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Postdoctoral In Plant Genomics Jobs in Silver Spring, MD

Genotyping/Sequencing Outputs - Raw and processed data files * QC Reports - Standardized quality ... Provides technical experience needed to assist in studying the basic principles of plant and animal ...

The postdoc will help plan, conduct, and publish research, contribute to the professional ... Preferences: Candidates should have a strong background in bioinformatics, genomics and ...

... the connection between genomic and phenomic variation, and discover new bioinspired design ... The postdoc will be based at the University of Maryland, but work closely with members in the ...

... the postdoctoral level. IRP research is conducted in several campuses across the U.S. More ... Epidemiology/Population Sciences * Genetics/Genomics * Health Disparities * Immunology

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Postdoctoral In Plant Genomics information

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$25.8K

$61K

$86.3K

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 Fellowship Position: Data Science and AI in Health and Medicine

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 11 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
We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI.
The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI).
We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include-but are not limited to-computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies.
Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. In describing potential projects, the candidates should not be afraid to propose directions that build on, but are distinct from, their work during PhD-we are interested as much in what your vision for future is as in your past accomplishments. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative.
Qualifications
  • PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field
  • Strong methodological and computational skills
  • Demonstrated interest or experience in health-related applications of statistical or data science methods
  • Strong written and oral communication skills
  • Ability to work collaboratively with interdisciplinary teams

Application Instructions
Interested applicants should submit the following materials to Interfolio:
  • Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate's work could help advance data science and AI in the Department and University, and the candidate's larger career goals)
  • Curriculum vitae
  • Contact information for three references

Applications will be reviewed beginning on October 1 and will be reviewed on a rolling basis until the positions are filled.
For more information about the Department of Biostatistics and its faculty, please visit https://publichealth.jhu.edu/departments/biostatistics . If you have any question about the position, please contact Mary Joy Argo (margo@jhu.edu).

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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