Associate Director Data Science
Professional requirements:
- PhD in a quantitative / computational science (e.g. bioinformatics, engineering, machine learning, statistics, physics, mathematics, ...)
- At least 2 years of professional experience in the pharmaceutical sector
- Experience with bioinformatics (around DNA / RNA / proteomics data analysis) and/or statistical genetics and/or biostatistics
- Strong experience with R or python for data analysis and statistical modelling
- Experience in using machine learning models to predict clinical endpoints using multimodal data
- Experience with use of AI/GenAI/LLMs for automating or accelerating data- or data science related processes
Desirable additional skills:
- Knowledge of CDISC data standard (SDTM, ADaM),
- Experience with pooling of clinical trial data
- Understanding of the drug discovery and development process
- Experience working in the field of Immunology or Cardiology/Renal/Metabolic diseases
- Experience with computational environments for large-scale data science (e.g. high-performance computing or Spark),
- Statistical and machine learning, and / or applied deep learning methods for time series data.
- Experience in using the Foundry platform for data analysis
Über die Firma