Job DescriptionCandidate PhD/PharmD interested in working in late-stage clinical development in clinical science business strategy at Genentech. The Clinical science function is responsible for clinical expertise on cross-functional teams and clinical development strategy. This specific internship opportunity is in the clinical science business strategy office to work directly with the Clinical science Business Strategy Leader on operational and strategic initiative(s) to drive and oversee execution of key business deliverables. This would involve close interaction and collaboration with leaders across functions including Medical Directors, clinical operations, biometrics, safety, regulatory affairs, medical affairs, and a variety of business and commercial functions. The internship would include oversight and execution of strategic initiatives with critical business importance. This opportunity would provide exposure and insight into the business aspect of late-stage drug development from the clinical science vantage in partnership with patient alliance and advocacy, personalized healthcare, and clinical trial execution. The intern would focus on 2 strategic initiatives of interest 1) Genentech/Roche’s efforts to engage diverse populations in clinical research and personalized healthcare 2) advancing our understanding of disease heterogeneity and clinical outcomes across the population.
The internship projects will focus on innovation in the therapy area ophthalmology. The diseases of interest are age-related macular degeneration, diabetic retinopathy and diabetic macular edema. The key topic of interest is application of artificial intelligence and innovative digital health monitoring tools in predictive diagnostics and personalized healthcare. Both summer interns will conduct a literature review of peer-reviewed and non-peer reviewed manuscripts and reports, summarize the findings and develop a 45 minute presentations to the internal clinical science, innovation and personalized healthcare teams. Each of them will also work to write a review paper to describe the main findings from the literature review.
Scientific mindset and independent work required. Teamwork and collaboration is key. Interest in exploring and developing applications of artificial intelligence and innovative digital health monitoring tools in predictive diagnostics and personalized healthcare.