Senior Scientist, Multiomic Therapeutics

Johnson & Johnson Johnson & Johnson · Pharma · Madrid, Spain +1

Senior Scientist role focused on computational biology and AI/ML model development for therapeutic discovery, specifically an AI-powered siRNA design and off-target prediction framework. Requires expertise in omics data analysis, AI/ML, and pipeline development.

What you'd actually do

  1. 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 developmentof off-target assessment‑wide off‑target assessment
  2. 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.
  3. Provide technical leadership and set project strategies, technical milestones, and delivery timelines. Ensure computational workflows follow best practices for data integrity, reproducibility, and engineering.
  4. Communicate the approach and findings effectively through internal/external reports, presentations, and publications. Enhance the organization’s Omics data foundation and technical capabilities.

Skills

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.

Nice to have

  • 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.
  • 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

What the JD emphasized

  • 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.

Other signals

  • AI/ML model development
  • computational biology
  • integrative omics strategies
  • siRNA design and off-target prediction framework