Senior Manager, Data Transformation - Neuroscience
About The Position
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 https://www.jnj.com/innovative-medicine 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. Position Summary: 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.
Requirements
- 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.
- 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 clinical trial data and scientific literature is required.
Nice To Haves
- Industry and/or Neuroscience experience are preferred.
- Familiarity with Snowflake, TileDB, and scientific data formats.
- Experience with an emphasis on Neuroscience (Neurodegeneration, Neuropsychiatry, or Ophthalmology) is preferred.
- Detail-oriented, with strong commitment to data quality and reproducibility.
Responsibilities
- 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.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- 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
- Work, Personal and Family Time - up to 40 hours per calendar year
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What This Job Offers
Job Type
Full-time
Career Level
Senior
