Principal Data Scientist - Oncology6084-Janssen Research & Development, LLC Legal Entity • Spring House, Pennsylvania, United States

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Principal Data Scientist - Oncology

6084-Janssen Research & Development, LLC Legal Entity

Spring House, Pennsylvania, United States

Spring House, Pennsylvania, United States

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À propos

Principal Data Scientist - Oncology 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. Job Category: Data Science (Scientific/Technology). All Job Posting Locations: Spring House, PA (preferred), Cambridge, MA, San Diego, CA (La Jolla), Titusville, NJ, and Raritan, NJ. No remote option. Responsibilities Be a key contributor to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability, focusing on Oncology R&D data. Apply graph-based data modeling for efficient Oncology R&D organization, integration and retrieval to ensure system flexibility and long‑term maintainability. Work with a larger community of Data Scientists, Clinical Scientists and Discovery Scientists to standardize, curate and create AI‑Ready datasets. Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using RDF standards. Work with SPARQL/GraphQL/REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources. Extend and curate Oncology R&D‑relevant ontologies (e.g., diseases, drugs, targets, pathways, etc.) and maintain synonyms, cross‑references and provenance. Partner with cross‑functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study‑design tools. Work with Data Science & Digital Health colleagues, IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability and recovery operations specifically geared toward Oncology R&D needs and applications. Draft and manage documentation, such as data dictionaries, data lineage and data‑flow diagrams, to facilitate understanding of the knowledge graph. Preferred Qualifications Desired Ph.D. or Master’s degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics or related fields, with an emphasis on semantic technologies for biomedical application. 5+ years of professional experience in health informatics. Demonstrated experience in large‑scale knowledge‑graph construction, ontology development, pharmaceutical or healthcare domain integration. Programming background in parser combinators, natural language processing and linked data (RDF triple stores and property graphs). Proficiency in semantic web technologies (e.g., SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). Proven work with complex biomedical datasets (e.g., clinical, genomics, proteomics). Proficiency in various data‑storage solutions (SQL, key‑value, column, document, graph stores) and data‑modeling techniques (semantic data, ontologies, taxonomies). Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring and containerization technologies (Docker, Singularity). Demonstrated stakeholder‑management capabilities—including requirements gathering, business analysis and planning. Capacity to translate discussions into user requirements and project plans. Ability to manage numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Willingness to conduct periodic travel ( Required 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 Preferred Skills Additional domain knowledge in oncology or related fields Experience with cloud‑based graph database solutions Knowledge of regulatory compliance for health data Compensation & Benefits Anticipated base pay range: $117,000 to $201,250 per year. Eligible for an annual performance bonus in accordance with the current plan. Benefits include medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, group legal insurance and participation in the consolidated retirement plan (401(k)). Additional time off includes up to 120 hours of vacation per calendar year, up to 40 hours of sick time, up to 13 days of holiday pay (including floating holidays) and up to 40 hours of work, personal and family time per year. Equal Employment Opportunity & Diversity 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 Section503 of the Rehabilitation Act. Johnson &Johnson is committed to providing an inclusive interview process. If you have a disability and need accommodations, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS for your accommodation resource.
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Spring House, Pennsylvania, United States

Compétences linguistiques

English

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