Principal Scientist, Scientific Workflows & Agentic Cheminformatics - BE

6010-Biosense Webster Inc. Legal Entity; Belgique; On-site; EUR 80,000 - 138,000; Full time

Benefits offered by this job

Annual bonus

Well-being reimbursement

Parental leave (12 weeks)

Job summary

Johnson & Johnson is seeking a Principal Scientist to lead the design, prototyping, and validation of agent-enabled discovery workflows across multiple use cases. Based in Beerse, Belgium, you will collaborate with chemists, data scientists, and platform engineers to translate scientific questions into actionable workflows that deliver measurable discovery value.

You will mentor scientists and engineers, set priorities for agentic prototypes, and drive adoption across discovery functions while

Qualifications

• PhD or equivalent in cheminformatics or related field.
• Deep understanding of design, predictive models, and discovery decision-making.
• Strong Python and automated workflows experience.
• Familiarity with CI/CD and testing practices.
• Ability to mentor scientists and collaborate across functions.

Responsibilities

• Lead the scientific design, prototyping, and validation of agent-enabled discovery workflows.
• Partner with data science and platform engineering teams on AI architecture and production considerations.
• Translate scientific requirements into reusable capabilities aligned with shared architectures.
• Define robust use cases, datasets, and success criteria for evaluation.
• Drive adoption of agentic capabilities across discovery functions.

Skills

Python programming

Workflow orchestration

AI-assisted development

Data science collaboration

Scientific leadership

Cross-disciplinary collaboration

Mentoring

Travel up to 10%

Education

PhD in cheminformatics or related

Tools

Version control

CI/CD

Job 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.

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 Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Turnhout, Antwerp, Belgium

Job Title: Principal Scientist, Scientific Workflows & Agentic Cheminformatics

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. 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-102947 Belgium - Requisition Number: R-104669

Mission

The 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.

Core responsibilities

• Build 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.
• Shape 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.
• Define robust and reusable approaches for translating complex scientific questions into workflows that make evidence, assumptions, decisions, and points requiring expert judgment explicit.
• Design scientifically meaningful use cases, reference datasets, and success criteria that enable rigorous evaluation.
• Evaluate agent behavior and outputs for scientific validity, reproducibility, uncertainty, appropriate tool use, robustness across scenarios, and relevance to discovery decisions.
• Capture the scientific insights gained from early applications and use them to define which approaches merit further development and broader adoption.
• Develop 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.
• Provide 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.
• Drive 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.
• Lead 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.

Required skills

• PhD 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.
• Deep understanding of compound design, predictive models, and discovery decision-making, with the ability to connect scientific needs and opportunities across disciplines or programs.
• Strong Python programming skills and experience developing automated workflows, pipelines, or scientific applications to explore scientific questions and create practical proof-of-concept solutions.
• Familiarity with workflow orchestration and sound software development practices, including version control, testing, and continuous integration and delivery.
• Hands‑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.
• Demonstrated 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.
• Track record of scientific leadership, cross‑disciplinary collaboration, and translating promising ideas into approaches that influence discovery strategy and outcomes beyond a single project.
• Ability to mentor scientists and engineers, raise scientific and technical standards, and build alignment and capability across a matrixed organization.
• Ability to travel domestically and internationally up to 10% of the time.

Preferred skills

• Experience designing and evaluating end-to-end agent-enabled scientific workflows or multi‑agent solutions is preferred.
• Strong knowledge of and hands‑on experience with public and commercial bioactivity and chemogenomics databases.
• Demonstrated track record of partnering with platform engineering teams to develop production-ready solutions.
• Advanced 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 Analysis.

The anticipated base pay range for this position is: €79,800.00 - €137,770.00

Benefits

• In 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.
• *This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

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