Group Leader - Computational Medicine - Imaging Data Insights, gRED

Genentech•South San Francisco, CA

63d

About The Position

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE, Computational Medicine focuses on developing and applying innovative data analysis solutions to support clinical development - furthering our understanding of disease, disease progression, and individual patient response to treatment. In partnership with our scientists across gRED and pRED, we create better medicines by augmenting every part of R&D through our data-driven culture. The Opportunity: This role will ensure that gRED and pRED are supported and enabled with world-leading clinical imaging expertise and imaging data analytics capabilities while supporting our projects through the clinical stages. You will lead a team of clinical imaging experts and image data analysts in South San Francisco and report into the Global Head of Computational Medicine. As the Group Leader of Imaging Data Insights, you enable the team to support early clinical development projects including formulating scientific questions with cross-functional collaborators, developing the imaging strategy, executing image data analysis plans, and applying innovative analysis solutions for generating insights from patient populations using internal and external imaging data from clinical trials alongside other datatypes (e.g., sensors, -omics) to guide clinical stage molecules. You deliver impact on the Roche portfolio and build strong relationships with stakeholders. Your responsibilities include making decisions on talent, resourcing, business processes, and capability development, contributing to the organization's overall success.

Requirements

PhD in a scientific or technical field (e.g., computer science, biomedical engineering, applied mathematics, physics, or similar) or equivalent qualification with 5+ years of professional experience in pharmaceutical R&D.
Proven ability to lead multidisciplinary teams of direct reports, handle ambiguity, and achieve timely and efficient results with multiple stakeholders; fosters an environment of growth and development for team members.
Track record of using data analysis to impact decision-making along the pharma value chain in general, and in early clinical development in particular; demonstrated ability to quickly grasp topics, formulate problem statements, and achieve successful outcomes.
Broad expertise in clinical imaging, image data analysis, advanced AI/ML, data science, and imaging biomarker research (e.g., MRI, CT, PET, OCT).
Outstanding partnering skills to build trustful partnerships with internal and external stakeholders; actively promotes collaboration and leverages knowledge to create business impact.
Strong ability to communicate, influence, and lead effectively both with and without formal authority in complex environments.

Responsibilities

Responsible for hiring, promoting, retaining, and developing talent to unleash potential and broaden team members' knowledge, capabilities, and skills.
Define vision and strategy for imaging data insights to achieve gRED and pRED objectives.
Contribute to implementing world-leading imaging and imaging data analytics approaches to support, for example, understanding the patient populations, quantifying disease progression or treatment effect, etc. with the goal of impacting critical decision points on portfolio projects.
Ensure standardized and aligned tools and pipelines for reuse within imaging data insights, and with clinical scientists, biomarker, and translational medicine leaders.
Drive innovation in analysis approaches for new experimental imaging modalities and data types in collaboration with scientists.

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