Role Summary
Senior Principal Biostatistician role located onsite in Cambridge, MA within the Quantitative Sciences Drug Development function. Focuses on optimizing data-driven decision-making using clinical study data and other internal and external data sources.
Responsibilities
- Advanced Modeling & Simulation: Develop and apply sophisticated models to optimize study design, analyze complex datasets, and enhance predictive capabilities.
- Innovative Analytical Methods: Explore and implement novel statistical techniques such as Bayesian modeling, statistical learning, machine learning, and causal inference.
- Rapid-Response Analyses: Conduct flexible, rapid-response analyses to address emerging scientific and regulatory questions.
- Cross-Functional Collaboration: Work closely with Biostatistics, Pharmacometrics, Statistical Programming, and drug development teams to enhance study design, data interpretation, and evidence generation strategies.
- Problem Identification and Solution Development: Identify recurring problems and use reproducible research techniques and tool development to provide scalable, reusable solutions.
- Quantitative Science Education: Contribute to internal education and awareness efforts in quantitative science.
- External Collaboration: Collaborate with regulatory, academic, and industry partners to advance drug development science through innovative quantitative approaches.
- Scientific Dissemination: Publish in peer-reviewed journals, organize sessions at professional conferences, and contribute to cross-industry workstreams and external scientific working groups.
Qualifications
- Essential Requirements: PhD in statistics, biostatistics, data science or another related field with 3+ yearsβ experience preferred
- Knowledge in relevant quantitative approaches
- Fluent English (oral and written)
- Strong communication and presentation skills