Neuroscience Data Transformation Lead

Johnson & Johnson Innovative Medicine; Raritan (NJ); On-site; USD 137,000 - 236,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks a Senior Manager of Data Transformation to lead scalable, AI-ready data products from raw data to interoperable assets. You will own requirements, modeling, processing, quality, metadata, lineage, and versioning for clinical and omics data.

You will collaborate across Data Science, R&D and governance teams to ensure data is reusable, compliant, and ready for AI applications, driving translation and discovery.

Qualifications

• MS/PhD in Bioinformatics, Data Engineering, or Computer Science.
• 5+ years of experience developing data pipelines in life sciences/drug discovery.
• Hands-on experience with clinical data formats (CDISC SDTM/ADaM, FHIR, OMOP).
• Hands-on experience with multi-omics workflows (proteomics, RNA-seq, metabolomics, etc.).
• Proficiency with Nextflow, AWS, and scripting in Python or Bash.
• Familiarity with Snowflake, TileDB, and scientific data formats.
• Experience with Neuroscience data preferred; detail-oriented and data quality focused.

Responsibilities

• Design scalable data models for AI-derived neuroscience data.
• Build Nextflow/Tower pipelines with AWS S3, Snowflake, TileDB integration.
• Create reusable modules standardized for data science and AI.
• Collaborate with governance and architecture teams to enforce FAIR and compliance.
• Lead code reviews and improve workflow practices.
• Partner with AI/ML teams to prepare high-quality datasets for modeling.
• Mentor junior engineers and standardize workflows.

Skills

Data engineering leadership

Clinical data knowledge

Multi-omics integration

Python & Bash scripting

Collaborative leadership

Education

MS/PhD in Bioinformatics, Data Engineering, or Computer Science

Tools

Nextflow

AWS

Snowflake

TileDB

Job description

Johnson & Johnson Innovative Medicine seeks a Senior Manager of Data Transformation to lead scalable, AI-ready data products from raw data to interoperable assets. You will own requirements, modeling, processing, quality, metadata, lineage, and versioning for clinical and omics data.

You will collaborate across Data Science, R&D and governance teams to ensure data is reusable, compliant, and ready for AI applications, driving translation and discovery.