Postdoctoral Fellow - Computational Geneticist BF9491

Qualifications

• Ph.D. in Bioinformatics, Computational Genetics, Computer Sciences, or related field.
• Strong programming skill in Python, R, or programming languages for large-scale data analysis with in-depth knowledge in genomics, transcriptomics, and multi-modal data integration.
• Familiarity with genome assembly, annotation, transcriptomics, and variant identification, as well as computational methodologies such as optimization.
• Experience with Transformer and Representation Learning.
• Excellent communication skill, team collaboration abilities, and a passion for plant associative genomics and adaptation.

Benefits

• Competitive compensation- full time employment with competitive compensation scale at federal agencies such as NSF in the USA and NSERC in Canada.
• Dynamic work environment- be part of a highly dynamic multiple-disciplinary team environment across academia, government, and industry partnerships.