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Data Science Plant Breeding Jobs (NOW HIRING)

Kellton

Imaging Data Scientist

Johnston, IA

$75/hr

Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ... plant or biological materials. * Track record of measurable model performance reporting and ...

Ohalo

Quantitative Geneticist

South San Francisco, CA · On-site

Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine Learning Engineers (MLEs), and Data Engineers (DEs). Proactively translate breeding objectives into ...

Ohalo

Quantitative Geneticist

San Francisco, CA · On-site +1

Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine Learning Engineers (MLEs), and Data Engineers (DEs). Proactively translate breeding objectives into ...

Ohalo

Quantitative Geneticist

South San Francisco, CA · On-site +1

Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine Learning Engineers (MLEs), and Data Engineers (DEs). Proactively translate breeding objectives into ...

The Pennsylvania State University

... and molecular data, statistical analysis of complex datasets. Excellent oral and written ... D. or equivalent doctorate in an appropriate field (plant sciences, genetics, plant breeding or ...

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Data Science Plant Breeding information

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$37.5K

$122.7K

$196.5K

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

As of Jun 7, 2026, the average yearly pay for data science plant breeding in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How do data scientists in plant breeding typically collaborate with agronomists and geneticists to drive research outcomes?

Data scientists in plant breeding often work closely with agronomists and geneticists to analyze large datasets generated from field trials and genomic studies. This collaboration involves regular meetings to discuss experimental design, data collection protocols, and interpretation of results. Data scientists contribute their expertise in statistical modeling and machine learning, while agronomists and geneticists provide domain-specific insights, ensuring that analyses are both scientifically rigorous and practically applicable. Such teamwork is essential for developing improved crop varieties and optimizing breeding strategies.

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

AspectData Science Plant BreedingAgronomist
Required CredentialsDegree in Data Science, Plant Breeding, or related fields; knowledge of statistics and programmingDegree in Agronomy, Agriculture, or related fields; expertise in crop management and soil science
Work EnvironmentResearch labs, data analysis centers, field trials with data focusFieldwork, research farms, agricultural consulting
Industry UsageUsed in biotech companies, research institutions, seed companiesUsed in farming, crop production, agricultural extension services

Data Science Plant Breeding focuses on applying data analysis and machine learning to improve plant breeding programs, while Agronomists work directly with crop management and soil health in the field. Both roles support agriculture but differ in their core activities and skill sets.

What is data science in plant breeding?

Data science in plant breeding involves using advanced statistical analysis, machine learning, and computational tools to analyze large datasets related to plant traits, genetics, and environmental factors. This approach helps breeders identify patterns and make data-driven decisions to improve crop yield, disease resistance, and other desirable characteristics. By integrating genomics, phenomics, and environmental data, data science accelerates the breeding process and increases the accuracy of selecting superior plant varieties.

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

To thrive as a Data Science Plant Breeding professional, you need expertise in plant genetics, quantitative analysis, statistical modeling, and a strong background in biology or agronomy, often supported by advanced degrees. Proficiency with data analytics tools (such as R, Python, and SAS), bioinformatics platforms, and experience handling large-scale genomic datasets are typically required. Strong problem-solving skills, collaboration, and effective communication are crucial soft skills for translating complex data into actionable breeding strategies. These skills and qualities are essential for driving innovation, improving crop traits, and supporting data-driven decision-making in agricultural research.
Assistant/Associate Professor in Natural Resource Management

Assistant/Associate Professor in Natural Resource Management

South Carolina State University

Orangeburg, SC • On-site

Full-time

Posted 20 days ago

Job description

Assistant/Associate Professor in Natural Resource Management
Job no: 492784
Work type: Temporary Grant-P14, Full-Time
Location: Administration - Orangeburg, SC
Categories: Faculty
The Department of Agriculture in the College of Agriculture, Family and Consumer Sciences at South Carolina State University invites applications for a joint appointment position at the Assistant/Associate Professor level in Natural Resource Management. The position has a 50% teaching appointment within the Department of Agriculture and a 50% extension/research appointment through 1890 Research & Extension.
The successful candidate will play a critical role in advancing the department's mission of providing high-quality education, conducting impactful research, and delivering relevant extension programming to the agricultural community of South Carolina and beyond.
Responsibilities:
Teaching (50%):
  • First year responsibilities will include development of a new degree program in Natural Resource Management and associated courses.
  • Upon final approval of the new degree program, 50% teaching plus 50% research and Extension will be required
  • Teach a variety of undergraduate courses in Natural Resource Management, which may include but are not limited to: soil science, plant science, plant breeding and genetics, horticulture, agronomy, natural resource management and/or environmental resilience to extreme weather events.
  • Develop and update course curricula, syllabi, and teaching materials to reflect current industry practices and scientific advancements.
  • Advise and mentor undergraduate students, including academic advising, career counseling, and fostering student success in agricultural disciplines.
  • Participate in departmental and university committees related to curriculum development, student affairs, and academic policy.
  • Potentially develop and teach graduate-level courses if a graduate program is established.
  • Serve as graduate advisor in graduate program if established.

Extension & Research (50%):
  • Extension: Develop, implement, and evaluate innovative Extension programs in Natural Resource Management (NRM) tailored to the needs of limited-resource farmers, small producers, youth, and other stakeholders in South Carolina. Focus areas may include soil health, sustainable/regenerative/precision crop production, control environment agriculture, alternative marketing strategies, and value-added agriculture.
  • Conduct field demonstrations, workshops, trainings, and educational events across the state.
  • Develop strong relationships with stakeholders, commodity groups, government agencies, and other universities to address critical issues in natural resource management.
  • Prepare and disseminate educational materials, including fact sheets, newsletters, online resources, and presentations.
  • Research: Establish and maintain an active, extramurally funded research program focused on addressing challenges and opportunities in natural resource management, sustainable/regenerative/precision agriculture relevant to the needs of the state and region. Research areas may include but are not limited to: soil health, sustainable/regenerative/precision crop production, control environment agriculture, alternative marketing strategies, and value-added agriculture.
  • Publish research findings in peer-reviewed journals and present at professional conferences.
  • Mentor undergraduate and potentially graduate students in research activities.
  • Seek and secure external grant funding from federal, state, and private agencies to support research and outreach efforts.

Minimum Requirements:
  • Ph.D. in Natural Resource Management (NRM) or a closely related field (i.e. soil science, plant science, plant pathology, horticulture, agronomy) from an accredited institution.
  • Demonstrated expertise and experience in at least two of the following areas: soil, land, water conservation, vegetable/fruit production, control environment agriculture.
  • Evidence of effective teaching experience at the university level (as an instructor, teaching assistant, or guest lecturer).
  • Strong communication and interpersonal skills, with the ability to effectively engage with diverse audiences (students, farmers, researchers, extension personnel).
  • Ability to work independently and collaboratively in a team environment.
  • Commitment to the mission and values of an 1890 Land-Grant Institution, including serving underrepresented populations and promoting agricultural sustainability.
  • Valid driver's license and ability to travel frequently within the state for extension activities.

Preferred:
  • Postdoctoral research experience.
  • Experience in securing external grant funding for research or extension programs.
  • Demonstrated experience in developing and delivering extension programming.
  • Familiarity with the challenges and opportunities facing agriculture in South Carolina and the southeastern United States.
  • Experience working with diverse student populations and agricultural communities.

SC STATE UNIVERSITY IS AN EQUAL OPPORTUNITY EMPLOYER
Advertised: 21 Aug 2025 Eastern Daylight Time
Applications close:
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