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 controls. Proficient in utilizing Nextflow, AWS, and Python for data pipeline development in life sciences, particularly within Neuroscience.

Highest-signal resume keywords

Data Pipeline DevelopmentNextflow Pipeline OptimizationClinical Data Formats (CDISC, FHIR, OMOP)Multi-Omics Workflows (Proteomics, RNA-seq, Metabolomics)AI-Compatible Dataset Delivery

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Hard Skills

Data ModelingData ProcessingQuality ControlMetadata ManagementVersioningScripting (Python, Bash)Data Integration TechniquesData Science ApplicationsClinical Data AnalysisWorkflow Standardization

Soft Skills

Detail-OrientedMentoringCollaborationCommitment to Data QualityProblem-Solving

Tools & Technologies

NextflowAWSSnowflakeTileDBAI/ML ToolsData Governance ToolsData Visualization ToolsVersion Control SystemsData Processing FrameworksScientific Data Formats

Industry Keywords

BioinformaticsData EngineeringLife SciencesDrug DiscoveryNeuroscienceClinical TrialsOmics DataNeurodegenerationNeuropsychiatryOphthalmology

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 ongoing evolution
Design and implement scalable data models for AI-extracted Neuroscience clinical data from diverse sources and data types
Design and optimize Nextflow/Tower pipelines integrating AWS S3, Snowflake, and TileDB for large-scale multi-omics data processing
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

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 (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
Industry and/or Neuroscience experience preferred
Experience emphasizing Neuroscience (Neurodegeneration, Neuropsychiatry, or Ophthalmology) preferred
Detail-oriented, with strong commitment to data quality and reproducibility

Benefits

Comp & perks

Annual performance bonus
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Company-sponsored pension plan
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