Senior Agentic Workflow Engineer, Biologics Discovery

Scorpion Therapeutics; Spring House (PA); On-site; USD 109,000 - 175,000; Full time

Job summary

Scorpion Therapeutics is seeking a Senior Agentic Workflow Engineer to build the agentic layer of our Biologics Discovery data engine. You will automate secondary data processing, orchestrate analyses, and connect experimental outputs to models and decisions across the DMTL cycle.

You will implement end-to-end workflow orchestration, extend GenAI platforms, and collaborate with MLOps teams to ensure reliable production and closed-loop learning across biology experiments.

Qualifications

• Master’s or Ph.D. (or Bachelor’s with substantial experience) in CS/Engineering or related computational field.
• 2+ years building scientific workflow orchestration/automation software, incl. agentic workflows.
• Hands‑on experience with real‑time/near‑real‑time data pipelines and integrating complex scientific/instrument outputs.
• Experience applying agentic AI/LLM agents to scientific/lab workflows.
• Experience with enterprise/shared GenAI platforms and retrieval‑augmented approaches (e.g., RAG/GraphRAG).
• Strong communication; comfortable operating in ambiguity.

Responsibilities

• Build and continuously improve agentic workflows to automate secondary analysis for biologics discovery assays.
• Develop real-time/near-real-time pipelines connecting automation software, data stores, models, and compute.
• Implement resilient APIs, observability, versioning, and workflow orchestration end-to-end with IT/platform teams.
• Extend shared GenAI platforms/models/agentic frameworks for biologics discovery.
• Partner with ontology and MLOps colleagues to ensure semantically consistent, reusable data and reliable production deployment.
• Enable closed-loop learning so each experimental cycle improves downstream models/decisions.

Skills

Agentic workflows

Real-time data pipelines

Workflow orchestration

GenAI platforms

RAG/GraphRAG

MLOps/DevOps

Observability

Communication

Education

Master’s or Ph.D. in CS/Engineering

Bachelor’s with substantial experience

Tools

Workflow engines

GenAI platforms

Production monitoring tools

Retrieval-augmented systems (RAG/GraphRAG)

Job description

Senior Agentic Workflow Engineer — build the agentic layer of the Biologics Discovery data engine, automating secondary data processing, orchestrating analyses, and connecting experimental outputs to models and decisions across the DMTL (design-make-test-learn) cycle.

Responsibilities

• Build and continuously improve agentic workflows to automate secondary analysis for biologics discovery assays.
• Develop real-time/near-real-time pipelines connecting automation software, data stores, models, and compute.
• Implement resilient APIs, observability, versioning, and workflow orchestration end-to-end with IT/platform teams.
• Extend shared GenAI platforms/models/agentic frameworks for biologics discovery.
• Partner with ontology and MLOps colleagues to ensure semantically consistent, reusable data and reliable production deployment.
• Enable closed-loop learning so each experimental cycle improves downstream models/decisions.

Qualifications

Required:

• Master’s or Ph.D. (or Bachelor’s with substantial experience) in CS/Engineering or related computational field.
• 2+ years building scientific workflow orchestration/automation software, incl. agentic workflows.
• Hands‑on experience with real‑time/near‑real‑time data pipelines and integrating complex scientific/instrument outputs.
• Experience applying agentic AI/LLM agents to scientific/lab workflows.
• Experience with enterprise/shared GenAI platforms and retrieval‑augmented approaches (e.g., RAG/GraphRAG).
• Strong communication; comfortable operating in ambiguity.

Preferred:

• Drug discovery domain experience (biologics, high-throughput experimentation, imaging).
• Lab automation/robotics/cyber-physical systems exposure.
• MLOps/DevOps, workflow engines, and production monitoring/observability.
• FAIR data, ontologies/semantic models, lineage/provenance, AI-ready data standards.

Compensation/Benefits (if hired in the U.S.)

• Anticipated base pay: $109,000–$174,800; eligible for annual performance bonus.
• Employee benefits: medical, dental, vision, life insurance, short-/long-term disability, business accident insurance, group legal.
• Time off: vacation up to 120 hours/year; sick up to 40 hours/year; holiday/floating holidays up to 13 days/work-personal-family time up to 40 hours/year.

Location:

Spring House, PA (strongly preferred), Titusville NJ, Raritan NJ, Cambridge MA, or Madrid Spain; no remote option.