Computational Postdoctoral Fellow: Berkeley Lab’s Joint Genome Institute (JGI) is seeking a Computational Postdoctoral Fellow to contribute to cutting-edge research in the development, benchmarking, and application of plant genomic language models (gLMs) aimed at advancing biological discovery.
Computational Postdoctoral Fellow (Plant Genomic Language Models-GLMs)
Designation
Postdoctoral Fellow
Table
| Category | Details |
|---|---|
| Research Area | Computational Biology, Bioinformatics, Genomics |
| Location | Bay Area, California, United States |
| Eligibility/Qualification | Recent Ph.D. in Computational Biology, Bioinformatics, Computer Science, Genomics, or a related field |
| Job Type | Full-time, Exempt from overtime pay, 2-year appointment |
| Salary | Monthly salary range: $7,987 – $8,921 (starting at $7,987 or above) |
| Application Deadline | September 2, 2025 |
Job Description
In this role, the Computational Postdoctoral Fellow will:
- Develop a comprehensive benchmark suite for evaluating plant genomic language models (gLMs).
- Systematically compare gLM-based methods to traditional deep learning approaches.
- Train and evaluate various model architectures tailored to plant genomic complexities.
- Identify biological applications where gLMs excel, especially in data-limited tasks.
- Uncover novel biological insights through gLM predictions.
- Prepare manuscripts and present research findings at scientific conferences.
- Maintain detailed documentation of all analyses and results to ensure reproducibility.
Eligibility/Qualification
Required:
- 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, model training, fine-tuning, and application.
- Proficiency in Python for developing and documenting scientific software.
- Experience with biological sequence analysis and bioinformatics workflows.
- Familiarity with high-performance computing (HPC) and large-scale genomic datasets.
- Strong foundation in genomics, including genome structure and gene regulation.
- Excellent oral and written communication skills and a solid publication record.
Desired:
- Expertise in genome annotation and standard annotation pipelines.
- Experience with plant genomics data and deep learning frameworks (e.g., PyTorch or TensorFlow).
- Proficiency in handling genomic data formats (e.g., FASTA, FASTQ, VCF).
How to Apply
Interested candidates should submit a curriculum vitae (CV) or resume along with a cover letter explaining their interest in the position through the Berkeley Lab careers portal.
Last Date to Apply
September 2, 2025
Join Berkeley Lab to contribute to groundbreaking research in plant genomics and become part of a collaborative scientific community committed to excellence and discovery.
