AI/ML Computational Biologist - Postdoctoral Researcher
Core
Apply and adapt state-of-the-art AI/ML approaches to understand host-response dynamics in complex biological systems by integrating large-scale multiomic datasets.
Role type
Postdoctoral Research Staff Member (AI/ML Computational Biologist)
Builds
Predictive models and biologically meaningful insights from diverse omics datasets.
Domain
Computational Biology / Machine Learning / Multi-omics
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, computational biology, Python, R, PyTorch, TensorFlow, Linux/Unix, high-dimensional biological data analysis
Preferred skills
Deep learning, probabilistic modeling, single-cell/spatial/multimodal omics data, multiomic data integration, transfer learning, transformers, self-supervised learning
Technologies
PyTorch, TensorFlow, scVI
Responsibilities
Develop and apply machine learning methods for prediction and representation learning; Design and implement workflows for integrative analysis of multiomic datasets; Investigate approaches for multimodal data fusion and cross-dataset integration; Train and evaluate self-supervised and foundation models; Process and analyze large-scale sequencing and omics datasets; Present research findings at seminars and conferences; Publish results in peer-reviewed journals
Seniority
Postdoctoral (early career, PhD within 5 years)
