Senior Agentic Workflow Engineer, Biologics Discovery - Madrid, ES

6010-Biosense Webster Inc. Legal Entity

Madrid

Presencial

EUR 55.000 - 88.000

Jornada completa

Hace 8 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Annual bonus
Vacation days
Parental leave

Descripción de la vacante

Johnson & Johnson Innovative Medicine seeks a Senior Agentic Workflow Engineer to help build the agentic layer of our Biologics Discovery data engine. Join early builders of agentic AI workflows that automate secondary data processing and connect outputs to models across the DMTL cycle.

The role is based at Madrid, Spain, with no remote option, collaborating with AI/ML teams, scientists, and data engineers to deliver AI-ready, well-documented workflows and high-quality data.

Formación

  • Master's or Ph.D. in Computer Science, Engineering, or a related computational field (or Bachelor's with substantial relevant experience).
  • At least 2 years experience building scientific workflow orchestration, or automation software, including experience in agentic workflows.
  • Hands-on experience designing real-time or near-real-time data pipelines and integrating complex and heterogeneous scientific data and instrument outputs.
  • Experience applying agentic AI and modern LLM-based agents (or comparable intelligent-automation systems) to scientific or laboratory workflows.
  • Experience working with enterprise or shared GenAI platforms and retrieval-augmented approaches (e.g., RAG or GraphRAG) rather than standing up capabilities from scratch.
  • Strong communication skills and comfort operating in ambiguity within a matrixed organization.
  • Preferred Experience in drug discovery domains such as biologics, high-throughput experimentation, or imaging.
  • Exposure to lab automation, robotic systems, or cyber-physical systems for R&D.
  • Familiarity with MLOps/DevOps, workflow engines, and production-grade monitoring/observability.
  • Understanding of FAIR data, ontologies, semantic models, lineage/provenance, and AI-ready data standards.

Responsabilidades

  • Agentic Orchestration & Integration Build and continuously improve agentic workflows that automate secondary analysis for biologics discovery assays, replacing fragile manual and ad-hoc scripted steps.
  • Develop and maintain real-time or near-real-time pipelines connecting automation software, data stores, models, and compute environments.
  • Partner with IT and platform teams to implement resilient APIs, observability, versioning, and workflow orchestration end-to-end.
  • Work with our Enterprise Generative AI team to build on shared GenAI platforms, models, and agentic frameworks - extending them for biologics discovery rather than duplicating enterprise capabilities.
  • Partner with ontology and MLOps colleagues so automated workflows produce semantically consistent, reusable data and deploy reliably into production.
  • AI-Driven Scientific Learning Contribute to workflows optimized for AI-driven learning, not just throughput, supporting closed-loop feedback across the design-make-test-learn (DMTL) cycle.
  • Collaborate with discovery scientists, AI/ML scientists, and data engineers so experimental outputs improve downstream property models and decision-making.
  • Help ensure data generated through agentic workflows is high-quality, traceable, interoperable, and AI-ready, with strong metadata, provenance, and lineage.
  • Identify and propose opportunities to apply agentic AI to compress cycle time and improve reproducibility.

Conocimientos

Agentic workflows
Data pipelines
GenAI platforms
LLM-based agents
MLOps/DevOps
Communication

Educación

Master's or PhD in CS/Engineering
Bachelor's with substantial relevant experience

Herramientas

Workflow engines
GenAI platforms

Descripción del empleo

Company Overview

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Details

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Engineering

Job Category: Scientific/Technology

All Job Posting Locations: Madrid, Spain

Job Title

Senior Agentic Workflow Engineer, Biologics Discovery

Job Description

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is seeking a Senior Agentic Workflow Engineer to help build the agentic layer of our Biologics Discovery data engine. This is an opportunity to be one of the early builders of agentic AI workflows that automate secondary data processing, orchestrate analyses, and connect experimental outputs to models and decisions across the DMTL (design-make-test-learn) cycle. You will work at the intersection of scientific experimentation, data pipelines, AI systems, and lab automation, partnering closely with the broader AI/ML team to bring these systems to life. This position will be based at one of our office locations in either Spring House, PA (strongly preferred), Titusville, NJ, Raritan, NJ, or Cambridge, MA, USA; or at our office location in Madrid, Spain. (No remote option.) Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA - Requisition Number: R-095856 Spain - Requisition Number: R-096797

Key Responsibilities
  • Agentic Orchestration & Integration Build and continuously improve agentic workflows that automate secondary analysis for biologics discovery assays, replacing fragile manual and ad-hoc scripted steps.
  • Develop and maintain real-time or near-real-time pipelines connecting automation software, data stores, models, and compute environments.
  • Partner with IT and platform teams to implement resilient APIs, observability, versioning, and workflow orchestration end-to-end.
  • Work with our Enterprise Generative AI team to build on shared GenAI platforms, models, and agentic frameworks - extending them for biologics discovery rather than duplicating enterprise capabilities.
  • Partner with ontology and MLOps colleagues so automated workflows produce semantically consistent, reusable data and deploy reliably into production.
  • AI-Driven Scientific Learning Contribute to workflows optimized for AI-driven learning, not just throughput, supporting closed-loop feedback across the design-make-test-learn (DMTL) cycle.
  • Collaborate with discovery scientists, AI/ML scientists, and data engineers so experimental outputs improve downstream property models and decision-making.
  • Help ensure data generated through agentic workflows is high-quality, traceable, interoperable, and AI-ready, with strong metadata, provenance, and lineage.
  • Identify and propose opportunities to apply agentic AI to compress cycle time and improve reproducibility.
Qualifications
  • Master's or Ph.D. in Computer Science, Engineering, or a related computational field (or Bachelor's with substantial relevant experience).
  • At least 2 years experience building scientific workflow orchestration, or automation software, including experience in agentic workflows.
  • Hands-on experience designing real-time or near-real-time data pipelines and integrating complex and heterogeneous scientific data and instrument outputs.
  • Experience applying agentic AI and modern LLM-based agents (or comparable intelligent-automation systems) to scientific or laboratory workflows.
  • Experience working with enterprise or shared GenAI platforms and retrieval-augmented approaches (e.g., RAG or GraphRAG) rather than standing up capabilities from scratch.
  • Strong communication skills and comfort operating in ambiguity within a matrixed organization.
  • Preferred Experience in drug discovery domains such as biologics, high-throughput experimentation, or imaging.
  • Exposure to lab automation, robotic systems, or cyber-physical systems for R&D.
  • Familiarity with MLOps/DevOps, workflow engines, and production-grade monitoring/observability.
  • Understanding of FAIR data, ontologies, semantic models, lineage/provenance, and AI-ready data standards.
Position Summary

This position will be based at one of our office locations in either Spring House, PA (strongly preferred), Titusville, NJ, Raritan, NJ, or Cambridge, MA, USA; or Madrid, Spain. (No remote option.)

Salary and Benefits

The anticipated base pay range for this position is: €55,400.00 - €87,860.00

Benefits
  • an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.
  • Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health.
  • We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans.
  • For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.
  • *This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.
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