What's the project?Our client is a general powerhouse in the pharmaceutical and innovative medicine sector. They are currently pioneering a massive shift in how we treat complex, immune‑mediated diseases. Instead of just managing symptoms, the goal here is radical: disease state reversal.By merging massive, cutting‑edge biological datasets (single‑cell genomics, proteomics, spatial transcriptomics) with advanced generative AI and machine learning, they are building a computational “time machine”. The project focuses on predicting exactly how human cells will respond to specific genetic or chemical tweaks, allowing scientists to find the perfect therapeutic targets before anyone ever steps into a physical lab.And your role in this?As a Senior Scientist in Multiomics Perturbation, you are the architect of this predictive framework. You’ll bridge the gap between heavy‑data‑science and real‑world biology, taking complex data and turning it into therapies that will change lives. Your ultimate objective? Make target discovery faster, smarter,



and precisely accurate for next‑generation treatments.More specifically, you will:Lead the design and tuning of AI/ML models that mix genetic and chemical screening data to predict how to flip the switch on diseased cells.Build clever phenotype‑scoring systems to measure how effective cellular tweaks are.Develop advanced computational methods to identify pathways and target combinations that stop disease.Team up with experimental biologists and safety leads to ensure digital predictions translate into real‑world lab success.Set up scalable, reproducible pipelines (such as Nextflow) and keep workflows running smoothly.Ok, what should you bring?We’re looking for a brilliant mind who loves solving biological puzzles with code. Here is your profile checklist:The Must‑Haves (Your Superpowers)A Ph.D. in Bioinformatics, Computational Biology, Data Science, AI, or a quantitatively similar field.2+ years of experience wrangling large‑scale mul

📌 Senior Data Scientist (Madrid)
🏢 Blu Selection
📍 Madrid