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Postdoctoral In Plant Genomics Jobs in Silver Spring, MD

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Postdoctoral In Plant Genomics information

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$25.8K

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

As of Sep 2, 2026, the average yearly pay for postdoctoral in plant genomics in Silver Spring, MD is $61,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $68,700.00 per year, depending on experience, location, and employer.

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.

What job categories do people searching Postdoctoral In Plant Genomics jobs in Silver Spring, MD look for?

The top searched job categories for Postdoctoral In Plant Genomics jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Postdoctoral In Plant Genomics jobs?

Cities near Silver Spring, MD with the most Postdoctoral In Plant Genomics job openings:

Infographic showing various Postdoctoral In Plant Genomics job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $61,015 per year, or $29.3 per hour.

Postdoctoral Fellow or Staff Scientist

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities


Job description

Description
The Karchin Lab leads computational antigen discovery for a privately funded program developing the next generation of vaccines for the treatment and prevention of pancreatic cancer. The incumbent will develop new computational models and algorithms for predicting which tumor antigens the immune system recognizes, and will use them to discover and prioritize vaccine targets. The available data include tumor sequencing, single-cell T cell receptor data from vaccinated patients, immune assay readouts, and HLA genotypes. Candidate antigens generated computationally are tested experimentally by the program's immunology and clinical collaborators, and the two efforts run as a loop rather than a one-directional handoff.
The position calls for an established computational scientist who already has expertise in neoantigen prioritization, T cell repertoire and specificity analysis, and machine learning on biological sequence data, and who can be productive within the first month. It is not structured as a training position in which those skills would be acquired on the job or carried over from an adjacent field.
Job Responsibilities
  • Antigen discovery, 65 percent. Design new computational methods for antigen discovery. Apply these methods to identify and prioritize candidate antigens for vaccine development.
  • Scientific collaboration, 15 percent. Work directly with immunology and clinical collaborators to design analyses, interpret assay results, and prioritize candidates for experimental testing.
  • Scientific communication, 15 percent. Lead or co-lead manuscripts arising from the work.
  • Data governance and compliance, 5 percent. Handle controlled-access human genomic data in accordance with institutional and sponsor requirements.

Qualifications
Minimum qualifications
  • PhD or MD/PhD in computational biology, bioinformatics, computer science, statistics, genomics, immunology, or a closely related field, in hand by the start date.
  • A record of first-author peer-reviewed publications or preprints demonstrating independent completion of a computational research project.
  • Demonstrated ability to communicate scientific results clearly in writing and to non-computational collaborators.
Required technical expertise
  • Neoantigen prioritization
  • T cell repertoire analysis
  • T cell specificity prediction
  • Machine learning
  • Programming and computing: strong Python, fluency at the Unix command line, version control, and production use of a workflow manager such as Nextflow, Snakemake, or WDL, with experience running analyses at scale on high performance computing clusters or cloud platforms.
Conditions of employment
  • The position is on-site in Baltimore and is not eligible for remote work.
  • The incumbent must be able to obtain and maintain approval to work with controlled-access human genomic data and protected patient data.
  • Recruitment is limited to candidates currently residing in the United States. Johns Hopkins support for a visa transfer or extension may be required for a candidate already in the United States in an appropriate status.
Compensation and appointment terms
  • Salary reflects the minimum for this position; the actual offer depends on experience and on whether the position is filled at the postdoctoral or staff scientist level.
  • Standard Johns Hopkins benefits apply, including health, dental, and vision insurance, retirement contributions, and paid leave.
  • Funding is secured for three years with possible continuation, and appointments are renewed annually.
  • Mentoring toward independence and support for fellowship applications are part of the position.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876