Principal Scientist, Data Science – R&D

Johnson & Johnson

Principal Data Scientist-Engineer building AI-ready data pipelines for Johnson & Johnson’s therapeutics development and supply operations. Partnering across science, manufacturing, quality, and supply chain to enable analytics and AI/ML innovation.

Posted 8/11/2026full-timeSpring House • Pennsylvania • 🇺🇸 United StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, ensuring data quality and compliance while collaborating with cross-functional teams to deliver high-quality data products. Proficient in utilizing modern engineering tools and cloud architectures to support data-driven decision-making in Therapeutics Development & Supply.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL ProficiencyCloud-Based ArchitecturesData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData IntegrationData Repository DevelopmentData VersioningData Lineage TrackingDatabase DesignNoSQL DatabasesGraph DatabasesData Quality StandardsAI/ML Readiness

Soft Skills

Analytical SkillsProblem-SolvingStakeholder ManagementOrganizational SkillsAdaptability

Tools & Technologies

AWS ServicesSnowflakeRedshiftDBTDevOps Integration

Certifications & Qualifications

Advanced Degree in EngineeringData ScienceLife SciencesComputer Science

Industry Keywords

Therapeutics DevelopmentRegulated Data EnvironmentsCDISCHL7FHIROMOPDICOMManufacturing StandardsKnowledge Graph ArchitecturesHigh-Dimensional Data

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudNoSQLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing Therapeutics Development & Supply data
Create and optimize structured and unstructured data flows using Python, R, SQL, DBT, cloud services, and modern engineering tools
Develop and maintain TDS-specific data repositories and enterprise-level data models
Ensure data is structured, versioned, traceable, and semantically aligned for AI/ML readiness
Translate business needs into high-quality data products and engineering requirements with data scientists, domain experts, and digital technology teams
Implement semantic models and future-proof data architectures with ontology and knowledge graph teams
Define data quality and performance standards and KPIs for accuracy, completeness, and consistency
Apply data versioning and lineage tracking for compliance, traceability, and audit readiness
Follow software development best practices, including code versioning, DevOps integration, and documentation
Engage scientific, technical, and operations stakeholders to understand requirements, design solutions, and drive adoption
Support multiple concurrent projects and manage priorities across the TDS network

Requirements

What you’ll need

Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field
3+ years of experience in data engineering, including data modeling and database design
Proficiency with Python, R, SQL, and cloud-based architectures such as AWS services, Snowflake, and Redshift
Experience with NoSQL and graph databases
Strong analytical, problem-solving, and stakeholder-management skills
Ability to translate discussions into actionable requirements
Ability to drive multiple projects simultaneously with strong organizational skills and adaptability
Preferred: experience with regulated or standards-driven data environments such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards
Preferred: familiarity with high-dimensional data such as imaging and sensor data
Preferred: experience connecting to or feeding MLOps and model deployment workflows
Preferred: knowledge of manufacturing systems, laboratory information systems, or industrial data systems
Preferred: experience with knowledge graph architectures

Benefits

Comp & perks

Company consolidated retirement plan (pension)
Savings plan (401(k))
Eligibility to participate in the long-term incentive program
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year; 48 hours per calendar year for employees who reside in Colorado; 56 hours per calendar year for employees who reside in Washington
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
Inclusive interview process and disability accommodation support