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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.
The Opportunity
Within the CoE organisation, the Data and Digital Catalyst (DDC) organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. As a Principal Software Engineer, you will be a key technical leader, responsible for driving the architecture and implementation of major, high-impact software systems within the instrument integration domain. You will solve the most complex technical challenges for the team, ensuring the resulting systems are scalable and reliable. Your work will be vital in enabling our scientists with reliable and accessible data to accelerate drug discovery.
In this role, you will:
Define and lead the architecture and design of complex, cross-functional features within the instrument data ecosystem.
Drive technical roadmaps for key software components of instrument data capture, processing, and distribution, aligning closely with the Computational Sciences Center of Excellence (CoE) goals.
Set and enforce high technical standards for code quality, testing, deployment, and performance, serving as a mentor to engineers across the capability.
Lead the investigation and resolution of critical, large-scale distributed system issues.
Serve as a senior technical expert when collaborating with Genentech (gRED) and Pharma (pRED) scientists, the Data and Digital Catalyst (DDC) organization, and other engineering teams.
Be accountable for delivering scalable and reliable instrument data integration projects
Who you are
B.S. in Computer Science, Engineering, or a related field plus 7+ years of progressive experience in Biotech/Pharma, focused on architecting and deploying scalable software systems for scientific research.
Demonstrated record of outstanding performance through technical leadership and deep, hands-on technical contributions.
Expert technical knowledge of principles related to distributed systems, data engineering, software architecture, cloud-native architectures, and system design.
Must possess the ability to define high-level technical architecture and execute complex technical work.
Expert-level proficiency in Python and deep working knowledge of either Java or C#.
Deep knowledge of lab workflows is essential.
Extensive direct experience interfacing with a variety of scientific laboratory instruments (e.g., liquid handlers, plate readers, microscopes, mass spectrometers).
Expert level technical background in cloud-native architectures (ideally AWS)
Relocation benefits are NOT available for this job posting.
The expected salary range for this position, based on the location of California, is $162,600 - 302,000. 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.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
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