Associate Director Data Operations (m/f/d)
- Ensure that scientific teams are enabled and supported to achieve their goals at data42
- Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses
- Develops frameworks for generation and reporting of key results, quality benchmarks for data, models, and impact in collaboration with our data scientist users.
- Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team.
- Acts as an advocate for good data science practice across data42
- Education: PhD in a quantitative / computational science (e.g. bioinformatics, engineering, machine learning, statistics, physics, mathematics, ...)
- Languages: Fluent in English (oral and written)
- 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. Experience with the principles and tools of good data science practice (e.g git/versioning …).
- Excellent communication and stakeholder management 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
- A very renowned company
- You will work in an international environment
À propos de l'entreprise
