Sr Anlst Tech Prod Mgmt

Johnson & Johnson Innovative MedicineSan Diego, CA
$94,000 - $151,800Hybrid

About The Position

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. This role owns the technical delivery and support of toxicology products directly supporting toxicology and compound promiscuity science. It combines deep domain and technical expertise with program-level coordination, defining technical strategy, owning roadmaps and delivery for platforms and models used by toxicology scientists, and acting as the primary technical partner and escalation point for scientific stakeholders.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • Consolidated retirement plan (pension)
  • Savings plan (401(k))
  • Vacation –120 hours per calendar year
  • Sick time - 40 hours per calendar year
  • Holiday pay, including Floating Holidays –13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
  • Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
  • Caregiver Leave – 80 hours in a 52-week rolling period
  • Volunteer Leave – 32 hours per calendar year
  • Military Spouse Time-Off – 80 hours per calendar year
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