Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
About the role
The expected salary range for this position based on the primary location of San Francisco is $142,500 - 264,700 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Design, program, and troubleshoot high-throughput lab workflows ensuring robust assay execution on physical hardware
- Build orchestration systems, hardware abstraction layers, and instrument drivers that manage retries, handle shared resource contention, and enable 24/7 unattended operation
- Implement telemetry, logging, metrics, and alerting across hardware and software to diagnose failures and resolve root causes using software hooks or vision models rather than relying on manual workarounds
- Build systems to maintain an accurate real-time digital representation of the lab, including sample tracking, instrument state, and reagent availability, with bidirectional integration into LIMS and ELNs
- Manage hardware requirements, site constraints, communication protocols, and workcell integration from initial mechanical layout and prototyping through production deployment
- Work directly with software engineers, automation scientists, and hardware engineers to translate complex scientific protocols into production-grade technical architectures
More about this role
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 organizations 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 maximizing 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 to assist our scientists to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
At Genentech (gRED) and Roche (pRED), we’re applying software, robotics, and advanced AI to solve one of humanity’s hardest challenges: building fully autonomous, self-healing laboratories for lights-out...
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