{"id":2416939,"url":"https://alion.io/job/johnson-johnson-principal-scientist-scientific-workflows-agentic-cheminformatics-be","title":"Principal Scientist, Scientific Workflows & Agentic Cheminformatics - BE","company":{"id":14152,"name":"Johnson & Johnson","domain":"jnj.com","url":"https://alion.io/company/jnj","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Turnhout, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":79800,"max":137770,"currency":"EUR","period":"year","gross":null,"usd_annual":154006},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-13T03:43:57Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-21T06:59:02Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"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.\nAs 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.\nJob Function:\nData Analytics & Computational SciencesJob Sub Function:\nData ScienceJob Category:\nScientific/TechnologyAll Job Posting Locations:\nTurnhout, Antwerp, BelgiumJob Description:\nOur 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.\nJoin us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.\nLearn more at https://www.jnj.com/innovative-medicine\nJohnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Scientific Workflows & Agentic Cheminformatics to join our In Silico Drug Discovery team. This position will be located in either Spring House, PA; or Cambridge, MA and may require some travel as needed (no remote option). Consideration may be given for candidates located in Beerse, Belgium.\nPlease 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):\nUSA - Requisition Number: R-102947\nBelgium - Requisition Number: R-104669\nThe Principal Scientist is a scientific leader who identifies how agentic approaches can transform cheminformatics and discovery practice, rapidly prototypes and validates new scientific workflows, and enables their adoption by scientists through familiar discovery environments.\n\nMission\nThe Principal Scientist will lead the identification, scientific design, prototyping, and validation of agent-enabled workflows that address high-value discovery questions across multiple use cases or discovery areas. This individual will also establish the scientific evidence, adoption model, and partnerships needed to advance promising concepts into broadly used capabilities.\n\nCore responsibilities\nBuild trusted partnerships with medicinal chemists, CADD scientists, biologists, DMPK scientists, data scientists, and scientific leaders to understand decision workflows and identify opportunities with impact across projects or discovery areas.\nShape and prioritize a portfolio of scientific questions and decision points where agentic approaches can bring together data, models, and expert knowledge to improve the quality or speed of discovery.\nDefine robust and reusable approaches for translating complex scientific questions into workflows that make evidence, assumptions, decisions, and points requiring expert judgment explicit.\nDesign scientifically meaningful use cases, reference datasets, and success criteria that enable rigorous evaluation.\nEvaluate agent behavior and outputs for scientific validity, reproducibility, uncertainty, appropriate tool use, robustness across scenarios, and relevance to discovery decisions.\nCapture the scientific insights gained from early applications and use them to define which approaches merit further development and broader adoption.\nDevelop 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.\nProvide scientific and technical leadership across a portfolio of agentic prototypes, set priorities and success measures, guide trade-off decisions, and ensure that the work addresses meaningful discovery needs and delivers measurable value.\nDrive broader adoption of agentic capabilities by integrating them into familiar scientific environments, establishing effective patterns for human-agent collaboration, and building communities of practice across discovery functions.\nLead the scientific design, prototyping, and validation of agent-enabled discovery workflows, and partner with data science and platform engineering teams from an early stage on the underlying AI architecture, production implementation, security, and sustained operation. Translate scientific requirements and evidence into reusable capabilities that align with shared architectures and can be deployed across discovery programs.\n\nRequired skills\nPhD or equivalent substantial experience in cheminformatics, computational chemistry, medicinal chemistry, chemical biology, or a related discipline, with recognized depth of scientific expertise relevant to drug discovery.\nDeep understanding of compound design, predictive models, and discovery decision-making, with the ability to connect scientific needs and opportunities across disciplines or programs.\nStrong Python programming skills and experience developing automated workflows, pipelines, or scientific applications to explore scientific questions and create practical proof-of-concept solutions.\nFamiliarity with workflow orchestration and sound software development practices, including version control, testing, and continuous integration and delivery.\nHands-on experience using AI-assisted development approaches to build reliable scientific software or automated workflows, with practical experience applying large language models and designing effective interactions between models, tools, and human experts.\nDemonstrated ability to define scientific direction in ambiguous areas, translate emerging needs into a coherent capability agenda, and influence stakeholders across scientific, data science, and technology organizations.\nTrack record of scientific leadership, cross-disciplinary collaboration, and translating promising ideas into approaches that influence discovery strategy and outcomes beyond a single project.\nAbility to mentor scientists and engineers, raise scientific and technical standards, and build alignment and capability across a matrixed organization.\nAbility to travel domestically and internationally up to 10% of the time.\nPreferred skills:\nExperience designing and evaluating end-to-end agent-enabled scientific workflows or multi-agent solutions is preferred.\nStrong knowledge of and hands-on experience with public and commercial bioactivity and chemogenomics databases\nDemonstrated track record of partnering with platform engineering teams to develop production-ready solutions\nThis position will be located in either Spring House, PA; or Cambridge, MA and may require some travel as needed (no remote option). Consideration may be given for candidates located in Beerse, Belgium.\nRequired Skills:\nPreferred Skills:\nAdvanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow AnalysisThe anticipated base pay range for this position is:\n€79,800.00 - €137,770.00Benefits:\nIn addition to base pay, we offer the following 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.\n*This is for informative purposes only. 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