Senior ML Engineer, Biologics Discovery

pAt 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. /p pAs 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. /p h3Job Function: /h3 pRD Product Development /p h3Job Sub Function: /h3 pRD Machine Learning /p h3Job Category: /h3 pScientific/Technology /p h3All Job Posting Locations: /h3 pBeerse, Antwerp, Belgium /p h3Job Description: /h3 pOur 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. /p pJoin us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. /p pLearn more at /p h3About the Opportunity /h3 pJohnson Johnson Innovative Medicine is seeking a bSenior ML Engineer /b for our Biologics Discovery Data Science team. This role builds and operates the integration, deployment, lifecycle management, and governance capabilities that enable machine learning (ML) models and AI solutions developed by partner organizations to run reliably in Biologics Discovery environments. You are the senior team member who closes the gap between model-ready data in our data warehouse and models that serve discovery scientists. /p pThis position will be based at one of our office locations in either Spring House, PA (strongly preferred), Titusville, NJ, or Raritan, NJ, USA; Beers, BE, or Madrid, Spain. (No remote option.) /p pRemember 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): /p ul liUSA
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- /li liSpain
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- /li liBelgium
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- /li /ul h3Why this role matters: /h3 pThe future of AI-native discovery depends on high-quality AI and data solutions that connect scientific data, machine learning models, and agentic workflows. This role will shape how enterprise AI and MLOps capabilities are adapted, integrated, and operationalized for Biologics Discovery, enabling AI solutions to scale from prototypes into trusted capabilities that accelerate scientific learning and therapeutic discovery. /p h3Position Summary /h3 pIn this role, you will enable AI/ML solutions to move reliably from development into production within Biologics Discovery. Working closely with data scientists, AI/ML scientists, discovery scientists, and partner organizations at JJ, you will own the deployment, lifecycle management, access, monitoring, and governance of ML, generative AI, and agentic solutions for discovery workflows. The role does not own core model development or the underlying enterprise platforms. Instead, it ensures that models and AI capabilities developed by partner teams are operationalized reliably for scientific use. /p pYou will bring expertise in modern AI/ML operational practices, including reproducibility, CI/CD, observability, governance, automation, and scalable compute, helping adapt enterprise capabilities for discovery-specific use cases. Your work will enable reliable, production-grade AI workflows and accelerate the adoption of ML and agentic systems in biologics discovery. /p h3Why This Role Is Unique /h3 pThis is a rare opportunity to play a key role in enabling AI-native Biologics Discovery. You will help operationalize and scale AI/ML capabilities that transform model-ready data and promising models into reliable, production-grade solutions that accelerate scientific discovery. /p h3Key

Responsibilities:
/h3 pbAI/ML Operations Lifecycle Management /b /p ul liBuild and operate scalable pipelines and interfaces that deliver model-ready data to ML, generative AI, and agentic workflows. /li liEnable closed-loop scientific learning by ensuring newly generated scientific data can be captured, governed, and made available to downstream modeling, evaluation, and agentic workflows. /li liEstablish reliable operational capabilities for model deployment, serving, monitoring, access management, and lifecycle management across development and production environments. /li liImplement m