ASSOCIATE IN RESEARCH

Duke Careers • Durham, NC

40d • Hybrid

About The Position

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.
In this role, you will work closely with the Principal Investigator Dr. Wenpin Hou and her research team to develop computational models that analyze single-cell multi-omics and perturbation datasets. Your work will contribute to cutting-edge projects at the intersection of artificial intelligence, genomics, and biomedical discovery.
You will help design and implement machine learning models, maintain computational pipelines, and analyze complex biological datasets using high-performance computing environments. This position offers the opportunity to contribute directly to grant-funded research projects, scientific publications, and new computational tools for the biomedical research community.

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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees