Senior Scientist, Scientific Workflows

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 pbJob Function: /b Data Analytics Computational Sciences /p pbJob Sub Function: /b Data Science /p pbJob Category: /b Scientific/Technology /p pbAll Job Posting Locations: /b Beerse, Antwerp, Belgium, Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Madrid, Spain, Spring House, Pennsylvania, United States of America, Toledo, Spain /p pbJob Description: /b /p pSenior Scientist, Scientific Workflows Agentic Cheminformatics /p 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. /p pWe seeking for a talented computational Senior Scientist in Cheminformatics development, joining our cutting-edge In Silico Discovery department within Therapeutics Discovery at JJ. /p pA discovery scientist who applies cheminformatics and emerging agentic approaches to important scientific questions, develops and validates new workflows, and helps make useful capabilities accessible to scientists through familiar discovery environments. /p pThe primary location for this role is Belgium. /p pSpain and the East West coast of America will be considered also. /p pbMission /b /p pDesign, prototype, and validate agent-enabled workflows for defined high-value discovery questions or use cases. Generate the scientific evidence, user feedback, and implementation requirements needed to advance successful concepts toward broader use in partnership with project, data science, and platform teams. /p pbCore responsibilities /b /p ul liBuild trusted partnerships with medicinal chemists, In Silico Discovery (ISD) / CADD scientists, biologists, DMPK scientists, and data scientists to understand decision workflows and identify valuable opportunities within projects or defined discovery areas. /li liTranslate complex scientific questions into well-defined workflows that make evidence, assumptions, decisions, and points requiring expert judgment explicit, and contribute reusable approaches where appropriate. /li liDesign scientifically meaningful use cases, reference datasets, and success criteria that enable rigorous evaluation. /li liEvaluate agent behavior and outputs for scientific validity, reproducibility, uncertainty, appropriate tool use, robustness across scenarios, and relevance to discovery decisions. /li liCapture the scientific insights gained from early applications and use them to define which approaches merit further development and broader adoption. /li liDevelop and test agentic prototypes in realistic discovery settings, combining scientific expertise with relevant data, predictive models, computational or laboratory methods, and tools that agents can select and coordinate to address a scientific objective. /li liTake scientific and technical ownership of defined agentic prototypes or workstreams, set fit-for-purpose success measures, make informed trade-offs, and ensure that the work addresses meaningful discovery needs and delivers measurable value. /li liSupport adoption of agentic capabilities by integrating them into familiar scientific environments and working directly with users through project partnerships, training, and feedback. /li liLead the scientific design, prototyping, and validation of assigned agent-enabled discovery workflows, and collaborate with data science and platform engineering teams from an early stage by contributing scientific requirements, evidence, and user feedback for production implementation, security, and sustained operation. Help translate successful project solutions into reusable capabilities aligned with shared architectures. /li /ul pbRequired skills /b /p ul liPhD or equivalent substantial experience in cheminformatics, computational chemistry, medicinal chemistry, chemical biology, or a related