The role involves leading the IP team for Immunology and Ophthalmology, developing strategies for IP portfolio management, driving operational models, and providing business support in the legal aspects of drug development and commercialization.

The Data Management TA Lead is responsible for executing data management strategy in early clinical development, ensuring data quality and leading a team of Data Managers. This role focuses on overcoming complex data challenges and aligning strategies with clinical goals while mentoring and developing team members.

The Engagement Lead oversees communication and engagement within the Product Development Data Sciences team, driving community-building initiatives, communicating across functions, and aligning internal strategies.

The Principal Manager of Internal Communications will shape and execute communication strategies for two scientific functions, engaging with senior leaders and overseeing content creation and events.

The role leads statistical programming for Immunology/CVRM, ensuring quality outputs for clinical data analysis and regulatory submissions while fostering innovation within a global team.

The role involves leading spatial omics projects, developing analytical strategies for high-dimensional datasets, and collaborating with researchers to derive biological insights using computational methods.

Develop analytical and visualization-driven tools to support drug target identification, collaborating with cross-functional partners to translate data into user-friendly insights.

The Senior Scientist in Computational Biology will analyze multi-omic datasets, identify therapeutic targets, and collaborate with multidisciplinary teams to inform drug development for chronic diseases.

The ITOT Systems Release Manager oversees system downtimes and releases, ensuring high-quality product increments, managing risks, and coordinating between global IT and local manufacturing.

The Principal Applied AI Scientist will lead efforts in applying AI to drug discovery, evaluate models, and collaborate with cross-functional teams to integrate AI in biological contexts.

The intern will support clinical trial study start-up processes, including compliance, documentation, and collaboration with teams and CROs. They will gain knowledge and skills in clinical trials and drug development.

As a Data & Digital Catalysts intern, you will develop solution architectures and templates for AWS data access, focusing on enhancing usability for scientists at Roche.

The Customer Co-Creation Principal focuses on enhancing customer experiences through engagement strategies, co-creation methodologies, and leadership across groups to drive compliance and empathy in customer interactions.

The QA Specialist II/III leads investigations of customer complaints and critical deviations, ensuring compliance with quality standards and mentoring team members.

The Senior Business Product Manager will design and scale an enterprise-wide organic social media program, focusing on compliance and best practices while collaborating with various teams to enhance patient and customer experience.

Lead the development of software solutions for Early Clinical Development, mentor engineers, and drive technical strategies for clinical trial data and AI/ML integration.

Seeking an Applied/Senior Applied AI Scientist to apply AI methods in translational research, collaborating with biologists and software engineers to advance drug discovery and development.

The Biostatistics Oncology Lead provides scientific and strategic leadership in biostatistics for early-phase clinical development, ensuring rigorous statistical methods are applied across programs, fostering team growth, and guiding innovative methodologies.

The Principal Architect will lead architectural design for site services at Genentech, ensuring projects meet safety, sustainability, and compliance standards while collaborating with multidisciplinary teams.

As a Summer Intern in Quality Assurance Operations, you will develop process maps and SOPs, analyze data, and identify improvements in the supply chain from manufacturing to distribution.