Senior Data Transformation Manager

hace 2 semanas

Madrid, Madrid, España Johnson & Johnson Innovative Medicine A tiempo completo

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain

Job Description:

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Data Transformation Manager.  This position has a primary location of Barcelona, Spain. Secondary location is Madrid. This is a hybrid role.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work in 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  

Position Summary: 

Senior Data Transformation Manager leads the development of scalable, governed workflows that convert raw omics into interoperable, AI-ready data assets.

This role requires both deep technical expertise and understanding of biological and clinical data, enabling cross-domain integration for discovery and translational research.

Key Responsibilities: 

  • Design and optimize Nextflow/Tower pipelines integrating AWS S3, Snowflake, and TileDB for large-scale data processing across proteomics, transcriptomics, metabolomics, and spatial omics.
  • 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.

Qualifications:

  • MS/PH.D in Bioinformatics, Data Engineering, or Computer Science.
  • 5+ years of industry experience developing data pipelines in research or analytics environments.
  • 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 data formats and models (e.g., CDISC SDTM/ADaM, FHIR, OMOP)
  • Detail-oriented with strong commitment to data quality and reproducibility.

Strategic Impact: 

  • Multi-omics and clinical data delivered as standardized, AI-ready assets for analytics and modeling.
  • Improved interoperability between discovery, translational, and clinical data layers.
  • Reusable, compliant workflows accelerating scientific and AI insights across the enterprise.

#JRDDS

Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

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