Director, R&D Data Science – Digital Health

Johnson & Johnson

Director of R&D Data Science at Johnson & Johnson leading analytics for patient safety signals. Overseeing a team that integrates data science with biomedical strategies for innovative healthcare solutions.

Posted 4/23/2026full-timeSpring House • New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $164,000 - $282,900 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead development and deployment of analytics & AI approaches to support safety signal detection and translational interpretation.
Apply model governance, versioning, and validation practices aligned with R&D AI expectations.
Build analytic workflows to ingest, triage, and interpret AE/safety signals with safety partners, generating actionable hypotheses.
Design, develop, and maintain scalable data pipelines to acquire, integrate, and manage relevant R&D/safety data from diverse sources.
Transform raw inputs into standardized, analysis-ready, AI-ready datasets for modeling and decision support.
Build and evolve data repositories and data models; optimize data flows for structured and unstructured data.
Implement data quality and performance standards, KPIs, and monitoring to ensure accuracy and consistency.
Establish data versioning and lineage to support traceability, compliance, and documentation of data architectures/workflows.
Partner with data engineering and ontology/knowledge-graph teams to advance harmonized scientific data models and interoperability.
Translate safety insights into clear feedback for Discovery to inform next-generation molecule design (closed-loop learning).
Define priorities and align stakeholders on a roadmap; communicate progress and recommendations to senior leadership.
Build, mentor, and lead a high-performing Data Science team for this new and exciting area.

Requirements

What you’ll need

Advanced degree (MS or PhD) in Data Science, Biostatistics, Computational Biology, Biomedical Engineering, or related field.
Significant experience leading end-to-end Data & AI solutions in biomedical/life sciences contexts, including stakeholder leadership and delivery in a matrixed environment.
Demonstrated experience designing and delivering scalable data pipelines, data models/repositories, and AI-ready data products; ability to translate business needs into engineering requirements.
Experience implementing data quality standards, lineage/versioning, and documentation that enable traceability and reproducibility.
Proficiency with modern data engineering and analytics tooling (Python/R/SQL, cloud services, workflow orchestration, version control).

Benefits

Comp & perks

Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 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
Eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

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Hard Skills & Tools

data pipelinesdata modelsdata repositoriesAI-ready datasetsdata quality standardsversioningmodel governanceanalyticssignal detectionbiostatistics

Soft Skills

leadershipstakeholder managementcommunicationmentoringteam buildingprioritizationcollaborationproblem-solvingfeedback deliveryroadmap alignment