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Job Function:
Technology Product & Platform ManagementJob Sub Function:
Technical Product ManagementJob Category:
Scientific/TechnologyAll Job Posting Locations:
Beerse, Antwerp, BelgiumJob 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.
#JNJTECH
Required Skills:
Preferred Skills:
The anticipated base pay range for this position is:
€72,500.00 - €115,230.00Benefits:
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.
Skills Required
- Bachelor's degree in Computer Science, Bioinformatics, Computational Chemistry, Toxicology, or a related field
- 5+ years of experience supporting scientific research platforms
- Experience designing, delivering, and sustaining data platforms, analytics products, or machine learning solutions in life sciences, drug discovery, or another complex scientific environment
- Track record of leading technical programs or major projects end-to-end in a complex organization
- Scientific literacy in toxicology and compound promiscuity concepts, including assay types, ADME endpoints, and off-target profiling
- Software and data engineering experience with Python or R, SQL, REST APIs, containerization, CI/CD practices, and cloud environments
- Systems and architecture skills for designing scalable, maintainable platforms that meet scientific needs and regulatory constraints
- Product and delivery leadership, including roadmap definition, prioritization, success measures, dependency and risk management, and cross-functional alignment
- Operational leadership establishing support models, service expectations, lifecycle plans, escalation paths, and continuous improvement measures
- Executive-ready communication and ability to influence scientific, technology, and leadership audiences without direct authority
- Strong problem-solving mindset and bias for pragmatic, evidence-driven solutions
- Advanced degree in toxicology, cheminformatics, computational chemistry, or a related discipline
- Hands-on experience with cheminformatics tooling such as RDKit, molecular representations, fingerprints, SMARTS/substructure filtering, and selectivity or promiscuity scoring
- Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch, and MLOps tools including model registries and monitoring
- Experience in regulated or GLP-relevant environments or with quality frameworks for scientific data and software
- Experience performing technical vendor evaluations and managing third-party scientific data or software integrations
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
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