Principal Data Scientist, R&D Oncology

Principal Data Scientist, R&D Oncology Location: Spring House, PA (preferred), Cambridge, MA, San Diego, CA (La Jolla area). Consideration may be given for Titusville, NJ and Raritan, NJ. No remote option. Travel Overview Join our Data Science and Digital Health team (DSDH) to design and implement data pipelines, engineering solutions, and AI‑ready data systems that support Oncology R&D and cross‑functional data projects. Work closely with partners from Clinical, Pre‑Clinical, Real‑World Data, and ‘omics platforms, and collaborate with technical leaders such as Ontology and Knowledge Graph engineers. Key Responsibilities Design, develop and maintain data pipelines for acquiring, managing and storing Oncology R&D data from diverse sources (e.g., biomarker labs, real‑world data sources, pre‑clinical applications). Work closely with Data Science and Oncology R&D partners to understand, document and prioritize business requirements and translate them into high‑quality data products. Collaborate with technical leaders, such as Ontology and Knowledge Graph Engineers, to design and deliver future‑proof, AI‑ready data systems aligned with Oncology R&D business needs. Develop Oncology R&D‑specific data repositories by implementing standard enterprise‑level data models and creating new data models as needed. Leverage cloud‑based technology platforms (e.g., AWS S3) to build and maintain data repositories. Create and optimize data flows for structured and unstructured data using technologies such as Python, R, SQL, AWS services and other relevant tools. Implement quality and performance standards and measure KPIs to determine accuracy and consistency. Leverage and implement data versioning and lineage tracking to support data traceability, compliance, and document data architectures and workflows. In adherence to internal standards, implement software development best practices such as code versioning and DevOps. Required Qualifications Advanced degree (Master’s or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field is strongly preferred. (Bachelor’s Degree with experience equivalency may be considered.) 3+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry. Proficiency in data engineering tools such as Python, R and SQL for data processing as well as cloud architecture (e.g., AWS services, Redshift, FSx, Glue, Lambda). Experience with unstructured database technologies (e.g., NoSQL) as well as other database types (e.g., Graph). Strong skills in analysis, problem‑solving, organizational change, project delivery, and managing external vendors. Proven record leading improvement initiatives with multi‑disciplinary and remote partners. 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 numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Preferred Qualifications Experience with healthcare data standards (e.g., CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to high‑dimensional data technologies and handling, including imaging. Familiarity with machine learning operations (MLOps) and model deployment. Compensation and Benefits Anticipated base pay range: $117,000 to $201,250. Eligible for an annual performance bonus in accordance with company guidelines. Medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Consolidated retirement plan (pension) and savings plan (401(k)). Time‑off benefits: up to 120 vacation hours per calendar year, up to 40 sick hours, up to 13 holiday days (including floating holidays), and up to 40 hours of work, personal and family time per calendar year. Equal Opportunity Employer 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. Johnson & Johnson actively seeks qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Legal Notice This position includes travel less than 15% of the time to conferences and internal meetings. #J-18808-Ljbffr