Data Transformation Manager

Johnson and Johnson; Cornellà de Llobregat; Híbrido; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A leading healthcare company seeks a Data Transformation Manager to develop workflows that transform raw omics and imaging data into AI-ready datasets. This hybrid role requires at least 3 years of experience in data pipelines and proficiency in Nextflow and AWS. The ideal candidate will collaborate on data quality and governance, ensuring reproducibility across studies. Join to impact health innovations.

Formación

• 3 years of industry experience developing data pipelines in research or analytics environments.
• Working knowledge of omics data types including proteomics and transcriptomics.
• Detail-oriented with strong commitment to data quality and reproducibility.

Responsabilidades

• Build and maintain Nextflow/Snakemake pipelines for data ingestion, QC, and transformation.
• Convert raw assay outputs into harmonized, AI-ready formats.
• Collaborate with Solution Architect and Governance Teams.

Conocimientos

Data Analysis

Data Science

Data Engineering

Data Privacy Standards

Data Visualization

Scripting in Python

Educación

BS / MS / Ph.D in Bioinformatics, Data Engineering, or Computer Science

Herramientas

Nextflow

AWS

Snowflake

TileDB

Descripción del empleo

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 https : / / www.jnj.com

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 a Data Transformation Manager. This position has a primary location of Barcelona, Spain.

The 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 https : / / www.jnj.com / innovative-medicine

Position Summary :

Data Transformation Managerdevelops reproducible workflows that transform raw omics and imaging data into standardized, analysis- and AI-ready datasets.

This role applies both computational and domain knowledge (e.g.,proteomics,transcriptomics) to ensure data quality, consistency, and interoperability across scientific studies.

Key Responsibilities :

• Build and maintainNextflow / Snakemakepipelines for data ingestion, QC, and transformation of discovery datasets (e.g.,proteomics,RNA-seq,spatial omics,imaging)
• Convert raw assay outputs intoharmonized, AI-ready formatsthat can support data science, machine learning, and agentic exploration.
• Apply metadata and governance standards (FAIR, lineage, retention) to ensure data reproducibility and traceability.
• Collaborate with theSolution ArchitectandGovernance Teamsto align workflows with architectural standards and compliance frameworks.
• Document, test, and version-control workflows for scalability and reusability across studies.

Qualifications :

• BS / MS / Ph.D inBioinformatics, Data Engineering, or Computer Science.
• 3 years of industry experience developing data pipelinesin research or analytics environments.
• Proficiency withNextflow,AWS, and scripting inPythonorBash.
• Working knowledge ofomics data types, includingproteomics,transcriptomics, and / orspatial omics.
• Familiarity withSnowflake,TileDB, and scientific data formats (FASTQ, HDF5, H5MU).
• Detail-oriented with strong commitment to data quality and reproducibility.

Strategic Impact :

• Discovery datasets consistently delivered as standardized, AI-ready assets.
• Workflows accommodate multiple omics modalities and scale across projects.
• Improved data quality and transparency for downstream analytics and modeling.

#JRDDS

Required Skills : Preferred Skills :

Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis