Jobs at Genentech

Lead nanoparticle/LNP research and development for non-viral gene delivery. Oversee formulation, characterization, screening (in vitro/in vivo), mechanism studies, platform advancement to clinical validation, data analysis, cross-functional collaboration, and contributions to publications, patents, and regulatory filings.

The SGA Director advocates for Genentech with state governments, influences policy decisions, and collaborates with stakeholders to advance business goals and legislative priorities.

Execute and optimize downstream filtration processes (UF/DF, TFF) for biologics. Run experiments, troubleshoot and scale processes, maintain detailed lab records, support lab operations, and collaborate cross-functionally to advance therapeutic programs.

Lead the product lifecycle for technology solutions in the biomedical field, integrating AI/ML and managing interdisciplinary product teams. Drive innovation, create user experiences, and oversee regulatory data management.

Lead development and productization of advanced statistical and ML solutions for clinical development. Design simulation studies, build scalable data and model pipelines, ensure model fairness/compliance, integrate models into product platforms, and drive scientific leadership and cross-functional initiatives in regulated pharma environments.

Design, develop, and deploy ML and statistical solutions for clinical development. Partner with product, engineering, and domain experts to build reproducible model pipelines, run simulation and comparative evaluations, integrate models into production, and ensure compliant, interpretable ML architectures. Produce documentation, monitor performance, and contribute to knowledge sharing and cross-functional productization of data science solutions in regulated healthcare environments.

Own the product lifecycle for analytical data pipelines: define roadmaps, prioritize backlogs, collaborate with cross-functional data squads, ensure data quality and governance, guide architecture (data mesh/fabric/Semantic Layer/FAIR), and monitor product performance to deliver scalable data solutions.

Lead AI/ML product vision and strategy across classical and generative techniques. Collaborate with Data Science, IT, and commercial teams to develop roadmaps, prioritize a product backlog, and translate user feedback and model metrics into enterprise AI features (next-best-action, automation, personalization). Drive end-to-end AI product lifecycle from ideation to post-launch optimization and partner with senior leaders to build business cases and ensure responsible AI governance.

Lead a centralized administrative function of ~70 professionals supporting 3,000 scientists. Define organizational design and strategic vision, partner with executives on operational effectiveness, implement modern training and AI-enabled tools, manage staffing and budgets, drive inclusion and career development, and foster a high-performing administrative community aligned with scientific goals.

Lead global biostatistics (100–125 people) setting strategy, ensuring scientific rigor, integrating AI/digital/advanced analytics into study design and analysis, partnering with Clinical, Regulatory, and Data Science, overseeing quality/compliance, and developing senior biostatistics leaders to support late-stage development.

Develop and validate SDTM and ADaM datasets and generate TLFs and interactive visualizations. Follow Roche/CDISC standards and validated tools, perform QC and documentation, resolve technical issues, and collaborate with senior programmers to support clinical and exploratory analyses.

The Senior Thought Leader Liaison coordinates between therapeutic area experts and commercial strategies, influencing market perceptions and driving demand for products through engagement and education. Responsibilities include managing relationships, translating insights into strategies, and enhancing patient access to therapies.

Lead design, testing, validation, and change management for MES and electronic batch records in sterile pharmaceutical manufacturing. Troubleshoot automation/PLC issues, define requirements, author and execute CSV test scripts, manage MES deviations, and support deployments, tech transfers, and regulatory audits.

Lead commercial liaison to national and regional therapeutic area experts (TAEs) in neuroimmunology. Build and sustain TAE relationships, translate insights into brand and launch strategy, drive demand and patient access, align cross-functional teams, manage compliant engagement activities, and deliver measurable KPIs. Field-based role requiring territory residency and frequent travel to enable face-to-face engagement.

The Research & Early Development Enterprise Architect leads technology strategy to enable digital transformation, ensuring a cohesive architecture that integrates AI and data-driven science across research teams.

The Product Strategy Leader manages cross-functional teams, develops supply chain strategies, oversees product health, and mentors other leaders in the Pharma Technical Operations sector.

Participate in automation systems and digital integration work for plant operations: analyze and improve processes, perform automation tasks, manage and visualize data, troubleshoot and maintain systems, and support equipment integration and design reviews under regulatory and GMP standards.

Lead and manage a Boston-based team of Operations Partners while providing hands-on, high-level administrative support to senior leaders. Responsibilities include team coaching and performance management, complex calendar and travel coordination, event and meeting support, stakeholder partnership, and use of enterprise and AI-enabled tools to improve operational efficiency.

Lead quality oversight for site qualification, equipment and computer system validation during production start-up. Approve validation lifecycle documentation, support engineering design, manage validation risk and CAPAs, ensure cGMP compliance and inspection readiness, and collaborate cross-functionally to implement validation best practices.

Paid full-time (minimum 12 weeks) research internship to analyze high-dimensional perturbation datasets (e.g., Perturb-seq). Use statistical frameworks to map gene function and regulatory networks, relate transcriptomic profiles to biological context, and collaborate with experimental teams to prioritize and validate targets for follow-up functional characterization.