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Johnson & Johnson is a global healthcare company working across innovative medicine and medical technology. Its teams develop solutions in oncology, immunology, neuroscience, specialty ophthalmology, interventional care, and orthopaedics, combining science and technology to address complex health needs. The company also emphasizes health equity, environmental sustainability, diversity, and inclusion as it serves providers, patients, and communities worldwide.
Senior Manager, Neuroscience Data Transformation — Johnson & Johnson Hybrid
Lead the transformation of clinical and multi-omics neuroscience data into governed, AI-ready products at Johnson & Johnson Innovative Medicine. This senior role oversees data pipelines, interoperability, governance, and enablement for data science teams.
United States
Massachusetts
New Jersey
Pennsylvania$137,000 – $235,750 / year
HybridFull-timeSeniorEnglish RequiredData ScientistDescription
- Develop and operationalize scalable, governed clinical and omics data products.
- Manage the full data product lifecycle, from requirements and modeling through processing, quality controls, metadata, lineage, versioning, access, and continuous evolution.
- Create scalable models for AI-extracted neuroscience clinical data from scientific literature, including text and image sources.
- Build and optimize Nextflow and Tower pipelines that integrate AWS S3, Snowflake, and TileDB.
- Process proteomics, transcriptomics, metabolomics, and spatial omics datasets from neuroscience studies.
- Create reusable modules that harmonize assay outputs for data science and AI use cases.
- Work with Solution Architecture, Vector Data Engineering, and Governance teams to apply FAIR principles and compliance standards.
- Lead pipeline performance improvements, code reviews, and software development best practices.
- Collaborate with AI/ML Core and Data Science teams to provide high-quality, AI-compatible datasets.
- Mentor junior engineers and advance workflow standardization and optimization across studies.
- Strengthen interoperability across discovery, translational, and clinical data layers.
- Deliver standardized, AI-ready clinical and multi-omics assets alongside reusable compliant workflows.
Requirements
- Master’s or PhD in Bioinformatics, Data Engineering, Computer Science, or a related field.
- At least five years of experience developing data pipelines in life sciences, drug discovery research, or analytics environments.
- Practical experience with clinical data standards and models, including CDISC SDTM/ADaM, FHIR, and OMOP.
- Practical experience developing multi-omics workflows involving proteomics, RNA-seq, metabolomics, or single-cell data.
- Practical experience applying embedding or vector representation methods to scientific data integration.
- Proficiency with Nextflow, AWS, and Python or Bash scripting.
- Familiarity with Snowflake, TileDB, and scientific data formats.
- Required familiarity with clinical trial data and scientific literature.
- Industry and/or neuroscience experience is preferred.
- Experience in neurodegeneration, neuropsychiatry, or ophthalmology is preferred.
- Strong attention to detail and commitment to data quality and reproducibility.
Benefits
- Eligibility for an annual performance bonus.
- Medical insurance coverage.
- Dental insurance coverage.
- Vision insurance coverage.
- Life insurance coverage.
- Short- and long-term disability insurance.
- Business accident insurance.
- Group legal insurance.
- Company-consolidated pension plan.
- 401(k) savings plan.
- Vacation of up to 120 hours per calendar year.
- Sick time of up to 40 hours per calendar year.
- Holiday pay, including up to 13 floating holidays per calendar year.
- Work, personal, and family time of up to 40 hours per calendar year.
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