Principal Scientist, Data Science (Translational Knowledge Engineering)

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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 Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All 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 America

Job 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 Summary

The Principal Translational Knowledge Architect & Graph Lead will be responsible for designing and implementing the semantic and knowledge architecture that enables AI-driven reasoning across the drug discovery and development lifecycle.

This role will serve as the scientific and technical lead for ontology development knowledge graph design semantic interoperability and AI-ready knowledge representation. Working at the intersection of translational science patient safety biomedical informatics and artificial intelligence this individual will help establish the semantic foundation required to connect discovery biology preclinical safety clinical development real-world evidence and post-marketing safety into a unified reasoning framework.

The successful candidate will partner closely with scientists safety experts data scientists AI engineers and platform teams to create knowledge assets that support GraphRAG agentic AI scientific reasoning and next-generation translational intelligence capabilities.

Mission

Build the semantic foundation that enables AI systems to reason across discovery preclinical clinical and post-marketing domains while preserving scientific meaning provenance and translational fidelity.

Key Responsibilities

Semantic Architecture & Knowledge Modeling

• Design and maintain enterprise knowledge models spanning:

  • Discovery biology

  • Toxicology

  • Safety pharmacology

  • Pathology

  • Clinical development

  • Pharmacovigilance

  • Real-world evidence

• Develop semantic frameworks that support translational reasoning across the R&D lifecycle.

• Create conceptual logical and physical knowledge models supporting AI-enabled scientific discovery.

Ontology Engineering & Governance

• Lead ontology strategy development governance and lifecycle management.

• Curate and extend biomedical ontologies supporting translational safety and efficacy use cases.

• Establish ontology governance processes quality standards and semantic review procedures.

• Ensure semantic consistency provenance traceability and FAIR data principles.

Knowledge Graph & Reasoning Infrastructure

• Design RDF-based knowledge graph architectures and related semantic technologies.

• Develop semantic mappings inference rules and reasoning frameworks supporting scientific decision-making.

• Define knowledge representations enabling GraphRAG semantic retrieval AI agents and reasoning systems.

• Establish semantic interoperability across heterogeneous data sources and standards.

Translational Data Harmonization

• Develop semantic bridges across major industry standards and ontologies including:

  • SEND

  • SDTM

  • ADaM

  • MedDRA

  • HPO

  • MONDO

  • SNOMED CT

  • FHIR

  • OMOP

  • Cell Ontology

  • Protein Ontology

• Enable AI systems to traverse translational boundaries while preserving biological and clinical context.

Scientific & Cross-Functional Leadership

• Partner with stakeholders across Discovery Preclinical Safety Clinical Development Pharmacovigilance Data Science and Digital Health.

• Collaborate with engineering teams responsible for data products pipelines and AI platforms.

• Influence enterprise semantic strategy and represent the organization in external standards and ontology communities when appropriate.

Required Qualifications

Education

• PhD or Masters degree in:

  • Biomedical Informatics

  • Bioinformatics

  • Computational Biology

  • Computer Science

  • Information Science

  • Knowledge Engineering

  • Related scientific discipline

Experience

• 5 years of experience in biomedical informatics semantic technologies knowledge engineering or scientific data architecture.

• Demonstrated experience designing ontology-driven knowledge systems in life sciences healthcare or pharmaceutical R&D environments.

• Experience working across multiple phases of drug discovery and development.

Technical Expertise

Deep expertise in:

• Ontology development and governance

• Knowledge representation

• RDF

• OWL

• SHACL

• SPARQL

• Semantic Web technologies

Strong experience with:

• Enterprise ontology management platforms

• RDF graph architectures

• Semantic APIs

• FAIR data principles

Domain Knowledge

Strong familiarity with one or more of:

• Translational science

• Toxicology

• Safety pharmacology

• Clinical development

• Pharmacovigilance

• Regulatory data standards

Experience working with:

• SEND

• SDTM

• ADaM

• MedDRA

• HPO

• MONDO

• FHIR

• OMOP

Preferred Qualifications

• Experience building semantic foundations for AI GraphRAG agentic AI or scientific reasoning systems.

• Familiarity with LLM-based retrieval and reasoning architectures.

• Experience supporting translational safety efficacy biomarker or mechanistic reasoning use cases.

• Contributions to ontology standards open-source biomedical ontologies or scientific knowledge graph initiatives.

Leadership Competencies

• Strategic thinker capable of translating scientific challenges into scalable knowledge architectures.

• Strong communicator who can engage effectively with scientists clinicians data scientists engineers and senior leadership.

• Ability to operate in ambiguous highly cross-functional environments.

• Passion for advancing AI-enabled drug discovery and development through semantic and knowledge-driven approaches.

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 & 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 external applicants please contact us via internal employees 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 Analysis

The anticipated base pay range for this position is :

$117000.00 - $201250.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Companys 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: - Experience:

Staff IC