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Plant Bioinformatics Jobs (NOW HIRING)

Rutgers University

Post Doctoral Associate

Camden, NJ · On-site

$63K/yr

Experience in plant biology, molecular biology, and/or biochemistry is highly desired, as well as knowledge of basic cell biology and bioinformatics. If you have any questions about this position or ...

The Pennsylvania State University

... biology, bioinformatics, and ecological approaches to address emerging challenges in plant and fungal health. Additional responsibilities include mentoring undergraduate and graduate students ...

The Pennsylvania State University

... bioinformatics, and fundamental research relevant to pressing societal challenges, is a key ... D. in biology, plant biology, or a related field before beginning employment at Penn State; will ...

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What are some typical challenges faced by professionals in plant bioinformatics, and how do they contribute to the team's goals?

Professionals in plant bioinformatics often navigate challenges such as managing large-scale genomic data, keeping up with rapid advancements in sequencing technologies, and ensuring data accuracy for meaningful biological interpretation. They work closely with laboratory scientists, computational biologists, and agronomists to translate raw data into actionable insights for crop improvement or fundamental research. Overcoming these challenges requires both technical expertise and collaboration, making plant bioinformatics a dynamic and rewarding field where your contributions can directly impact agricultural innovation and scientific understanding.

What are the key skills and qualifications needed to thrive in the Plant Bioinformatics position, and why are they important?

To thrive in Plant Bioinformatics, you need expertise in biology, genetics, statistics, and computer science, often backed by an advanced degree in bioinformatics, plant science, or a related field. Familiarity with bioinformatics software (e.g., BLAST, Galaxy), programming languages (Python, R), and data analysis tools is highly valued. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills in this field. These qualifications are crucial because the work involves interpreting complex biological data and collaborating across scientific disciplines to drive research and innovation.

What is a Plant Bioinformatics job?

A Plant Bioinformatics job involves using computational tools and biological data to study plant genetics, genomics, and molecular biology. Professionals in this field analyze large datasets to improve crop breeding, understand plant traits, and enhance agricultural sustainability. They work with sequencing data, develop algorithms, and use machine learning to solve biological problems. Plant bioinformaticians collaborate with geneticists, biologists, and agronomists to advance plant science and improve food production.

More about Plant Bioinformatics jobs
What are the most commonly searched types of Plant Bioinformatics jobs? The most popular types of Plant Bioinformatics jobs are:
What states have the most Plant Bioinformatics jobs? States with the most job openings for Plant Bioinformatics jobs include:
What job categories do people searching Plant Bioinformatics jobs look for? The top searched job categories for Plant Bioinformatics jobs are:
Plant Bioinformatics jobs near you
Infographic showing various Plant Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 7% As Needed, 33% Full Time, 4% Part Time, and 56% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Research Scientist, Bioinformatics & Computational Genomics

UPL Limited

College Station, TX • On-site

Full-time

Posted 29 days ago

Job description

Advanta is a global seed business adapting to rapidly increasing food insecurity and climate change by providing farmers with innovation and new technologies. As part of UPL Group, Advanta aims to deliver high quality seeds with excellent agronomic practices and crop protection solutions. Advanta operates in over 80 countries under global brands of Advanta, Alta and Pacific Seeds. Advanta holds a leadership position in tropical and sub-tropical geographies in corn, grain and forage sorghum, sunflower, canola, rice, and a variety of vegetables. With over 60 years' experience in plant genetics, Advanta provides seeds technology that ensures crop performance and farmers prosperity.
We are seeking a motivated and detail-oriented individual to join our dynamic, fast-growing, and diverse team in a high-throughput genotyping and molecular laboratory. This role supports the crop breeding program at Advanta Seeds and is ideal for recent PhD graduates who enjoy working at the lab bench, including designing, troubleshooting, and improving assays using KASP and TaqMan technologies, while also applying bioinformatics to support marker design and validation at scale. The successful candidate will begin with a strong wet-lab focus and will gradually expand their responsibilities into bioinformatics and computational analysis.
Key Responsibilities
  • Develop and support computational pipelines for genomic data processing and analysis.
  • Perform sequence analysis, read processing, and variant discovery from next-generation sequencing datasets.
  • Generate high-quality variant datasets, including VCF files, for downstream research and breeding applications.
  • Perform genome assembly analyses (including scaffold-level assembly where applicable) and compare assemblies and genomic regions across multiple reference genomes.
  • Identify SNPs and other sequence variants relevant to research and breeding objectives.
  • Ability to design primers informed by comparative genomic analysis across multiple reference genomes.
  • Support difficult marker-related problems by providing sequence-based analysis and computational interpretation.
  • Retrieve, organize, and analyze genomic and associated metadata from relational databases, including SQL-based systems.
  • Write scripts and automated workflows in Python, R, bash, or similar languages to streamline analysis and reporting.
  • Document methods, results, and workflows clearly and reproducibly, and present findings to internal teams.
  • Work independently on assigned analyses while coordinating with the manager and relevant collaborators as needed.
  • Support projects across multiple crops, with the ability to perform analysis across species.

Required Qualifications
  • PhD in Bioinformatics, Computational Biology, Genomics, Genetics, Plant Biology, or a closely related field.
  • Strong computational genomics background with hands-on experience in several of the following areas:
    • variant calling
    • genome assembly
    • pipeline development
    • primer design
  • Strong programming skills, with the ability to independently develop and troubleshoot scripts and workflows in a Linux environment.
  • Proficiency in Python and at least one additional analysis language or environment such as R or bash.
  • Experience working in Linux-based computational environments.
  • Experience handling large-scale genomics datasets.
  • Experience generating, processing, and interpreting sequence-based outputs such as assemblies, alignments, and VCF files.
  • Experience comparing genomic data across multiple references, assemblies, or sequence datasets.
  • Working knowledge of molecular biology sufficient to support marker and primer design decisions, even if the role is not bench-based.
  • Familiarity with relational databases and the ability to retrieve and manipulate data using SQL.
  • Strong organizational skills, scientific judgment, and the ability to manage multiple tasks with limited supervision.
  • Strong written and verbal communication skills and the ability to document analyses clearly.
  • Cultural sensitivity and ability to work effectively in a diverse team environment.
  • Must be legally authorized to work in the United States. Advanta does not offer employment sponsorship for this position.

Preferred Qualifications
  • Experience in plant genomics, crop genetics, or computational support of breeding programs.
  • Experience analyzing data from multiple crop species or transferring analysis strategies across species.
  • Experience with comparative genomics across diverse germplasm or multiple reference genomes.
  • Experience building reproducible workflows for routine genomic analysis.
  • Experience supporting molecular marker development through computational sequence analysis.
  • Ability to grow into an increasingly independent role and take ownership of technically demanding analyses.

We work as one team to create meaningful impact. We share common goals, support each other, and collaborate across functions to achieve the best outcomes. Our focus is on understanding our customers' needs, anticipating future challenges, and developing innovative solutions that add real value.
We are one team, for maximum impact. One team with shared goals. We all play for the team and no one plays against the team. We have a laser-like focus on what our customers need and want, on anticipating their future needs and on how we can create innovative solutions and experiences for them.
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