Director, AI-Enabled Evidence Science
Biopharma Asia
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Job summary
Johnson & Johnson Innovative Medicine is recruiting a Director of Data Science – AI Evidence Extraction to lead AI-enabled evidence extraction capabilities across Neuroscience R&D. This hands-on technical leader will define architecture, data models, provenance, and validation practices, partnering with clinical, regulatory, and data teams to deliver scalable, trusted evidence assets.
The role requires 8+ years in pharma/biotech analytics, strong Python/R skills, and demonstrated
Qualifications
- PhD or MS with strong quantitative/biomedical background.
- Experience leading data-science initiatives in pharma/biotech.
- Hands-on with AI, NLP or generative AI solutions.
- Experience with systematic reviews and evidence synthesis.
- Proficiency in Python and/or R; software engineering practices.
Responsibilities
- Set strategy, roadmap, and success metrics for evidence data capabilities in Neuroscience.
- Build and deploy AI-enabled workflows for evidence identification, extraction, curation, and analysis.
- Own delivery, funding decisions, and outcomes for AI-based evidence extraction.
- Create fit-for-purpose data models, provenance, and quality controls.
Skills
Education
Tools
Job description
Johnson & Johnson Innovative Medicine is recruiting a Director of Data Science – AI Evidence Extraction to lead AI-enabled evidence extraction capabilities across Neuroscience R&D. This hands-on technical leader will define architecture, data models, provenance, and validation practices, partnering with clinical, regulatory, and data teams to deliver scalable, trusted evidence assets.
The role requires 8+ years in pharma/biotech analytics, strong Python/R skills, and demonstrated
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