Software Engineer, AI Enablement (Full stack)
Software Engineer, AI Enablement (Full stack) at Genentech
We advance science so that we all have more time with the people we love. 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.
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.
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. The Engineering – AI Enablement group within DDC is accountable for enabling AI. We embed AI strategy across our research organisations by providing employees with the tools and support needed to adopt AI into our daily work, building and deploying AI‑based solutions that reshape business processes, scaling up model training and inference, evaluating model quality, and building impactful applications that accelerate the scientists doing the critical work of drug discovery and development.
The Opportunity
As a software engineer in AI Enablement with a focus on full stack engineering, you will work closely with Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You will build, own, and constantly improve scalable AI/ML‑based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life‑changing treatments for patients.
* Design, develop, and test robust, scalable, and maintainable web applications and backend systems.
* Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
* Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data‑driven initiatives.
* Implement user‑friendly interfaces and intuitive user experiences.
* Contribute to architectural decisions, code reviews, and the evolution of our development processes.
* Span the stack and contribute where needed, even outside of your core area of expertise.
* Stay up‑to‑date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.
Who You Are
* Bachelor’s or Master’s degree in Computer Science or a similar technical field and 2+ years of professional experience in full‑stack software development.
* Strong proficiency in a front‑end framework (React.js or similar) and a Python, Java, or Rust backend web framework (Django, Spring, Rocket, or similar).
* Experience with relational databases, NoSQL databases, or data lakes and experience working on cloud‑native architectures in public clouds (ideally AWS).
* Proven understanding and application of engineering best practices.
* Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
* Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
Preferred But Not Required
* Experience with biological data and processes is a strong plus.
* Experience working with scientists or in a research environment is advantageous.
Salary range for this position based on the primary location of California is $115,000–$214,000. 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
Relocation benefits are available for this posting.
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.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
#J-18808-Ljbffr