Principal Developer, Oncology Data & AI Systems (2 available)

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.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge Massachusetts United States of America Raritan New Jersey United States of America San Diego California United States of America Spring House Pennsylvania United States of America Titusville New Jersey United States of America

Job Description:

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 and Johnson Innovative Medicine is recruiting a Principal Developer Oncology Data & AI Systems (2 available positions) to strengthen the AI-ready data foundation that powers Oncology R&D. This role will lead efforts to modernize and standardize data capture translate scientific and business needs into engineering requirements and design build and optimize scalable data pipelines and workflows that ensure data is high-quality well-governed interoperable and fit for advanced analytics and AI/ML.

This role focuses on data science initiatives across Oncology R&D including Clinical Pre-Clinical RWD and omics platforms by enabling trusted reusable datasets and foundational data products that accelerate downstream insights and model role will be a leading data science contributor and creative problem solver with developing AI-ready data and other routinely used data applications that improve speed reliability and impact of data-driven decision making for Oncology R&D.

This position will be located in either Cambridge MA; Spring House PA; Titusville NJ; Raritan NJ; or San Diego CA (no remote option).

Key Responsibilities:

• Partner with Oncology R&D and Data Science stakeholders to identify prioritize and deliver high-impact data AI/ML and GenAI use cases that accelerate scientific discovery study execution and evidence generation.
• Own the end-to-end design build and lifecycle management of Oncology R&D data products including 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/other omics and pre-clinical research systems to create trusted reusable AI-ready datasets .
• Co-develop an AI-ready data ecosystem in collaboration with Data Product Engineers Data Scientists Knowledge Graph Engineers Enterprise Architecture and ITenabling advanced analytics ML and GenAI applications.
• Translate complex scientific clinical and operational needs into scalable engineering solutions ensuring alignment with Oncology R&D priorities enterprise data standards and interoperability requirements.
• Design and optimize data pipelines for structured and unstructured data leveraging Python R SQL AWS services and other relevant technologies to improve throughput reliability and maintainability.
• Implement robust data quality and reliability controls including validation frameworks automated monitoring and KPI-driven measurement of data product performance adoption and business impact.
• Establish strong data governance foundations by maintaining data lineage metadata and versioning practices that support transparency traceability reproducibility and compliance with internal and regulatory expectations. Embed FAIR data principles and compliance requirements into workflows

Required Qualifications:

• Bachelors Degree in Computer Science Engineering Life Sciences or other relevant field. Advanced degree preferred
• 5 years of experience in data engineering including data modeling schema design and database architecture preferably in the healthcare industry
• Demonstrated proficiency in data engineering tools such as 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 working with multiple data storage patterns including relational NoSQL/unstructured and graph data technologies (e.g. knowledge graphenabling platforms). Strong analytical and problem-solving skills with the ability to troubleshoot 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.
• Demonstrated strength in stakeholder management including requirements discovery business analysis and planning; ability to translate conversations into clear user stories engineering requirements and executable delivery plans.
• Ability to manage multiple concurrent projects 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.

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 GenAI model deployment.

This position will be located in either Spring House PA; Titusville NJ; Raritan NJ; San Diego CA; or Cambridge MA (no remote option) and may require up to approximately 10% travel.

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.

If you are under 18 years of age you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment as well as get a parents consent for the background check.

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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Required Skills:

Preferred 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

Required Experience:

Staff IC