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, large-scale model training
Technologies
PyTorch, TensorFlow, scVI, variational autoencoders
Responsibilities
Develop and apply machine learning methods for prediction and representation learning; Contribute to design and implementation of workflows for integrative analysis of multiomic datasets; Investigate and apply approaches for multimodal data fusion and cross-dataset integration; Train, adapt, and evaluate self-supervised and foundation models; Process and analyze large-scale sequencing and omics datasets; Publish results in peer-reviewed journals
Seniority
Postdoctoral Researcher (2-year term, max 3 years)
