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 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 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 Managerleads the development of scalable governed workflows that convert rawomics 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 optimizeNextflow / Towerpipelines integratingAWS S3Snowflake andTileDBfor large-scale data processing acrossproteomicstranscriptomicsmetabolomics andspatial omics. Establish reusable modules that standardize assay outputs intoharmonized formatsready for data science and AI applications. Collaborate with theSolution ArchitectVector Data Engineer andGovernance Teamsto embed FAIR data principles and compliance requirements into workflows. Lead pipeline optimization code review and development best practices. Partner withAI / ML CoreandData Scientiststo 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 inBioinformatics Data Engineering or Computer Science. 5 years of industry experience developing data pipelinesin research or analytics environments. Hands‑on experience withmulti‑omics workflows(proteomics RNA‑seq metabolomics or single‑cell). Hands‑on experience withembedding or vector representation techniquesfor scientific data integration. Proficiency withNextflowAWS and scripting inPythonorBash. Familiarity with Snowflake TileDB and scientific data formats. Familiarity withclinical data formats and models( SDTM / ADaM FHIROMOP) 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 Required Experience Manager Key Skills SQL, Data Collection, GCP, Master Data Management, R, Data Management, Clinical Trials, User Acceptance Testing, Data Warehouse, SAS, Oracle, Data Analysis Skills Employment Type Full-Time Experience years Vacancy 1 #J-18808-Ljbffr