Principal Agentic Workflow & AI Engineer, Biologics Discovery

Scorpion Therapeutics; New Jersey; On-site; USD 117,000 - 201,000; Full time

Benefits offered by this job

Medical/dental/vision coverage

Life insurance

Disability insurance

401(k) retirement plan

Generous vacation/holiday time

Job summary

Scorpion Therapeutics in Spring House, PA (preferred) or Titusville, NJ or Raritan, NJ, seeks a Principal Agentic Workflow & AI Engineer (Biologics Discovery data engine). You will design and build agentic workflows, orchestrate real-time pipelines, and connect automation software, data stores, models, and compute for closed-loop AI-enabled discovery.

Lead cross-functional efforts, mentor teammates, and push for scalable, production-grade AI solutions across DMTL, lab automation, and data

Qualifications

• PhD preferred in CS/Engineering/computational field.
• 3+ years building scientific workflow orchestration/automation, including agentic workflows and technical leadership.
• Hands-on real-time/near-real-time pipelines integrating heterogeneous scientific outputs.
• Experience applying agentic AI/LLM-based agents to scientific/lab workflows.

Responsibilities

• Design/configure/improve agentic workflows for biologics secondary analysis; replace fragile manual steps.
• Build/oversee real-time pipelines across automation, data stores, models, and compute.
• Implement resilient APIs, observability, versioning, and workflow orchestration.
• Extend shared GenAI platforms/agentic frameworks for biologics discovery.
• Ensure semantically consistent, reusable, production-deployable data.
• Optimize for AI-driven closed-loop learning across DMTL; ensure high-quality, traceable data.
• Set standards; pilot emerging agentic AI methods; represent work in technical forums.

Skills

Agentic workflows

Real-time pipelines

LLM-based agents

Matrixed org communication

DevOps / MLOps

Observability

Education

PhD in CS/Engineering/Computational field

Tools

GenAI platforms

GraphRAG

Workflow engines

Job description

About The Opportunity

Principal Agentic Workflow & AI Engineer (Biologics Discovery data engine). Build agentic workflows that automate secondary data processing, orchestrate analyses, and connect experimental outputs to models/decisions across the DMTL cycle (lab automation + data pipelines + AI systems).

Position Summary

Design/build agentic workflows and orchestration owning scientific analysis + secondary processing logic. Translate scientific priorities into automation/AI roadmaps and build real-time pipelines connecting automation software, data stores, models, and compute. Partner cross-functionally to enable closed-loop feedback and mentor team members.

Key Responsibilities

• Design/configure/improve agentic workflows for biologics secondary analysis; replace fragile manual steps.
• Build/oversee real-time pipelines across automation, data stores, models, and compute.
• Implement resilient APIs, observability, versioning, and workflow orchestration.
• Extend shared GenAI platforms/agentic frameworks for biologics discovery.
• Ensure semantically consistent, reusable, production-deployable data.
• Optimize for AI-driven closed-loop learning across DMTL; ensure high-quality, traceable, AI-ready data.
• Set standards; pilot emerging agentic AI methods; represent work in technical forums.

Qualifications

Required:

• PhD preferred in CS/Engineering/computational field.
• 3+ years building scientific workflow orchestration/automation, including agentic workflows and technical leadership.
• Hands-on real-time/near-real-time pipelines integrating heterogeneous scientific/instrument outputs.
• Experience applying agentic AI/LLM-based agents to scientific/lab workflows.
• Experience using enterprise/shared GenAI + retrieval-augmented approaches (RAG/GraphRAG).
• Translate scientific objectives into scalable solutions; strong communication in matrixed orgs.

Preferred:

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

Location

Spring House, PA (preferred) or Titusville, NJ or Raritan, NJ. No remote option.

Compensation & Benefits (explicit)

• Anticipated base pay range: $117,000–$201,250; eligible for annual performance bonus.
• Medical/dental/vision, life insurance, short/long-term disability, business accident, group legal; retirement + 401(k).
• Time off: Vacation up to 120 hrs/yr; Sick up to 40 hrs/yr; Holiday pay up to 13 days/yr + up to 40 hrs Work/Personal/Family time.