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Postdoctoral In Plant Genomics Jobs (NOW HIRING)

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

$20K/wk

... functional genomics data. The Postdoctoral Associate will be expected to participate in the ... configuration and maintenance of data bases necessary for conduct of the project. It is expected ...

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

As of Jun 30, 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 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.
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Postdoctoral In Plant Genomics jobs near you
Infographic showing various Postdoctoral In Plant Genomics job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 8% Full Time, 90% Part Time, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Associate

Postdoctoral Associate

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Posted 2 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

54th of 544 rated colleges and universities

Job description

Job Title: Postdoctoral Associate
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented Postdoctoral Associate to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis. The Postdoc should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoc is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development. The role includes designing analyses, interpreting complex datasets, and translating findings into biologically meaningful insights within a multidisciplinary research environment. This position offers a highly collaborative, team-based setting with opportunities for advanced training, mentorship, and career development.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
  • Collaborates closely with experimental biologists and clinicians to design studies, validates computational findings, and supports translational applications of research discoveries.
  • Participates in regular joint meetings to present findings, discuss ongoing projects, and align research strategies with lab and departmental priorities.
  • Assists in mentoring and training of junior researchers in computational techniques and bioinformatics best practices.
  • Translates complex computational results into biologically meaningful insights in collaboration with wet-lab teams.
  • Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments.
  • Collaborates with experimental biologists and clinicians to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).
  • Knowledge of basic molecular biology, genomics, and epigenetics.
  • Experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics).
  • Experience in both Bioinformatics/Genomics and Cancer Biology is desirable.
  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in R/Matlab/PerlPython.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
PD; SN
Requisition ID: 25323

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