Senior Director, R&D Data Science & Digital Health – Ophthalmology

Position:
Senior Director, R&D Data Science & Digital Health – Ophthalmology

Location:

Cambridge, Massachusetts (preferred); alternative locations:
Spring House, Pennsylvania;
Titusville, New Jersey;
San Diego, California.

Travel:
Approximately 25% domestic and international. Hybrid schedule: 3 days on-site and 2 days remote.

We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for ophthalmology. This role will shape and execute innovative approaches leveraging multi‑omics, digital health technologies, artificial intelligence, and clinical/real‑world evidence (RWE) to accelerate drug discovery, development and patient impact.

• Define and execute the data science and digital health strategy for ophthalmology, integrating computational biology, AI/ML, digital health, and clinical/RWE insights.
• Drive the application of multi‑omics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers and novel targets.
• Lead development, validation and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring and care pathways.
• Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modelling and translational discovery.
• Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimisation, regulatory submissions and real‑world impact assessment.
• Build strong cross‑functional and external collaborations with academic groups, technology providers, regulators and consortia.
• Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational scientists to deliver on strategic initiatives.

• Advanced degree (PhD, MD or equivalent) in neuroscience, quantitative sciences (biomedical engineering, data science, biostatistics, computational biology) or a related field.
• 10+ years of relevant industry or academic experience, with proven leadership in applying data‑driven methods to drug discovery and development.