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Genentech Tech Stack

Drug discovery and manufacturing biotech with AI-driven development pipelines

Biotechnology Research South San Francisco, California 10,001+ employees Founded 1976 Privately Held

Genentech operates a large-scale biotech R&D and manufacturing organization across oncology, immunology, neuroscience, and other therapeutic areas. The tech stack reveals a dual-mode operation: scientific computing (Python, Java, C++, Go, Rust, SageMaker) for drug discovery and clinical analytics, paired with industrial control and ERP infrastructure (SAP S/4HANA, DeltaV SCADA, PLCs, HMI) for regulated manufacturing. Active hiring in research, data, and engineering—with a senior-skewed profile—combined with projects around AI for drug discovery, clinical development platforms, and manufacturing execution systems (MES) suggests a push to automate both discovery cycles and compliance-heavy production workflows.

Tech Stack 120 technologies

Core StackPython Java AWS Terraform Helm Kubernetes AWS RDS SageMaker C++ Go Rust Workday SAP Active Directory SAP S/4HANA Git Bash AWS EKS DeltaV PLC SAP HANA Excel Veeva Emerson DeltaV AVEVA PI SCADA DCS PLCs HMI CRM+86 more
AdoptingSAP ERP MCP

What Genentech Is Building

Challenges

  • Seamless data sharing across teams
  • Modernizing computational data ecosystems
  • Improving maintenance automation
  • Complex accounts across ecosystems
  • Ensuring compliance with evolving regulatory requirements
  • Eliminating silos
  • Increasing system uptime
  • Optimizing existing processes
  • Modernizing data acquisition and integration
  • Optimizing reliability maintainability availability

Active Projects

  • Ai for drug discovery
  • Clinical development plan implementation
  • Rcm implementation for gmp and non-gmp equipment
  • Facility startup and qualification
  • Early clinical development projects
  • Next-generation therapeutic molecule registration (tmr) platform
  • Mes recipe authoring for make/assess/release
  • Analytics/data strategy development
  • Lysosomal and mitochondrial quality control in neurodegenerative diseases
  • Data pipelines and applications for scientific data

Hiring Activity

Steady390 roles · 130 in 30d

Department

Research
81
Data
66
Engineering
62
Manufacturing
33
Healthcare
29
Ops
26
Marketing
17
Product
16

Seniority

Senior
158
Intern
56
Principal
47
Director
37
Lead
36
Mid
36
Manager
7
Junior
6

Notable leadership hires: Medical Director, Engagement Lead, Medical Population Science Lead, Project Director, Insights Enablement Lead

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About Genentech

Genentech is a pharmaceutical research and development company specializing in discovering and manufacturing therapeutic medicines for difficult-to-treat conditions. The company serves patients and healthcare providers globally across six therapeutic focus areas: oncology, immunology, tissue repair, neuroscience, infectious disease, metabolism, and ophthalmology. Operations span drug discovery (AI-enabled candidate screening), clinical development (regulatory submission and trial management), and regulated manufacturing (GMP and non-GMP facilities). The organization is scaled to support long-cycle R&D and multi-site production, with active efforts to modernize data pipelines, reduce operational silos, and improve system reliability across scientific and manufacturing environments.

HeadquartersSouth San Francisco, California
Company Size10,001+ employees
Founded1976
Hiring MarketsUnited States, United Kingdom, Germany, Switzerland

Frequently Asked Questions

What tech stack does Genentech use?

Scientific stack: Python, Java, C++, Go, Rust, AWS, SageMaker. Manufacturing/ERP: SAP S/4HANA, DeltaV SCADA, Veeva, Workday. Infrastructure: Kubernetes, Terraform, Git, AWS RDS/EKS.

What is Genentech working on?

AI for drug discovery, clinical development platforms (regulatory/TMR), manufacturing execution systems (MES) for GMP compliance, data pipeline modernization, and quality control research in neurodegenerative disease pathways.

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