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Postdoctoral In Plant Genomics Jobs (NOW HIRING)

... genomics, tissue culture, integrated pest management, agronomy and breeding of cultivars for ... D. in Plant Breeding, Horticulture, Plant Pathology, Entomology or Agronomy Ability to work ...

Experience in performing independent research in algorithmic genomics, and communicating scientific results via scientific publications and presentations. * Experience with handling and analyzing ...

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Postdoctoral In Plant Genomics information

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How much do postdoctoral in plant genomics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for postdoctoral in plant genomics in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

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.

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 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.
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Postdoctoral Fellow in Bioinformatics a" Chemoproteomics & Cancer Functional Genomics

Postdoctoral Fellow in Bioinformatics a" Chemoproteomics & Cancer Functional Genomics

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

$44K - $60K/yr

Full-time

Posted 27 days ago


Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

72nd of 865 rated healthcare providers


Job description

Postdoctoral Fellow in Bioinformatics – Chemoproteomics & Cancer Functional Genomics

Position Overview

A postdoctoral fellow position is available for a highly motivated scientist with expertise in bioinformatics, chemoproteomics, and functional genomics. The successful candidate will participate in research projects leveraging large-scale chemoproteomics datasets, integrating these with public cancer genomics resources, and mining CRISPR screening data to advance cancer biology and therapeutic discovery.

Key Responsibilities:

  • Analyze and integrate high-dimensional chemoproteomics datasets with multi-omotic data (e.g., genomics, transcriptomics, proteomics) from public repositories such as DepMap and TCGA
  • Develop, implement, and maintain robust computational pipelines in R and other programming languages (e.g., Python) for data processing, statistical analysis, and visualization
  • Mine and interpret large-scale CRISPR screening datasets to identify novel cancer dependencies and therapeutic targets, utilizing resources such as DepMap and published CRISPR screens
  • Collaborate with interdisciplinary teams of biologists, chemists, and clinicians to design and execute integrative studies, and contribute to the functional validation of computational predictions
  • Present research findings at internal meetings and national/international conferences; publish results in high-impact journals
  • Mentor junior researchers and contribute to grant writing and manuscript preparation

Required Qualifications:

  • PhD in Bioinformatics, Computational Biology, Cancer Biology, Genomics, or a related field is required
  • Demonstrated expertise in R and proficiency in other programming languages (e.g., Python)
  • Experience working with and mining large public cancer genomics databases, such as DepMap and TCGA
  • Proven track record in analyzing and integrating chemoproteomics and/or functional genomics datasets, especially CRISPR screening data
  • Strong understanding of statistics and machine learning concepts as applied to biological data
  • Excellent written and verbal communication skills, with a history of publishing in peer-reviewed journals
  • Ability to work independently and collaboratively in a multidisciplinary research environment

Preferred Qualifications

• Experience with drug development and/or chemistry

• Familiarity with AI/ML approaches for biological data analysis.

• Prior experience in cancer research or translational bioinformatics

Application Instructions:

Interested applicants should submit a CV, a cover letter outlining research experience and interests, and contact information for three references. Applications will be reviewed on a rolling basis.


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