Director, Agentic AI for Scientific Workflows

Monte Rosa Therapeutics, Inc

Riehen

Vor Ort

CHF 180.000 - 240.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Monte Rosa Therapeutics, Inc. seeks a hands-on technical leader to define and build an agentic AI strategy used across discovery through clinical development. You will lead the architecture, identify high-value workflows and transform them into production-ready AI-enabled workflows for scientists.

You will integrate diverse data domains, build data infrastructures, and deploy secure agentic systems with human-in-the-loop oversight, driving adoption through demos and partnerships with scientists.

Qualifikationen

  • PhD in ML/CS/Stats or other quantitative field.
  • Substantial experience as an applied ML scientist/engineer with strong execution.
  • Proven track record deploying LLM-based or agentic systems in real workflows; not just prototype.
  • Deep knowledge of agent architectures: planning, tool calling, RAG, memory, multi-agent coordination, human-in-the-loop design.
  • Strong Python and production engineering skills: APIs, testing, containers, cloud deployment, observability; experience with AI data infrastructure like pipelines, ontologies, knowledge graphs, semantic search.
  • Depth in at least one scientific data domain (omics, clinical, chemistry, imaging or biomedical text).

Aufgaben

  • Own the vision, architecture and roadmap for agentic AI across discovery, translational science, clinical development and commercialization.
  • Identify high-value scientific workflows and redesign them around AI agents from first principles.
  • Build data and knowledge layers for agents by integrating omics, clinical, chemistry, assay, literature, patent and regulatory data.
  • Develop connectors, APIs, semantic and metadata layers, and retrieval systems for reliable data and tools use.
  • Deploy secure, auditable agentic systems with human-in-the-loop oversight, tracing, permissioning and monitoring.
  • Establish robust evaluation frameworks: benchmarks, provenance checks, failure-mode analysis, reproducibility, latency and cost tracking.
  • Collaborate with scientists to turn research needs into products and move prototypes to adopted workflows.
  • Drive adoption of agentic-first approaches through demos, partnerships, training and reusable patterns.

Kenntnisse

Applied ML engineering
Python programming
Production engineering
API development
Cloud deployment
Knowledge graphs
Semantic search

Ausbildung

PhD in ML/CS/Stats

Tools

APIs
Containers
Cloud deployment
Observability

Jobbeschreibung

Monte Rosa Therapeutics, Inc. seeks a hands-on technical leader to define and build an agentic AI strategy used across discovery through clinical development. You will lead the architecture, identify high-value workflows and transform them into production-ready AI-enabled workflows for scientists.

You will integrate diverse data domains, build data infrastructures, and deploy secure agentic systems with human-in-the-loop oversight, driving adoption through demos and partnerships with scientists.

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