Principal Scientist, Data Science – Data Products, Integration & Analysis

Johnson & Johnson

Principal Scientist leading the design and implementation of scientific data products at Johnson & Johnson. Specializing in AI-enabled drug discovery integration strategies and collaboration across diverse scientific domains.

Posted 7/17/2026full-timeSpring House • Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and implementing AI-enabled scientific data products and integration strategies, with a strong focus on data architecture, predictive model development, and cloud-native data platforms. Proven ability to collaborate with engineering teams to deliver scalable data solutions in drug discovery and clinical research.

Highest-signal resume keywords

Data ArchitecturePredictive Model DevelopmentAWS-Based Data PlatformsData GovernanceScientific Data Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData Product DesignMetadata ManagementCloud-Native Data PlatformsDistributed Data Processing

Tools & Technologies

Data LakesAPIsData Cataloging SolutionsData Lineage Solutions

Industry Keywords

SENDSDTMADaMMedDRAFHIROMOPDICOMBiomarker Data StandardsOmics Data Standards

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development
Create scalable, interoperable, and AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence domains
Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI applications
Define the future-state scientific data ecosystem
Build AI reasoning models to support data-driven translational safety decision making
Partner with Amazon engineering and deployed platform resources to deliver scalable data pipelines and data products
Define implementation strategy for scientific data products deployed on AWS, ensuring alignment with enterprise architecture, security, governance, and AI-readiness requirements

Requirements

What you’ll need

Master’s or PhD in: Computer Science, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology or Related scientific discipline
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
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
Strong familiarity with: SEND, SDTM, ADaM, MedDRA
Preferred familiarity with: FHIR, OMOP, DICOM, Biomarker and omics data standards

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
10 days Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year