Senior Agentic Workflow Engineer, Biologics Discovery

Scorpion Therapeutics; Cambridge (MA); On-site; USD 109,000 - 175,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) retirement plan

Vacation and holidays

Job summary

Scorpion Therapeutics in Cambridge, MA is seeking a Senior Agentic Workflow Engineer to build and maintain agentic workflows and orchestration for biologics discovery data analysis and secondary processing logic.

You will design real-time data pipelines, connect automation software, data stores, models, and compute, and collaborate with IT, MLOps, and ontology teams to ensure AI-ready outputs and reproducibility.

Qualifications

• Master’s/Ph.D. in CS/Engineering or related field, or Bachelor’s with substantial experience.
• 2+ years building scientific workflow orchestration and agentic workflows.
• Real-time/near-real-time data pipeline design with heterogeneous outputs.
• Experience applying agentic AI and LLM-based agents to scientific workflows.
• Experience with GenAI platforms and retrieval-augmented approaches (RAG/GraphRAG).
• Strong communication and ability to operate in ambiguity.

Responsibilities

• Build and continuously improve agentic workflows to automate secondary analysis.
• Develop and maintain real-time pipelines connecting automation software, data stores, models, and compute.
• Partner with IT to implement resilient APIs, observability, versioning, and orchestration end-to-end.
• Extend GenAI platforms and agentic frameworks for biologics discovery.
• Collaborate with ontology and MLOps teams for semantic, production-ready data.
• Contribute to AI-driven learning and closed-loop feedback in the DMTL cycle.
• Ensure outputs are high-quality, traceable, interoperable, AI-ready.

Skills

Workflow orchestration

Agentic AI

Real-time data pipelines

Communication

Ambiguity tolerance

Education

Master's or Ph.D. in CS/Engineering

Bachelor's with substantial relevant experience

Job description

Senior Agentic Workflow Engineer — build and maintain agentic workflows and orchestration for biologics discovery data analysis and secondary processing logic.

Key Responsibilities

• Build and continuously improve agentic workflows to automate secondary analysis for biologics discovery assays.
• Develop and maintain real-time or near-real-time pipelines connecting automation software, data stores, models, and compute.
• Partner with IT/platform teams to implement resilient APIs, observability, versioning, and workflow orchestration end-to-end.
• Extend shared GenAI platforms/models/agentic frameworks for biologics discovery (don’t duplicate enterprise capabilities).
• Work with ontology and MLOps colleagues so workflows produce semantically consistent, reusable data and deploy reliably to production.
• Contribute to AI-driven learning/closed-loop feedback across the DMTL (design-make-test-learn) cycle; improve downstream property models and decisions.
• Ensure outputs are high-quality, traceable, interoperable, AI-ready (metadata, provenance, lineage); propose opportunities to improve cycle time and reproducibility.

Qualifications

Required:

• Master’s or Ph.D. in CS/Engineering or related computational field (or Bachelor’s with substantial relevant experience).
• 2+ years building scientific workflow orchestration/automation, including agentic workflows.
• Hands-on real-time/near-real-time data pipeline design; integrate complex/heterogeneous scientific and instrument outputs.
• Experience applying agentic AI and LLM-based agents (or comparable intelligent automation) to scientific/lab workflows.
• Experience with enterprise/shared GenAI platforms and retrieval-augmented approaches (e.g., RAG/GraphRAG).
• Strong communication; comfort operating in ambiguity.

Preferred:

• Drug discovery domain experience (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 data standards.

Benefits (explicitly stated)

• Base pay range: $109,000–$174,800; annual performance bonus eligibility.
• Medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, group legal; retirement and 401(k).
• Vacation up to 120 hours/year; sick time up to 40 hours/year; holiday pay/floating holidays up to 13 days/year and work/personal/family time up to 40 hours/year.

Location

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