Jobs Companies Roche Senior Data Scientist, Gen AI Application

Über diese Senior Data Scientist, Gen AI Application Stelle bei Roche

Roche · Hybrid · South San Francisco

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.

Bereit, sich bei Roche zu bewerben?
Bei Roche bewerben

Wie sich dieses Gehalt für Data Scientist vergleicht

Diese Stelle zahlt $253,300/yrim Einklang mit der üblichen Spanne für Data Scientist Stellen.

$184,047 dem Median $246,300 $283,820

Übliche Spanne $210,950–$264,825/yr, aus 15 vergleichbaren Data Scientist Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Scientist ansehen →

Über Roche

We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

Alle Jobs bei Roche ansehen →

Ähnliche Jobs

Roche
Sr. Machine Learning Scientist, Foundation Models, AI for Drug Discovery
Roche
⚡ Früh bewerben South San Francisco Vor Ort $168,100–$312,300
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
Zipline
Senior Data Scientist
Zipline
⚡ Früh bewerben South San Francisco, Californi... Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 6 Tg.
Zipline
Operations Data Scientist – Strategic Operations
Zipline
⚡ Früh bewerben South San Francisco, Californi... Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Roche
Senior Principal DSX Data Scientist, AI
Roche
⚡ Früh bewerben South San Francisco Vor Ort $207,480–$385,320
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Roche
Principal Statistical Methodology Data Scientist
Roche
⚡ Früh bewerben South San Francisco Vor Ort $185,200–$343,900
● Neu 👁 Gesehen ✓ Beworben vor 2 Wo.
Calico
Machine Learning Scientist / Senior Machine Learning Scientist
Calico
⚡ Früh bewerben South San Francisco, CA Vor Ort $170,000–$240,000
● Neu 👁 Gesehen ✓ Beworben vor 2 Wo.
Tahoebio Ai
Senior Machine Learning Scientist
Tahoebio Ai
⚡ Früh bewerben South San Francisco Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Mon.
Atomic AI
Scientist, Machine Learning
Atomic AI
⚡ Früh bewerben South San Francisco, Californi... Vor Ort $170,000–$170,000 ⚠ 6 Mon.+ alt
● Neu 👁 Gesehen ✓ Beworben vor 6 Mon.
Accenture
Data Scientist
Accenture
⚡ Früh bewerben Shanghai, Tsidi Building Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei Roche

Alle Jobs bei Roche ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos