Senior Manager, Data Transformation - Neuroscience

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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Data Analytics & Computational Sciences

Data Engineering

People Leader

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

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.

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Johnson & Johnson Innovative Medicine is recruiting for a Senior Manager, Data Transformation to join our J&J Research and Development Data, Data Science, and AI (DDSAI) team. This position will be located in either Raritan, NJ;
Spring House, PA;
Titusville, NJ; or Cambridge, MA, (no remote option), and may require some travel as needed.

The Senior Manager, Data Transformation leads the development and operationalization of scalable, governed clinical and omics data products that transform raw data into interoperable, reusable, and AI-ready assets. The role owns the end-to-end data product lifecycle, including requirements, data modeling, processing, quality controls, metadata, lineage, versioning, access, and ongoing evolution based on user needs.

This role requires both deep technical expertise and understanding of clinical and biological data, enabling cross-domain integration for discovery and translational research.

• Design and implement scalable data models for capturing AI-extracted Neuroscience clinical data from a diverse range of sources (e.g., the scientific literature) and data types (e.g., text, images).
• Design and optimize
  
  Nextflow/Towerpipelines integrating AWS S3,Snowflake, andTileDBfor large-scale data processing acrossproteomics,transcriptomics,metabolomics, and spatial omics from Neuroscience studies.
• Establish reusable modules that standardize assay outputs into harmonized formats ready for data science and AI applications.
• Collaborate with the Solution Architect,Vector Data Engineer, and Governance Teamsto embed FAIR data principles and compliance requirements into workflows.
• Lead pipeline optimization, code review, and development best practices.
• Partner withAI/ML Coreand Data Scientists to deliver AI-compatible, high-quality datasets for modeling and knowledge extraction.
• Mentor junior engineers and drive workflow standardization and optimization across studies.

• MS/PhD in Bioinformatics, Data Engineering, or Computer Science.
• 5+ years of experience developing data pipelines in a life sciences/drug discovery research or analytics environments. Industry and/or Neuroscience experience are preferred.
• Hands-on experience with…