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Postdoctoral In Plant Genomics Jobs in California

A. Duda & Sons Inc

Assistant Plant Breeder

Salinas, CA · On-site

... genomic selection, and other emerging methodologies. * Travel to trial locations and research sites as needed. What We're Looking For Education * Master's degree required in Plant Breeding, Agronomy ...

Tempus

Postdoctoral Fellow

Redwood City, CA · On-site +1

$75K - $100K/yr

Postdoctoral Fellow This Postdoctoral Fellowship is designed to encourage and further the careers ... in genomic-guided medicine. Qualifications: * PhD in Computational Biology, Bioinformatics or ...

New

A. Duda & Sons Inc.

Assistant Plant Breeder

Salinas, CA · On-site

... genomic selection, and other emerging methodologies. * Travel to trial locations and research sites as needed. What We're Looking For Education * Master's degree required in Plant Breeding, Agronomy ...

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Postdoctoral In Plant Genomics information

What is a postdoctoral researcher in plant genomics?

A postdoctoral researcher in plant genomics is a scientist who has completed their Ph.D. and is engaged in advanced research focused on the genetic makeup of plants. Their work typically involves designing and conducting experiments, analyzing genomic data, and publishing findings related to plant genetics, evolution, or biotechnology. Postdocs in this field often work in academic, government, or industry labs, contributing to our understanding of plant biology and helping to develop improved crop varieties. They may also mentor students and collaborate with other researchers.

What are the typical collaborative opportunities for a postdoctoral in plant genomics within academic or research institutions?

Postdoctoral researchers in Plant Genomics often work in interdisciplinary teams, collaborating closely with molecular biologists, bioinformaticians, and agronomists. These collaborations can involve joint research projects, co-authoring publications, and participating in grant applications. Engaging with diverse experts not only enhances research outcomes but also provides valuable networking and learning opportunities, which can be crucial for career advancement. Many institutions also encourage postdocs to mentor graduate or undergraduate students, further developing leadership and communication skills.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in plant genomics, and why are they important?

To thrive as a Postdoctoral Researcher in Plant Genomics, you need a PhD in plant biology, genetics, or a related field, with expertise in genomics and molecular biology techniques. Proficiency with bioinformatics tools, next-generation sequencing platforms, and data analysis software like R or Python is typically required. Strong problem-solving abilities, critical thinking, and effective scientific communication skills help you collaborate and share findings. These skills ensure rigorous research, accurate data interpretation, and impactful contributions to advancing plant genomics knowledge.

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Infographic showing various Postdoctoral In Plant Genomics job openings in California as of September 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 100% In-person job distribution.

Post Doctoral Scholar - Michelmore Lab

Davis, CA • On-site

University of California
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Posted 12 days ago

University Of California rating

8.7

Company rating: 8.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

Job description

Postdoctoral Scholar in AI and Foundation Models for Plant Genomics


The UC Davis Genome Center is recruiting a Postdoctoral Scholar to work on a collaboration between the laboratories of Richard Michelmore (Genome Center), Xin Liu (Computer Science), and Christine Diepenbrock (Plant Sciences). This project will develop one of the first crop-specific multimodal foundation models integrating more than 100 telomere-to-telomere lettuce genomes, population-scale genomic variation, transcriptomics, and extensive phenotypic datasets to predict the consequences of allelic variation, genome editing, and genotype-by-environment interactions.


The focus of this work will be on the fine-tuning, evaluation, and multi-faceted deployment of a foundation model for lettuce. An existing DNA foundation model architecture will be leveraged while also incorporating advances due to the rapid evolution of the DNA and other -omic foundation model space. The extensive existing data sets will be leveraged for training, evaluation, validation, and use cases. The project emphasizes reproducible research and open-source software development. The successful candidate will have opportunities to publish both methodological advances in AI and biological discoveries enabled by the models.


Responsibilities

  • Fine-tune a pretrained foundation model using lettuce genome data with applications in crop improvement.

  • Implement appropriate strategies to optimize model performance and benchmark and compare models.

  • Collaborate closely with other project team members who have expertise in lettuce genomic resources, remote sensing, plant physiology, and development to 1) curate training data, including multi-omic and phenotypic data; and 2) generate hypotheses for model training.

  • Supervise undergraduate researchers with training in machine learning.

  • Publish findings in machine learning and computational biology journals.


Requirements

  • Ph.D. in Computer Science, Computational Biology, or a related field

  • Experience programming in Python

  • Demonstrated experience developing, training, or adapting deep learning models

  • An interest and willingness to learn about genome biology, gene function, and regulatory circuits

  • Willingness to collaborate in multi-disciplinary teams

  • Evidence of research productivity through publications in machine learning, computational biology, genomics, or related areas

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