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# Senior Manager, Data Transformation - Neuroscience

- **Company:** Johnson & Johnson
- **Location:** Raritan, NJ, United States
- **Experience:** Expert
- **Salary:** $137,000.0 - $235,750.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Bash Shell, Big Data, Bioinformatics, Clinical Data Management, Clinical Data Repository, Code Review, Encodings, Information Engineering, Data Integration, Data Transformation, Information Extraction, Python (Programming Language), Metadata, Management of Software Versions, Scripting, Fast Healthcare Interoperability Resources, Snowflake, Information Technology, Data Pipelines
- **Published:** October 10, 2026
- **Apply:** https://www.businessworkforce.com/job.asp?id=3430778028&tx=UT6258THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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 clinical data formats and models (e.g., CDISC SDTM/ADaM, FHIR, OMOP).
 * Hands-on experience with multi-omics workflows (proteomics, RNA-seq, metabolomics, or single-cell).
 * Hands-on experience with embedding or vector representation techniques for scientific data integration.
 * Proficiency with Nextflow, AWS, and scripting in Python or Bash.
 * Familiarity with Snowflake, TileDB, and scientific data formats.
 * Familiarity with clinical trial data and scientific literature is required. Experience with an emphasis on Neuroscience (Neurodegeneration, Neuropsychiatry, or Ophthalmology) is preferred.
 * Detail-oriented, with strong commitment to data quality and reproducibility.

**Strategic Impact: **

 * Improved interoperability between discovery, translational, and clinical data layers.
 * Clinical and multi-omics data delivered as standardized, AI-ready assets for analytics and modeling.
 * Reusable, compliant workflows accelerating scientific and AI insights across the enterprise.

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.

## Description

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., * 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/Tower pipelines integrating AWS S3, Snowflake, and TileDB for large-scale data processing across proteomics, 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 Teams to embed FAIR data principles and compliance requirements into workflows.
 * Lead pipeline optimization, code review, and development best practices.
 * Partner with AI/ML Core and 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.