Sorghum Breeding Scientist

Join Vylor—Powering the Future of Agriculture​

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.​

Join us to help scale innovation globally and shape what’s next in crop science.

We are looking for a Sorghum Breeding Scientist to join our team. This role is located onsite in Navasota, TX (near College Station, TX).

What You'll Do:

• Plans and conducts comprehensive sorghum breeding research program which furthers the development of sorghum hybrids and inbreds; and associated research projects.  Identifies internal and external customer needs. Work implies hands-on analysis, advanced breeding, training, and field activity
• Lead a sorghum breeding research program that delivers superior hybrids, which provide performance improvements consistent with product development objectives
• Leverage enabling breeding technologies to drive product development improvements
• Advance novel methodology useful for the development of new sorghum hybrids
• Contribute to leadership of the Research Center, and effectively communicate with other scientists as necessary to ensure the success of all research activities at the Research Center
• Develop and deploy selection strategies for multi-trait selection of traits of interest
• Work both independently and as a member of a regional team to deliver products

What You Need:

• PhD in plant breeding or plant genetics, with an emphasis in the areas of genetics and data analytics is preferred.
• An independent, highly motivated, and self-directed scientist is required.
• Comprehensive knowledge and applied research experience in plant genetics or plant breeding.
• Strong verbal and written communication skills and a proven ability to work well in a team environment.
• Experience or familiarity with quantitative/population genetics, meta-analysis, genome wide prediction methods, and other digital breeding methods. 
• Preference given to those with experience in leveraging artificial intelligence into their daily work.
• Experience with field research processes and phenotypic data analyses and utilization is essential.
• Strong organizational skills to plan and coordinate experiments across projects and abilities to effectively share results across the organization are required.
• Excellent personal interaction skills required for effectively developing strong internal and external working relationships with a diverse group of people.
• We seek unique leaders who are strongly motivated by the desire to solve scientific questions; who are highly skilled quantitative scientists that excel at deeply investigating phenotypic and genetic information; and who can deliver results in a fast-paced, team-oriented environment.
• Must be able to work in varying ergonomic environments including field activities such as planting, pollinating, harvest, and data collection.

Benefits – How We’ll Support You:

• Numerous development opportunities offered to build your skills
• Be part of a company with a higher purpose and contribute to making the world a better place
• Health benefits for you and your family on your first day of employment
• Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
• Excellent parental leave which includes a minimum of 16 weeks for mother and father
• Future planning with our competitive retirement savings plan and tuition reimbursement program
• Learn more about our total rewards package here - Vylor Benefits
• Check out life at Vylor! https://www.linkedin.com/company/vylorgenetics/

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.