AI Research Scientist: Biomedical ML & Large-Scale AI

• Develop, train, and evaluate large-scale AI/ML models across diverse biological data types.
• Investigate new modeling paradigms to address open biological research questions.
• Translate complex scientific questions into computational frameworks, experiments, and benchmarks.
• Assess model behavior and interpretability in scientific contexts.
• Design and run experiments at scale with benchmarking and model analysis.
• Build reusable modeling frameworks and document methods for reproducibility.

Requirements PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field; or equivalent combination of degree and experience. Demonstrated experience developing and evaluating novel AI/ML approaches for complex, large-scale datasets. Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX). Strong foundation in machine learning, deep learning, and scientific computing, including experimentation, benchmarking, and model analysis. Research experience applying machine learning to biological, genomic, or other life-science data is preferred. Familiarity with large-scale training and evaluation environments and scientific computing libraries. ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings. Hard Skills AI/ML Approaches Model Evaluation Experimentation Benchmarking Model Analysis #J-18808-Ljbffr Jobtailor