Associate in Research

About the role

The Department of Biostatistics and Bioinformatics at Duke University School of Medicine is seeking an Associate in Research to join an interdisciplinary research group developing advanced machine learning and transformer-based models for large-scale biological data.

Responsibilities

• Develop and implement transformer-based and deep learning models for large-scale biological datasets.
• Process, curate, and analyze single-cell and multi-omics datasets, including perturbation data.
• Maintain and optimize computational pipelines and model training workflows in HPC environments.
• Collaborate with the PI, postdoctoral fellows, and students to advance research objectives and project milestones.
• Support reproducible research, including workflow documentation, manuscript preparation, and grant-related deliverables.

Requirements

• Master’s degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field.
• Strong programming skills.
• Experience with machine learning frameworks such as PyTorch or TensorFlow.
• Experience working with large-scale datasets and computational workflows.

Preferred Qualifications

• Experience with transformer models or foundation models.
• Experience analyzing single-cell or other high-dimensional biological datasets.
• Familiarity with GPU computing and high-performance computing (HPC) environments.

Other Requirements

• Ability to work collaboratively with researchers across computational and biomedical disciplines.
• Strong organizational and documentation skills to support reproducible research workflows.