Lead development and evaluation of oncology foundation models using large-scale omics and clinical datasets within Johnson & Johnson Innovative Medicine.
Locations (9)
Beerse, Antwerp, Belgium
Cambridge, Massachusetts, United States
Neuss, North Rhine-Westphalia, Germany
San Diego, California, United States
Spring House, Pennsylvania, United States
Titusville, New Jersey, United States
Show all 9 locations
Berlin, Germany
La Jolla, California, United States
United States
Compensation
The anticipated base pay range for this position is: €63,800.00 - €99,820.00
Responsibilities
Collaborate with Oncology Translational Research to develop computational models for precision medicine and drug development
Analyze and integrate high-dimensional biological data, including single-cell and spatial transcriptomics, for model development, training, and validation
Develop and implement scalable statistical, machine learning, and deep learning approaches using large-scale transcriptomic and multimodal datasets
Design rigorous model evaluation strategies, including appropriate benchmarks, validation datasets, and biologically relevant performance metrics
Partner with experimental and translational scientists to design studies that enable robust evaluation and interpretation of computational predictions
Requirements
Ph.D. in computer science, artificial intelligence, bioinformatics, computational biology, statistics, or related quantitative field