Principal Data Scientist - Immunology - (2 positions) (Raritan)

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

Scientific/Technology

All Job Posting Locations

Cambridge, Massachusetts; Raritan, New Jersey; San Diego, California; Spring House, Pennsylvania; Titusville, New Jersey

Job Description

Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist – Knowledge Graph Engineer (Immunology) to join our Immunology R&D Data Science & Digital Health team (DSDH). This role will be located on site at one of our offices in Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (no fully remote option available).

Primary Responsibilities

• Be a key contributor to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability, focusing on Immunology R&D data.
• Apply graph-based data modeling for efficient Immunology 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 data sets.
• Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using resource description framework (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 Immunology 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 Immunology 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, emphasis on semantic technologies for biomedical application.
• 5+ years professional experience in health informatics.
• Demonstrated experience in large‑scale knowledge graph construction, ontology development, pharmaceutical or healthcare domains 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. Must have the capacity to translate discussions into user requirements and project plans.
• Ability to manage a numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
• Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

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

Time Off Benefits

Vacation – up to 120 hours per calendar year

Sick time – up to 40 hours per calendar year

Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time – up to 40 hours per calendar year

Equal Opportunity Employment

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.

Accommodations

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 can contact us via internal employees may contact AskGS for accommodations.

Compensation and Benefits

The anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance‑based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.