Sorghum Breeding Scientist: Lead Hybrid Development

Vylor Inc.; College Station (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health benefits

4 weeks PTO

Well-being pay

Paid holidays

Parental leave

Retirement plan

Tuition reimbursement

Job summary

Vylor Inc. is seeking a Sorghum Breeding Scientist to join our team in Navasota, TX (onsite). You will plan and conduct sorghum breeding research, identify customer needs, and lead a program delivering superior hybrids aligned with product development objectives.

The role requires a PhD in plant breeding/genetics and strong data analytics skills. You will work independently and within a regional team, applying digital breeding methods, genome-wide predictions, and phenotypic data to drive

Qualifications

• PhD in plant breeding/genetics required or preferred.
• Independent, highly motivated scientist with strong teamwork skills.
• Experience in quantitative genetics, meta-analysis, and data analytics.

Responsibilities

• Plan and conduct sorghum breeding research to develop superior hybrids and inbreds.
• Lead a sorghum breeding program aligned with product development objectives.
• Utilize digital breeding methods and field phenotyping to drive improvements.
• Collaborate across teams and communicate results to stakeholders.

Skills

Data analytics

Population genetics

Genome-wide prediction

Digital breeding

Strong communication

Self-motivated

Project coordination

Field data analysis

Education

PhD in Plant Breeding or Plant Genetics

Job description

Vylor Inc. is seeking a Sorghum Breeding Scientist to join our team in Navasota, TX (onsite). You will plan and conduct sorghum breeding research, identify customer needs, and lead a program delivering superior hybrids aligned with product development objectives.

The role requires a PhD in plant breeding/genetics and strong data analytics skills. You will work independently and within a regional team, applying digital breeding methods, genome-wide predictions, and phenotypic data to drive