Principal Data Scientist Oncology

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.

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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 & Johnson Innovative Medicine is recruiting for a Principal Data Scientist - Oncology to join our Data Science and Digital Health team (DSDH). This position will be located at one of our offices in either Spring House PA (preferred) Cambridge MA or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan NJ locations.

ThePrincipal Data Scientist - Oncology will play a pivotal role to standardize and connect biomedical and clinical data. You will be a hands-on technical contributor with depth in semantic technologies ontology and graph data modeling and strong familiarity with the life sciences domain.

You will connect enterprise master data with R&D data across the entire product lifecycle so trusted interoperable knowledge powers analytics search and AI across Johnson and Johnson Innovative Medicine.

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 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 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 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 Masters 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 graphs 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.

This position will be located at one of our offices in either Spring House PA (preferred) Cambridge MA or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan NJ locations. (No remote option.)

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.

The anticipated base pay range for this position is $117000 to $201250. 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. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporations performance over a calendar/performance year. Bonuses are awarded at the Companys 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 Companys consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following 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
Additional information can be found through the link below. 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.

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