Technical Lead, Therapeutic Area Enabling Innovation
Listed on 2026-07-25
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IT/Tech
AI Engineer (Applied/Software), Data Scientist, Data Engineering, Data Science Manager
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, and solutions are personal.
Through our expertise in Innovative Medicine and Med Tech, 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 humanity.
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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 FunctionTechnology Product & Platform Management
Job Sub FunctionSoftware Engineering – Product Life Cycle
Job CategoryScientific/Technology
All Job Posting LocationsCambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America
Job DescriptionWe are searching for the best talent for a Technical Lead, Therapeutic Area Enabling Innovation, to be based in one of the following locations:
Raritan, NJ;
Spring House, PA;
Cambridge, MA;
Beerse, BE.
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements.
While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
- United States (Raritan, Spring House or Cambridge) - Requisition Number: R-084845
- Belgium (Beerse) - Requisition Number: R-090021
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
This candidate will support research and drug discovery across Oncology, Immunology, Neuroscience, and other therapeutic areas. The Therapeutic Area (TA) Enabling Innovation team is uniquely positioned to deliver data, workflow, and knowledge solutions that accelerate scientific discovery and enable evidence-driven decision-making across the research-to-development continuum.
By connecting experimental data, computational workflows, and institutional knowledge, we are advancing how scientists design experiments, generate insights, and translate findings into therapeutic impact. In close partnership with scientific teams and the broader IM JJT organization, we develop and scale next-generation platforms and capabilities that improve speed, quality, and reproducibility across drug development.
AboutThe Role
The Technical Lead, Therapeutic Area Enabling Innovation role partners closely with Product Managers to define and deliver scalable, high-impact technology solutions that support scientific workflows and data-driven research.
The individual will operate at the intersection of laboratory science, data engineering, cloud platforms, AI/ML, and knowledge management, helping bridge instrument-generated laboratory data through analytical workflows into decision-ready scientific knowledge. This includes capabilities spanning instrument connectivity, experimental workflows, multi-omics analytics, knowledge graphs, AI-enabled discovery, and translational research platforms.
The ideal candidate is a strong solution architect and technical leader with experience in data-intensive environments, capable of guiding teams through design decisions, evaluating tradeoffs, and enabling delivery of reliable, scalable products. This role is accountable for ensuring that technical solutions support business outcomes while aligning to enterprise standards and long-term product strategy.
Key ResponsibilitiesLead technical solutioning for Therapeutic Area products
- Define end-to-end technical architectures across scientific workflows, data platforms, AI solutions, and knowledge management ecosystems.
- Ensure alignment to enterprise architecture, data, and security standards
- Promote reuse of existing platforms and shared capabilities
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