This job posting is anticipated to close on Aug 01 2026. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.
Description
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 MedTech, 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 jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Cambridge, Massachusetts, United States of America, Horsham, Pennsylvania, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of AmericaJob Description:
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Position Summary
The Principal Scientific Data Scientist will lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
This individual will be responsible for creating scalable, interoperable, and AI-ready data products that connect discovery, preclinical, clinical, safety, and real-world evidence domains, and enable the creation of validated-biomarker data assets . The role will establish the data architecture, integration strategy, metadata framework, and productization approach needed to support semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI applications.
Working closely with scientific stakeholders, knowledge architects, AI engineers, and Amazon BioDiscovery platform teams, this individual will define the future-state scientific data ecosystem and ensure high-quality data products are delivered to support translational science and patient safety initiatives.
Build AI reasoning models to support data-driven translational safety decision making.
Mission
Build and operationalize AI-ready scientific data products that enable seamless integration, harmonization, and reuse of data across the drug discovery and development lifecycle.
Key Responsibilities
Scientific Data Product Strategy
Define and execute a scientific data product strategy supporting:
Discovery Research
Translational Science
Preclinical Safety
Clinical Development
Pharmacovigilance
Real-World Evidence
Establish reusable, scalable data products that support analytics, AI, knowledge graph, and scientific reasoning use cases.
Develop product roadmaps aligned with organizational priorities and scientific objectives.
Data Integration Architecture
Design integration frameworks connecting heterogeneous scientific data sources.
Define data harmonization strategies spanning:
SEND
SDTM
ADaM
MedDRA
Imaging
Omics
Biomarker
Pathology
Real-world data
Create architecture patterns supporting cross-domain data interoperability.
Digital Platform Leadership
Define the implementation strategy for scientific data products deployed on AWS
Partner with Amazon engineering and deployed platform resources to deliver scalable data pipelines and data products.
Provide technical leadership and architectural oversight for implementation activities aligned recommendations from the Data Strategy group.
Ensure digital solutions align with enterprise architecture, security, governance, and AI-readiness requirements.
Data Product Development
In collaboration with Data Strategy group, lead design and implementation of:
Curated datasets
Semantic-ready data products
Feature stores
Metadata products
Scientific data services
AI-ready data assets
Establish reusable patterns for data onboarding, transformation, validation, and publication.
Data Quality & Metadata
Define metadata standards and data quality frameworks.
Implement lineage, provenance, traceability, and FAIR data principles.
Establish monitoring and quality controls for scientific data products.
Data Analysis:
Build predictive AIML models to support translational safety decision making.
Stakeholder Engagement
Partner with:
Discovery Scientists
Toxicologists
Clinical Scientists
Safety Scientists
Data Scientists and Data Strategy business partners.
Knowledge Architects
AI Engineers
Translate scientific questions into scalable data products and technical solutions.
Required Qualifications
Education
Master’s or PhD in:
Computer Science
Data Engineering
Bioinformatics
Biomedical Informatics
Information Systems
Computational Biology
Related scientific discipline
Experience
5+ years of experience in scientific data engineering, data architecture, data products, or life sciences informatics.
Demonstrated experience designing and delivering enterprise-scale scientific data products.
Experience supporting drug discovery, development, clinical research, or pharmacovigilance organizations.
Experience developing predictive models in drug discovery, development, clinical research, or pharmacovigilance organizations.
Technical Expertise
Strong expertise in:
Data architecture
Data modeling
Data product design
Cloud-native data platforms
Metadata management
Data governance
Predictive model development
Experience with:
AWS-based data platforms
Data lakes and lakehouses
Distributed data processing
APIs and data services
Data cataloging and lineage solutions
Scientific Data Standards
Strong familiarity with:
SEND
SDTM
ADaM
MedDRA
Preferred familiarity with:
FHIR
OMOP
DICOM
Biomarker and omics data standards
Preferred Qualifications
Experience supporting knowledge graphs, semantic architectures, or GraphRAG initiatives.
Experience building AI-ready data products and feature stores.
Familiarity with ontology-driven data integration approaches.
Experience partnering with cloud providers or external platform teams.
Experience operating in highly regulated scientific environments.
Leadership Competencies
Strategic thinker capable of defining long-term data product roadmaps.
Strong communicator who can bridge scientific and technical communities.
Ability to influence cross-functional teams without direct authority.
Strong execution focus with a bias toward scalable, reusable solutions.
Passion for transforming biomedical R&D through data, AI, and modern engineering practices.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
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Required Skills:
Preferred Skills:
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow AnalysisThe anticipated base pay range for this position is :
$117,000.00 - $201,250.00Additional Description for Pay Transparency:
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)).This position is eligible to participate in the Company’s long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
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 period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
