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Genetics Plant Breeding Data Science Jobs (NOW HIRING)

... data analysis and analytical tasks to support scientific and operational excellence with ... D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a ...

... data analysis and analytical tasks to support scientific and operational excellence with ... D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a ...

... data analysis and analytical tasks to support scientific and operational excellence with ... D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a ...

... data analysis and analytical tasks to support scientific and operational excellence with ... D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a ...

... data analysis and analytical tasks to support scientific and operational excellence with ... D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a ...

... data scientists, to develop and implement data insights and solutions that support data-driven ... Supervising the growing of plant breeding nurseries and related research trials, both in ...

... scientists, and field operations to design, execute, and oversee the North America Plant Breeding ... Delivering the highest quality field data as part of North America's plant breeding R&D pipeline by ...

... data scientists, to develop and implement data insights and solutions that support data-driven ... Supervising the growing of plant breeding nurseries and related research trials, both in ...

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Genetics Plant Breeding Data Science information

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$57K

$81.3K

$106.5K

How much do genetics plant breeding data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for genetics plant breeding data science in the United States is $81,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $92,500.00 per year, depending on experience, location, and employer.

How does a Genetics Plant Breeding Data Scientist typically collaborate with plant breeders and field researchers?

Genetics Plant Breeding Data Scientists work closely with plant breeders and field researchers to analyze genetic and phenotypic data, design experiments, and interpret results that inform breeding decisions. They often translate complex data insights into actionable recommendations that can be applied in breeding programs. Regular communication and teamwork are essential, as data scientists rely on field researchers for high-quality data and breeders for domain expertise, ensuring that their analyses align with practical objectives and constraints in the field.

What are the key skills and qualifications needed to thrive as a Genetics Plant Breeding Data Scientist, and why are they important?

To thrive as a Genetics Plant Breeding Data Scientist, you need expertise in plant genetics, quantitative genetics, and statistical analysis, usually backed by an advanced degree in plant breeding, genetics, or data science. Familiarity with programming languages like R or Python, experience with bioinformatics tools, and proficiency in statistical software such as SAS or GenStat are typically required. Strong analytical thinking, problem-solving, and collaboration skills help bridge the gap between biological research and actionable breeding decisions. These skills are essential for advancing breeding programs, interpreting complex genetic data, and driving innovation in crop improvement.

What is the difference between Genetics Plant Breeding Data Science vs Genetics Plant Breeding?

AspectGenetics Plant Breeding Data ScienceGenetics Plant Breeding
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; knowledge of genetics and plant biologyDegree in Genetics, Plant Science, or Agronomy; strong background in biology and plant breeding techniques
Work EnvironmentData analysis labs, research institutions, biotech companiesFieldwork, research stations, agricultural companies
Industry UsageFocuses on data analysis, modeling, and bioinformatics applications in plant breedingDesigns and implements breeding programs, field trials, and genetic selection

While Genetics Plant Breeding Data Science emphasizes data analysis and bioinformatics skills to support plant breeding, Genetics Plant Breeding involves practical application of breeding techniques and fieldwork. Both roles are essential in advancing crop development but differ mainly in their focus and daily tasks.

What is genetics plant breeding data science?

Genetics plant breeding data science is an interdisciplinary field that combines genetics, plant breeding, and data science techniques to improve crop varieties. Professionals in this area use large datasets, statistical models, and computational tools to analyze genetic information and breeding outcomes. Their work helps identify desirable traits in plants, predict breeding success, and accelerate the development of improved crops. This field is crucial for increasing crop yield, disease resistance, and sustainability in agriculture.
Infographic showing various Genetics Plant Breeding Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,295 per year, or $39.1 per hour.
Research Assistant/Associate Professor (Breeding & Genetics)

Research Assistant/Associate Professor (Breeding & Genetics)

Prairie View A&M University

Prairie View, TX

Full-time

Posted 16 days ago


Job description

Job Title

Research Assistant/Associate Professor (Breeding & Genetics)

Agency

Prairie View A&M University

Department

Adloc Cooperative Agriculture And Research Center

Proposed Minimum Salary

Commensurate

Job Location

Prairie View, Texas

Job Type

Faculty

Job Description

Important Immigration information:

A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025.Please be advised that TexasA&M University will NOT pay this fee. Therefore, if you need immigration sponsorship for your employment, we recommend that you consult with your private immigration counsel at your own expense to ascertain whether your current immigration status would make a potential offer of employment from Texas A&M University subject to this fee.

In addition, on January 27, 2026, Texas Governor Abbot issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission.Accordingly, if you will now or in the future require sponsorship for employment visastatusthis moratorium may affect our ability to employ you should you be selected as the final candidate.

______________________________________________________________________________

The College of Agriculture, Food and Natural Resources (CAFNR) at Prairie View A&M University (PVAMU) is inviting applications for a 9-month, non-tenure track Research Assistant/Associate Professor position in Quantitative Genetics, with a focus on small ruminant genetics or data science. This position is 100% research-oriented and offers a competitive salary commensurate with experience. Continued employment will be contingent upon meeting research performance metrics, including securing external funding and demonstrating successful research outcomes.

The successful candidate will lead a robust research program in quantitative genetics and data science, specifically focusing on milk and meat goat research. This role will contribute to the International Goat Research Center at PVAMU and foster interdisciplinary collaborations within CAFNR, including research in ruminant nutrition, reproduction, parasitology, and food science.

This position is funded by a grant or restricted funds. Continued employment is contingent on the renewal of grant or restricted funding.

The salary isdeterminedin accordance withthe University's compensation structure and will becommensuratewith the candidates' education and experience, within the assigned salary range for this position.

Responsibilities:

  • Develops and implements an independent research program focused on quantitative genetics, genomic analysis, breeding systems, and data science applications in small ruminants, particularly goats.
  • Contributes to strategic growth, research initiatives, herd improvement objectives, and overall advancement of the International Goat Research Center mission and infrastructure.
  • Collaborates with CAFNR research and extension faculty across disciplines including ruminant nutrition, reproduction, parasitology, food science, and related agricultural sciences.
  • Analyzes genetic and production data, prepares reports, publishes findings, and contributes to scientific presentations and dissemination activities.
  • Participates in university compliance activities, committee service, training requirements, and other assigned duties supporting departmental and institutional operations.

Required Education and Experience:

  • Ph.D. in Animal Breeding, Statistical Genetics, Computational Biology, Genomics, or Data Science.
  • No prior experience required.
  • Experience in mentoring and advising students.

Required Knowledge, Skills and Abilities:

  • Proven potential for securing extramural funding.
  • Demonstrated ability to publish research in peer-reviewed journals.
  • Excellent written and oral communication skills, along with strong organizational and interpersonal abilities.
  • Postdoctoral experience in animal breeding or related fields.

Preferred Qualifications:

  • At least five years of research experience in breeding, genetics, or data science.
  • Demonstrated ability to collaborate effectively and participate in interdisciplinary research.
  • Proven experience in grant writing and leading research projects.
  • Record of peer-reviewed publications in breeding, genetics, or data science.
  • Experience in teaching undergraduate and graduate courses.
  • Background in livestock and small ruminant research.

Job Posting Close Date:

  • Until Filled

Required Attachments:

Please attach all required documents listed belowin the attachment box labeled as either "Resume/CV or Resume/Cover Letter" on the application. Multiple attachments may be included in the "Resume/CV" or Resume/Cover Letter" attachment box. Anyadditionalattachments provided outside of the required documents listed below are considered optional.

  • Resume or Curriculum Vitae

  • Cover Letter

Application Submission Guidelines:

All applicantsare required toapply via our Career Site on or before the closing dateindicatedon the job posting. Applicant inquiries received via email and websites such as Indeed,HigherEdJobs, etc. will not be considered unless the individual has applied to the available position viathePVAMUCareersite.

The required documents listed in the above "Required Attachments" section must be attached to the application prior to the job closing dateindicatedto ensure full consideration for the applicationsubmitted. Please contact the Office of Human Resource on or before the closing dateindicatedabove at 936-261-1730 or jobs@pvamu.edu should you needassistancewith the online application process.

Background Check Requirements:

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.