Role overview:
The contractors will support Clinical Trial Innovation initiatives by applying advanced machine learning, biostatistics, and data science methodologies to improve clinical trial design, execution, and decision-making. They will work directly with the client's Statistical Innovation Group and collaborate with clinical development, biostatistics, data science, and R&D stakeholders.
Key responsibilities:- Designing, developing, and maintaining advanced analytical solutions
- Conducting applied research in machine learning, statistical modeling, and biostatistics
- Developing predictive models, simulation frameworks, and experimental methodologies
- Analyzing clinical, real-world, and operational datasets
- Designing and executing proofs of concept and validation studies
- Translating research findings into practical, scalable solutions
- Maintaining existing analytical models and data products
- Documenting methodologies, findings, and technical recommendations
Preferred qualifications:- PhD in Machine Learning, Biostatistics, Statistics, Computer Science, Applied Mathematics, or a related quantitative discipline
- Experience in pharmaceutical R&D, clinical development, or clinical trials
- Strong expertise in machine learning, statistical modeling, experimental design, and causal inference
- Proficiency in Python and/or RDemonstrated ability to translate research into solutions that deliver scientific and business impact
