Senior Manager, Data Transformation – Neuroscience

Johnson & Johnson

. Lead development and operationalization of scalable, governed clinical and omics data products .

Posted 10/9/2026full-timeUnited StatesSenior💰 $137,000 - $235,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operationalizing scalable clinical and omics data products, with a strong focus on data modeling, processing, and quality control. Proficient in utilizing Nextflow, AWS, and Python for creating AI-ready datasets in the life sciences domain.

Highest-signal resume keywords

Data Pipeline DevelopmentNextflow Pipeline OptimizationClinical Data Formats (CDISC SDTM/ADaM, FHIR, OMOP)Multi-Omics Workflows (Proteomics, RNA-seq, Metabolomics)Neuroscience Experience (Neurodegeneration, Neuropsychiatry, Ophthalmology)

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ProcessingQuality ControlMetadata ManagementVersioningAI-Compatible Dataset DeliveryEmbedding TechniquesScripting (Python, Bash)Data IntegrationWorkflow Standardization

Soft Skills

Detail-OrientedMentoringCollaborationCommitment to Data QualityOptimization

Tools & Technologies

NextflowAWSSnowflakeTileDBAI/ML ToolsData Science Applications

Certifications & Qualifications

MS/PhD in BioinformaticsData EngineeringComputer Science

Industry Keywords

Life SciencesDrug DiscoveryClinical TrialsNeuroscienceOmics Data

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

Lead development and operationalization of scalable, governed clinical and omics data products
Own the end-to-end data product lifecycle, including requirements, data modeling, processing, quality controls, metadata, lineage, versioning, access, and evolution
Design and implement scalable data models for AI-extracted Neuroscience clinical data from sources such as scientific literature and data types such as text and images
Design and optimize Nextflow/Tower pipelines integrating AWS S3, Snowflake, and TileDB
Process proteomics, transcriptomics, metabolomics, and spatial omics data from Neuroscience studies
Establish reusable modules that standardize assay outputs into harmonized formats for data science and AI applications
Collaborate with Solution Architecture, Vector Data Engineering, and Governance teams to embed FAIR data principles and compliance requirements
Lead pipeline optimization, code review, and development best practices
Partner with AI/ML Core and Data Scientists to deliver AI-compatible, high-quality datasets
Mentor junior engineers and drive workflow standardization and optimization across studies
Improve interoperability between discovery, translational, and clinical data layers
Deliver standardized, AI-ready clinical and multi-omics data assets and reusable compliant workflows

Requirements

What you’ll need

MS/PhD in Bioinformatics, Data Engineering, or Computer Science
5+ years of experience developing data pipelines in life sciences/drug discovery research or analytics environments
Hands-on experience with clinical data formats and models, including CDISC SDTM/ADaM, FHIR, and OMOP
Hands-on experience with multi-omics workflows, including 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
Industry and/or Neuroscience experience preferred
Neuroscience experience in Neurodegeneration, Neuropsychiatry, or Ophthalmology preferred
Detail-oriented, with strong commitment to data quality and reproducibility

Benefits

Comp & perks

Annual performance bonus eligibility
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Company consolidated retirement plan (pension)
401(k) savings plan
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