Technical Product Owner – Toxicology Systems

• Job title Technical Product Owner – Toxicology Systems
• Function Technology Product & Platform Management
• Sub function Technical Product Management
• Category Senior Analyst, Technical Product Management (ST6)
• Location Beerse / Belgium
• Date posted Aug 26 2026
• Requisition number R-096026
• Work pattern Hybrid Work

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.

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Job Description:

Johnson & Johnson Innovative Medicine is recruiting for a Technical Product Owner – Toxicology Systems, located in Spring House, PA (US), La Jolla, CA (US) or 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):

• United States (Spring House or La Jolla) - Requisition Number: R-094926
• Belgium (Beerse) - Requisition Number: Evergreen Requisition: R-096026

The Technology Product Owner for Toxicology will own the technical delivery and support of toxicology products directly supporting toxicology and compound promiscuity science. This business technology role combines deep domain and technical expertise with program-level coordination: you will define technical strategy, own roadmaps and delivery for platforms and models used by toxicology scientists, and act as the primary technical partner and escalation point for scientific stakeholders.

Key Responsibilities

• Lead the technology strategy, roadmap, prioritization, and delivery for digital products supporting toxicology workflows, aligning scientific needs, enterprise technology standards, and available delivery capacity.
• Translate scientific needs into technical requirements, success criteria, and measurable deliverables; ensure clear acceptance criteria and productization pathways.
• Provide hands-on technical leadership when it adds the most value, including architecture definition, rapid prototyping, design reviews, and evaluation of pipelines and models; coordinate delivery across engineering, data, quality, and scientific partner teams.
• Ensure robust data ingestion, normalization, annotation, and QC processes; drive integrations with LIMS, ELN, assay instruments, and third-party data providers.
• Define and promote fit-for-purpose practices for data provenance, metadata standards, FAIR principles, and auditability to support scientific reproducibility and applicable compliance requirements.
• Act as primary technical liaison for toxicology scientists: capture requirements, demo solutions, gather feedback, and drive adoption.
• Lead technical evaluations of vendors and third-party solutions, provide due diligence and risk assessments, and coordinate integrations with procurement, legal, cybersecurity, quality, and engineering partners.
• Communicate product status, value, trade-offs, dependencies, and technical risks to leadership and cross-functional stakeholders; facilitate decisions and escalate issues when appropriate.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Bioinformatics, Computational Chemistry, Toxicology, or related field required; Master’s or PhD preferred.
• 5+ years of experience supporting scientific research platforms
• Demonstrated depth in designing, delivering, and sustaining data platforms, analytics products, or machine learning solutions in life sciences, drug discovery, or another complex scientific environment.
• Demonstrated track record of leading technical programs or major projects end-to-end in a complex organization.
• Scientific literacy in toxicology and compound promiscuity concepts: assay types, ADME endpoints and off-target profiling.
• Maintain sufficient software and data engineering depth to guide solution design, evaluate implementation quality, and contribute directly when needed, including experience with Python or R, SQL, REST APIs, containerization, CI/CD practices, and cloud environments.
• Systems and architecture skills: ability to design scalable, maintainable platforms that meet scientists’ needs and regulatory constraints.
• Product and delivery leadership: define product outcomes, shape roadmaps, prioritize investments, establish success measures, manage dependencies and risks, and align cross-functional partners around delivery decisions.
• Operational leadership: establish support models, service expectations, lifecycle plans, and escalation paths for production solutions; use reliability, adoption, quality, and value measures to guide continuous improvement.
• Executive-ready communication and influence: explain technical choices, business value, delivery trade-offs, and risk to scientific, technology, and leadership audiences; build alignment and drive decisions without direct authority.
• Strong problem-solving mindset and bias for pragmatic, evidence-driven solutions.

Preferred:

• Advanced degree (MS/PhD) in toxicology, cheminformatics, computational chemistry, or related discipline.
• Hands-on experience with cheminformatics tooling (e.g., RDKit), molecular representations, fingerprints, SMARTS/substructure filtering, and selectivity/promiscuity scoring approaches.
• Experience with ML libraries and frameworks (scikit-learn, TensorFlow, PyTorch) and MLOps tools (model registries, monitoring).
• Prior experience in regulated or GLP-relevant environments, or with quality frameworks that apply to scientific data and software.
• Experience performing technical vendor evaluations and managing third-party scientific data/software integrations.

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The anticipated base pay range for this position is:

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.