Postdoc: Computational Biology & ML for Spatial & Single-Cell Genomics

The Rector & Visitors of the University of Virginia; Charlottesville (VA); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Access to high-performance computing resources

Support for presenting at conferences

Individualized mentorship

Job summary

The Rector & Visitors of the University of Virginia seeks Postdoctoral Researchers in computational biology and machine learning. Candidates will work on developing cutting-edge models for single-cell and spatial transcriptomics.

Ideal applicants will have a Ph.D. in a relevant field, strong analytical skills, and proficiency in deep-learning frameworks such as PyTorch. Mentorship and career development are strongly emphasized, with a collaborative lab environment.

Qualifications

• Ph.D. in Computer Science, Computational Biology, or a related quantitative discipline is required.
• Knowledge of machine learning and statistical methods is essential.
• Experience in computational biology or related areas is preferred.

Responsibilities

• Develop neural models for single-cell transcriptomics.
• Conduct independent research and aim for publication.
• Participate in grant writing and career transition training.

Skills

Mathematics and statistics

Proficiency in PyTorch

Peer-reviewed publication

Intellectual curiosity for solving biological problems

Education

Ph.D. in relevant discipline

Tools

Deep-learning frameworks

Job description

The Rector & Visitors of the University of Virginia seeks Postdoctoral Researchers in computational biology and machine learning. Candidates will work on developing cutting-edge models for single-cell and spatial transcriptomics.

Ideal applicants will have a Ph.D. in a relevant field, strong analytical skills, and proficiency in deep-learning frameworks such as PyTorch. Mentorship and career development are strongly emphasized, with a collaborative lab environment.