Senior Data Scientist – Multi‑omics AI & Target Identification - CDI
Core
Design and develop AI systems to learn from high-dimensional biological data (genomics, transcriptomics, proteomics) for target identification, uncovering pathway-level mechanisms, and revealing cancer vulnerabilities.
Role type
Senior IC machine-learning engineer (multi-omics & drug discovery)
Builds
AI models for target discovery, toxicity prediction, and patient stratification within pharmaceutical R&D
Domain
Life sciences / Oncology / Drug discovery
Deliverable
production ML models
Required skills
multi-omics data analysis, machine learning, deep learning, transformers, representation learning, self-supervised learning, domain adaptation, Python, PyTorch, HPC/cloud computing, bioinformatics, cancer biology, pathway-level reasoning
Preferred skills
N/A
Technologies
PyTorch, HPC, cloud environments
Responsibilities
Develop and apply ML/DL models to integrate multi-omics data for target identification; Identify molecular mechanisms and vulnerabilities across cancer indications; Design and train advanced models using representation learning and transformers; Ensure model robustness, reproducibility, and scientific validity; Scale model training on HPC/cloud; Collaborate with biologists to translate biological questions into AI solutions.
Seniority
Senior, hands-on IC
