Sr Anlst Tech Prod Mgmt
Listed on 2026-08-30
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IT/Tech
Technical Writer, Cloud Computing: Infrastructure & Operations, Data Engineering, AI Engineer (Applied/Software)
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 Med Tech, 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
Technology Product & Platform Management
Job Sub Function:Technical Product Management
Job Category:Scientific/Technology
All Job Posting Locations:- La Jolla, California, United States of America
- Spring House, Pennsylvania, United States of America
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: 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 elevate issues when appropriate.
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…
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