Principal Developer, Oncology Data & AI Systems (AI)

Location: Onsite in Cambridge, MA; Spring House, PA; Titusville, NJ; Raritan, NJ; or San Diego, CA. No remote option. Periodic travel of approximately 10–15% may be required.

Base pay: $117,000–$201,250 annually, plus potential performance bonus.

Company

Johnson & Johnson develops healthcare, Innovative Medicine, and MedTech solutions focused on preventing, treating, and curing complex diseases.

What you will do

• Partner with Oncology R&D and Data Science stakeholders to deliver data, AI/ML, and GenAI use cases.
• Own the architecture, development, documentation, and lifecycle management of Oncology R&D data products.
• Integrate and harmonize clinical, pre-clinical, real-world, biomarker, genomics, and other omics data.
• Design and optimize structured and unstructured data pipelines using Python, R, SQL, AWS, and related technologies.
• Implement data quality controls, automated monitoring, performance metrics, lineage, metadata, and versioning.
• Collaborate with data engineers, data scientists, knowledge graph engineers, enterprise architecture, IT, and external partners.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Life Sciences, or a related field; an advanced degree is preferred.
• At least 5 years of data engineering experience, including data modeling, schema design, and database architecture.
• Strong proficiency in Python, R, and SQL for processing, transformation, and automation of large-scale datasets.
• Hands-on experience with cloud data platforms, preferably AWS services such as Redshift, FSx, Glue, and Lambda.
• Experience with relational, NoSQL/unstructured, and graph data technologies, plus production troubleshooting and data quality management.
• Willingness to work onsite at one of the listed United States locations and travel periodically for conferences and internal meetings.

Nice to have

• Healthcare data standards experience, including CDISC, HL7, FHIR, SNOMED CT, OMOP, or DICOM.
• Experience with high-dimensional data and imaging.
• Familiarity with MLOps and GenAI model deployment.

Culture & Benefits

• Inclusive work environment guided by the company’s Credo and focused on patient impact.
• Medical, dental, vision, life insurance, disability, business accident, and group legal insurance may be available.
• Retirement pension and 401(k) savings plans may be available.
• Vacation, sick time, holiday pay, and personal and family time are provided according to applicable policies.
• Annual performance bonus eligibility may apply.