or development best practices
Is familiar with the regulatory framework and guidelines for pharma products Is able to communicate with colleagues possessing varying technical backgrounds and can negotiate effectively
Has good knowledge of English in a business environment