Head of Technology, Therapeutic Areas & External Scientific Innovation

Johnson & Johnson

Confirmed live today High trust
Closes in 7 days Hybrid

Quick summary

Work type
Hybrid
Location
Cambridge, MASpring House, PALa Jolla, CABeerse, Flemish Brabant, Belgium
Salary
$178,000–$307,050 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Closes
Oct 9, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k
This role $243k
$142k most similar roles pay here $325k

This role pays more than 69% of similar roles. Most pay $174,131–$256,775 — the shaded band above. At the midpoint, this role pays about $243k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 45 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 42 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Head of Technology, Therapeutic Areas & External Scientific Innovation

Head of Technology - Therapeutic Areas (TAs) & External Scientific Innovation (ESI) serves as a senior leader within the Research Systems organization, supporting Immunology, Oncology, and Neuroscience therapeutic areas. This role owns the technology profile, strategy, portfolio, and operational performance required to advance research science and externally sourced innovation. The individual will partner with Data, Data Science and AI teams to build an automated, software-defined, and AI-augmented R&D ecosystem. Key responsibilities include ensuring scientific data follows FAIR principles and managing a technical roadmap for target discovery, lead optimization, and clinical trial design. Essential skills include expertise in laboratory systems, ELN, LIMS, and multi-omics integration. The role addresses the complex challenge of translating scientific needs into scalable, secure technology products while integrating external collaborations and assets into a cohesive research data architecture.

What you'll do

  • Own the technology profile, strategy, portfolio, and operational performance to advance therapeutic-area science and external innovation.
  • Partner with the Data, Data Science and AI organization to align technology and data products with scientific priorities.
  • Ensure all scientific data is managed according to FAIR principles to ensure it is findable, accessible, interoperable, and reusable.
  • Manage the lifecycle of platforms including laboratory systems, research data platforms, and clinical technologies.
  • Develop multi-year roadmaps for technology, data, and AI capabilities aligned with therapeutic strategies and enterprise standards.
  • Translate complex scientific needs into scalable, reusable, and measurable technology products using Agile delivery practices.
  • Establish technical patterns for the secure integration of external collaborations, licensed assets, and acquired data.
  • Lead and develop a multi-disciplinary team of direct reports and matrixed employees across various technical functions.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Biology, Bioinformatics, Chemistry, Medicine, or a related scientific/technical discipline is required; an advanced degree is preferred.
  • A PhD, MD, or equivalent experience in a relevant life-science, translational, clinical, or data discipline is an advantage.
  • Minimum of 10 years of technology or digital product experience in pharmaceutical R&D is required.
  • Minimum of 5 years leading people and/or substantial matrixed teams is required.
  • Working knowledge of the pharmaceutical R&D value chain including target discovery, validation, lead optimization, and clinical trial design is required.
  • Experience with large-scale scientific data, laboratory, knowledge-management, portfolio, biomarker, or clinical technology platforms is preferred.
  • Prior experience leading technology in pharmaceutical or biotechnology discovery, translational medicine, or therapeutic-area research is strongly preferred.
  • Experience supporting external scientific collaborations, due diligence, and data acquisition in the pharma or biotech ecosystem is preferred.

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