Data Scientist/Senior Data Scientist

What You'll Do:

• Analyse and integrate clinical and multi-omics datasets (e.g., genomics, proteomics) to extract actionable insights.
• Develop and validate predictive models for biomedical research and biomarker discovery.
• Apply Design of Experiments (DOE) and statistical methods to support research objectives.
• Build interactive web applications using Streamlit or R Shiny for data visualization and exploration.
• Ensure reproducibility, code quality, and adherence to industrialized coding best practices using Git/GitHub.
• Collaborate with cross-functional teams including bioinformaticians, data engineers, and clinicians. 
• Document analysis workflows, methodologies, and results in a clear and structured manner.
• Communicate findings through reports, dashboards, and presentations to technical and non-technical stakeholders.

Technical Skills Programming & Tools:

• R (Tidyverse), Python (pandas, NumPy, scikit-learn) 
• Streamlit or R Shiny for web application development
•  Git/GitHub for version control and code management
• GCP

What You Need:

• Data Science & Modeling:
• Exploratory Data Analysis (EDA), Statistical Modeling, Predictive Modeling
• Clinical data interpretation and Omics data integration
• Design of Experiments (DOE), Reproducibility & Repeatability
• Data visualization (ggplot2, matplotlib, seaborn, etc.)