Postdoctoral Research Associate

University of Virginia; Charlottesville (VA); On-site; USD 55,000 - 65,000; Full time

Job summary

The Platig Lab at the University of Virginia seeks a Postdoctoral Research Associate to investigate the role of alternative splicing in Type 1 Diabetes using long-read RNA-seq data from CD4+ T cells. This 12-month appointment, renewable based on performance and funding, offers training at the intersection of machine learning, RNA biology, and immunology.

The role involves integrating multi-omics datasets, developing machine learning methods to understand RNA binding protein regulation,

Qualifications

• PhD in bioinformatics, computational biology, or closely related field.
• Experience with long- or short-read RNA-seq for alternative splicing analysis.
• Experience applying machine learning techniques in genomics.
• Strong publication record and ability to communicate computational concepts clearly.

Responsibilities

• Investigate the role of alternative splicing in Type 1 Diabetes using long-read RNA-seq in CD4+ T cells.
• Integrate multi-omics datasets and develop machine learning methods.
• Collaborate with wet-lab partners for experimental validation and contribute to publications and grant writing.

Skills

RNA-seq analysis

Alternative splicing

Machine learning in genomics

Scientific communication

Education

PhD in bioinformatics or computational biology

Job description

The Platig Lab at the University of Virginia seeks a Postdoctoral Research Associate to investigate the role of alternative splicing in Type 1 Diabetes using long-read RNA-seq data from CD4+ T cells. The role involves integrating multi-omics datasets, developing machine learning methods to understand RNA binding protein regulation, collaborating with wet-lab partners on experimental validation, and contributing to publications and grant writing. This 12-month appointment, renewable based on performance and funding availability, offers training in the intersection of machine learning, RNA biology, and immunology.

Key qualifications:

• PhD in bioinformatics, computational biology, or closely related field
• Demonstrated experience with long- or short-read RNA-seq for alternative splicing analysis
• Experience using machine learning techniques in genomics
• Strong publication record
• Ability to communicate computational techniques to a broad audience