Senior Data Scientist, Gen AI Application
Genentech
About the role
Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
The Opportunity
As a Sr. Data Scientist - Generative AI Applications within Genentech’s Data, Digital, and Analytics (DDA) organization, you will bridge the gap between core AI infrastructure and high-impact business applications across Commercial, Medical, and Government Affairs (CMG). In this high-visibility role, you will design, build, and optimize intelligent agents and agentic workflows that reason, utilize complex tools, and automate intricate multi-step business processes. You will collaborate closely with platform engineers and business product owners to deliver seamless, reliable, and user-centric GenAI solutions that drive measurable business impact.
Architect, build, and deploy intelligent AI agents, orchestration workflows, decision logic, and collaboration patterns for complex enterprise applications.
Define and implement robust tool schemas, APIs, permissions, error-handling mechanisms, and human-in-the-loop escalation paths for agentic systems.
Optimize agent behavior across key metrics including accuracy, task completion reliability, latency, cost efficiency, and end-user experience.
Design effective memory, context retention, retrieval-augmented generation (RAG), and summarization strategies to enhance agent capabilities.
Establish comprehensive evaluation frameworks, observability metrics, synthetic test scenarios, and trace analyses to diagnose failure modes and prevent hallucinations.
Partner with application engineers, platform teams, and business product managers to integrate agentic systems into secure, production-grade enterprise environments.
Standardize agent development patterns, guardrails, and best practices across the DDA organization.
Who you are
5+ years of professional experience in software engineering, machine learning, or GenAI application development.
Hands-on experience designing, building, and deploying LLM-powered agents or agentic workflows in production environments.
Strong working knowledge of prompting techniques, tool calling, structured outputs, planning mechanisms, RAG, and context management.
Proficiency in Python, TypeScript, or a comparable production language, alongside experience with agent orchestration frameworks (e.g., LangGraph, LangChain, or custom frameworks).
Demonstrated expertise designing APIs, tool contracts, asynchronous workflows, and integration patterns for scalable systems.
Preferred
Experience with multi-agent architecture systems and inter-agent communication protocols (e.g., A2A, MCP).
Experience building and deploying agentic workflows within enterprise platforms or regulated industries (biotech, pharma, finance, or healthcare).
Familiarity with model routing, prompt versioning, fine-tuning, guardrails, and human-in-the-loop workflows.
Strong understanding of cloud environments (AWS, AWS AgentCore), identity, access management, data privacy, and secure tool execution.
Proven track record translating ambiguous business objectives into reliable technical agent workflows and quantifiable outcomes.
Location
This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus
No relocation benefits are available for this posting
The expected salary range for this position based on the primary location of CA is $177,310 - $329,290 . 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
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.
Responsibilities
- Build and deploy intelligent AI agents and workflows for complex enterprise applications.
- Define tool schemas, APIs, permissions, error handling, and human escalation paths.
- Optimize agent accuracy, reliability, latency, cost, and user experience.
- Design memory, retrieval-augmented generation, context retention, and summarization strategies.
- Create evaluation frameworks, observability metrics, and tests to diagnose failures and prevent hallucinations.
- Integrate agentic systems into secure, production-grade enterprise environments.
- Standardize agent development patterns, guardrails, and best practices.
Qualifications
- At least 5 years of professional experience in software engineering, machine learning, or GenAI application development.
- Hands-on experience building and deploying LLM-powered agents or agentic workflows in production.
- Knowledge of prompting, tool calling, structured outputs, planning, RAG, and context management.
- Proficiency in Python, TypeScript, or a comparable production language and agent orchestration frameworks.
- Experience designing APIs, tool contracts, asynchronous workflows, and scalable integrations.
- Preferred: Experience with multi-agent systems, enterprise or regulated-industry workflows, model routing, prompt versioning, fine-tuning, guardrails, cloud security, and translating business objectives into measurable outcomes.
Benefits
- May be eligible for a discretionary annual bonus based on individual and company performance.
- Benefits are referenced in the posting but not specified.
Skills mentioned
About Genentech
Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI). For more information, please visit https://careers.roche.com Read our community guidelines here: https://www.roche.com/some-guidelines.htm #Roche #Biotechnology #Pharmaceuticals #Diagnostics #Healthcare #PersonalisedHealthcare #GreatPlaceToWork #Innovation
H-1B sponsorship history
Historical employer filing data was found for Genentech. The employer record includes 941 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.