Computational Postdoctoral Fellow: Berkeley Lab’s Joint Genome Institute (JGI) is seeking a Computational Postdoctoral Fellow to contribute to the development, benchmarking, and application of plant genomic language models (gLMs). This role is critical for advancing biological discovery through innovative computational approaches.
Computational Postdoctoral Fellow (Plant Genomic Language Models – gLMs)
Designation
Postdoctoral Fellow
Research Area
Computational Biology, Bioinformatics, Genomics, Machine Learning
Location
Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA 94720
Eligibility/Qualification
- Recent Ph.D. (within the last 1-3 years) in Computational Biology, Bioinformatics, Computer Science, Genomics, or a related field.
- Experience with genomic language models, including model training, fine-tuning, and application to biological datasets.
- Proficiency in Python and experience with biological sequence analysis tools and workflows.
- Familiarity with high-performance computing (HPC) and managing large-scale genomic datasets.
- Strong foundation in genomics, including genome structure and gene regulation.
- Excellent communication skills, with a strong publication record in relevant fields.
- Experience in interdisciplinary collaboration.
Job Description
- Develop a benchmark suite for evaluating plant genomic language models (gLMs) across diverse taxa.
- Systematically compare gLM approaches with traditional deep learning methods.
- Train and evaluate various model architectures tailored to the complexities of plant genomes.
- Identify biological applications where gLMs can uncover novel insights, particularly in data-limited tasks.
- Contribute to manuscript preparation and present findings at scientific conferences.
- Maintain meticulous documentation of code, analyses, and results.
How to Apply
Interested candidates should submit a curriculum vitae (CV) or resume along with a cover letter detailing their interest in the position.
Last Date to Apply
September 2, 2025
For further inquiries or to learn more about applying, please visit Berkeley Lab Careers.
