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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 & Johnson Innovative Medicine is seeking a Senior Scientist to join the Data Science & Digital Health (DSDH) organization, based in Spain. In this role, you will drive innovative computational biology, AI/ML model development, and integrative omics strategies to accelerate discovery, optimize therapeutics and inform clinical development for precision medicine.
Key Responsibilities
You will lead the development of an AI-powered siRNA design and off-target prediction framework, to optimize siRNA selection and minimize off-target effects. You will provide technical leadership and define architecture strategies for the multiomics solution/product. You will design and execute advanced computational analyses, manipulate multiomics datasets (genomic, transcriptomic, proteomic) from human and preclinical models, drive algorithm selection/application, develop AI/ML models and build reproducible pipelines. You will perform data visualization and partner with cross‑disciplinary scientists to enable end-to-end strategy and execution.
In This Role, You Will
Develop, optimize, and deploy the design/prediction framework for siRNA candidate generation and transcriptome-wide off-target assessment, including multi-omics/species data integration and AI/ML model development of off-target assessment‑wide off‑target assessment
Engage with therapeutic discovery and preclinical safety teams to enable integration of computational predictions and experimental detection for end-to-end strategy/platform in RNA-based drug development.
Provide technical leadership and set project strategies, technical milestones, and delivery timelines. Ensure computational workflows follow best practices for data integrity, reproducibility, and engineering.
Communicate the approach and findings effectively through internal/external reports, presentations, and publications. Enhance the organization’s Omics data foundation and technical capabilities.
Qualifications
Required:
Ph.D. in Bioinformatics, Computational Biology, Data Science, Biomedical Engineering, Computer Science, Artificial Intelligence or a related field.
2+ years postdoctoral or industry experience in large-scale omics data analysis (e.g., genomics and transcriptomics), preferably in therapeutic discovery and preclinical safety.
Strong AI/ML skill set for biological datasets, including specificity/activity modeling. Experience in integrating transcriptome‑wide data and applying predictive algorithms/models.
Proficiency in high-performance and cloud-based computing, workflow design, pipeline development and optimization.
Preferred
Experience in therapeutic discovery and validation workflows. Familiarity with multi-species reference transcriptomes, microRNA and genetic variation databases, and RNA-based therapeutic prediction algorithms/models.
Familiarity with multi-omics models and integrating data across multiple platforms, datasets and batches.
Experience in defining research strategies and setting project milestones to drive innovation.
Ability to convey complex technical concepts clearly to cross-functional teams.
Impact of the Role
In this role, you will lead pioneering projects advancing therapeutic discovery and clinical development. You will work in a collaborative, cross-functional research environment at the forefront of precision medicine, with access to cutting-edge omics data and technologies. xpzdshu You will have the flexibility to work at our Spanish sites or remotely, with global team integration.
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
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