Technical Product Owner – Toxicology Systems

About the role

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.

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

• 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 Qualifications

• 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.

Additional Information

The anticipated base pay range for this position is: $94,000.00 - $151,800.00

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits