Flora Food Group

Flora Food Group

R&D Food Scientist

Hugoton, KS, US · Internship

Sponsorship not specifiedDetected 17 hours ago
Data AnalysisExcelCommunicationCollaborationProblem SolvingFood Science

About the role

  • In this role, you'll assist with trial execution, data collection, and commissioning of new production lines, while ensuring hygiene, safety, and efficiency in our experimental platform.
  • You'll also coordinate the collection of sales samples and contribute to continuous improvement initiatives.
  • This is a hands-on role for someone passionate about food science and process engineering who thrives in a collaborative, fast-paced manufacturing environment.

Responsibilities

  • Assist in planning and executing pilot plant trials with R&D project leads.
  • Prepare equipment configurations and manage raw material and packaging inventory.
  • Support trial execution, troubleshooting, and post-trial cleaning (CIP).
  • Maintain hygiene, safety, and first-level maintenance of pilot plant equipment.
  • Production Support & Industrial Implementation
  • Support commissioning of new production lines by verifying process parameters and product specifications.
  • Collaborate with R&D, Quality, Engineering, and Operations for smooth product scale-up.
  • Update SOPs and maintain documentation related to pilot plant operations and safety.

Nice to have

  • Bachelor's degree in Food Science, Chemical Engineering, Bioprocessing, or related field
  • 5+ years of experience in food manufacturing operations.
  • Internship or academic experience in a pilot plant or food manufacturing preferred.
  • Strong foundation in food science and process engineering
  • hands-on experience on the plant floor.
  • Experience in improving processes, recipes, equipment upgrades, and testing methodologies.
  • Strong communication, organization, and problem-solving skills.
  • Team-oriented with the ability to thrive in a fast-paced environment.

This listing is sourced directly from Flora Food Group's careers page and normalized into a canonical job model.