Principal Scientist, Data Science – Translational Knowledge Engineering

Johnson & Johnson

Principal Scientist, Data Science at Johnson & Johnson leading AI-driven reasoning across drug discovery. Responsible for semantic architecture and knowledge graph design while collaborating with cross-functional teams.

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and implementing semantic and knowledge architecture for AI-driven reasoning in drug discovery and development, with a strong focus on ontology development, knowledge representation, and semantic interoperability.

Highest-signal resume keywords

Ontology DevelopmentKnowledge RepresentationSemantic TechnologiesBiomedical InformaticsRDF Graph Architectures

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Ontology DevelopmentKnowledge RepresentationRDFOWLSHACLSPARQLSemantic Web TechnologiesEnterprise Ontology ManagementSemantic APIsFAIR Data Principles

Tools & Technologies

GraphRAGAgentic AIKnowledge Graph Design

Certifications & Qualifications

PhDMaster’s Degree

Industry Keywords

Translational ScienceToxicologySafety PharmacologyClinical DevelopmentPharmacovigilanceRegulatory Data StandardsSENDSDTMADaMMedDRA

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

PhD or Master’s degree in: Biomedical Informatics, Bioinformatics, Computational Biology, Computer Science, Information Science, Knowledge Engineering, Related scientific discipline
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.
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.
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.

Benefits

Comp & perks

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