Director, Statistical Innovation and Data Science
Core
Provide strategic and scientific leadership at the intersection of statistics, statistical modeling, data science, machine learning (ML), deep learning, and AI for evidence generation in a regulated environment.
Role type
Director, Statistical Innovation and Data Science
Builds
Reproducible, validated, and scalable analytical capabilities for clinical development and evidence generation
Domain
Healthcare / Ophthalmology / Biostatistics
Deliverable
production ML models
Required skills
Advanced statistical inference and modeling, Data science and machine learning, Deep learning, R, Python, Clinical development strategy, Regulatory submission knowledge, Model validation, Mentorship
Preferred skills
PhD in Statistics or Biostatistics, Experience with clinical/biomedical/imaging data, Generative AI expertise
Technologies
R, Python, Deep learning frameworks
Responsibilities
Lead application of data science and ML methods for prediction, classification, clustering, and high-dimensional data analysis; Develop and evaluate deep-learning approaches for ophthalmic imaging; Establish rigorous model-development and validation practices; Mentor quantitative scientists; Contribute to the long-term strategy of the Statistics organization
Seniority
Director, strategic leadership & mentorship