Principal Developer, Oncology Data – AI Systems

Johnson & Johnson

. Partner with Oncology R&D and Data Science stakeholders to identify, prioritize, and deliver data, AI/ML, and GenAI use cases .

Posted 10/1/2026full-timeUnited StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including the design and management of data products within the oncology R&D domain. Proficient in developing scalable data pipelines and ensuring data quality while collaborating with cross-functional teams and stakeholders.

Highest-signal resume keywords

Data EngineeringPython ProgrammingAWS Cloud ServicesData GovernanceHealthcare Data Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSchema DesignDatabase ArchitectureETL/ELT DevelopmentData ProcessingData TransformationAutomationData Quality ControlKPI MeasurementMulti-Modal Data Integration

Soft Skills

Analytical SkillsProblem-SolvingStakeholder ManagementProject ManagementCross-Functional Leadership

Tools & Technologies

SQLRNoSQLGraph Data TechnologiesRedshiftFSxGlueLambdaMLOpsGenAI

Industry Keywords

Oncology R&DClinical TrialsGenomicsBiomarker LabsFAIR Data PrinciplesCDISCHL7FHIRSNOMED CTDICOM

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLNoSQLPythonSQL

About the role

Key responsibilities & impact

Partner with Oncology R&D and Data Science stakeholders to identify, prioritize, and deliver data, AI/ML, and GenAI use cases
Own the end-to-end design, build, and lifecycle management of Oncology R&D data products
Define requirements, architecture, ETL/ELT development, documentation, and operational support
Integrate and harmonize multi-modal R&D data across biomarker labs, translational platforms, clinical trials, real-world data/evidence, genomics/omics, and pre-clinical research systems
Co-develop an AI-ready data ecosystem with Data Product Engineers, Data Scientists, Knowledge Graph Engineers, Enterprise Architecture, and IT
Translate scientific, clinical, and operational needs into scalable engineering solutions
Design and optimize structured and unstructured data pipelines using Python, R, SQL, AWS, and related technologies
Implement data quality and reliability controls, validation frameworks, automated monitoring, and KPI-driven measurement
Establish data governance foundations through data lineage, metadata, versioning, FAIR data principles, and compliance workflows

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Engineering, Life Sciences, or other relevant field
5+ years of experience in data engineering, including data modeling, schema design and database architecture, preferably in the healthcare industry
Demonstrated proficiency in Python, R and SQL for data processing, transformation, and automation across large-scale datasets
Hands-on experience designing and operating cloud-based data platforms, preferably on AWS (e.g., Redshift, FSx, Glue, Lambda) or equivalent services
Experience with relational, NoSQL/unstructured, and graph data technologies
Strong analytical and problem-solving skills, including troubleshooting complex data pipeline, quality, and performance issues in production environments
Proven capability to lead cross-functional delivery and continuous improvement initiatives with multidisciplinary, distributed teams
Experience coordinating with external vendors/partners
Stakeholder management, requirements discovery, business analysis, and planning
Ability to translate conversations into user stories, engineering requirements, and executable delivery plans
Ability to manage multiple concurrent projects and prioritize work
Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings
Preferred: Advanced degree
Preferred: Experience with healthcare data standards, including CDISC, HL7, FHIR, SNOMED CT, OMOP, and DICOM
Preferred: Exposure to high dimensional data technologies, including imaging
Preferred: Familiarity with MLOps and GenAI model deployment

Benefits

Comp & perks

Annual performance bonus eligibility
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
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
Work, Personal and Family Time – up to 40 hours per calendar year