{"data":{"company":{"name":"Bayer Crop Science","slug":"bayer-crop-science","logo_url":"https://logos.yubhub.co/talent.bayer.com.png","canonical_domain":"talent.bayer.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Bayer and Neste Finalize Deal to Scale newgold Winter Canola for Biofuels - 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As an intern, you will work with the HSE team to enhance workplace safety, develop environmental practices, and ensure regulatory compliance.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with skilled HSE professionals to improve workplace safety and environmental practices</li>\n<li>Participate in risk assessments and safety audits to identify hazards and recommend improvements</li>\n<li>Conduct regulatory research and maintain compliance initiatives</li>\n<li>Work with cross-functional departments to promote safety awareness and environmental responsibility</li>\n<li>Assist in preparing HSE documentation, reports, and presentations</li>\n<li>Support the implementation of Operational Excellence and site-wide safety improvement initiatives</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Currently enrolled in a bachelor&#39;s or master&#39;s degree program in Safety Engineering, Occupational Health, Industrial Engineering, Environmental Engineering, or a related field</li>\n<li>Completed at least your sophomore year with a minimum overall GPA of 3.0</li>\n<li>Proficient in MS Office Suite (Word, Excel, PowerPoint)</li>\n<li>Ability to commute daily to the Kansas City, MO site and available for the internship period (May 17 – August 6, 2027)</li>\n<li>Willingness to climb stairs and ladders and work in a dynamic chemical plant environment</li>\n</ul>","enriched_at":1788536605533},{"id":"job_95837a50-ad2","title":"Data Collection and Digital Phenotyping Intern","source_url":"https://talent.bayer.com/careers/job/562949978464458","location":"Chesterfield, Missouri","job_type":"internship","experience_level":"entry","work_arrangement":"hybrid","category":"IT","description":"<p>We are seeking a Data Collection and Digital Phenotyping Intern to join our team at Bayer Crop Science in Chesterfield, Missouri. As an intern, you will collect imagery and remote sensing data from field trials through various sensing technologies, as well as capture agronomic and manual experimental data. You will collaborate with Field Testing, Data Science, and Computer Vision teams to accomplish research goals.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Collect imagery and other sensing data from field trials using a variety of sensing equipment including LiDAR and multi-spectral sensors;</li>\n<li>Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights;</li>\n<li>Support agronomic assessments using manual ground-truthing methods in addition to UAV/sensing data collection;</li>\n<li>Contribute to system and workflow improvements by applying creativity and problem-solving to large-scale data challenges.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Active MS or PhD candidate in a relevant discipline (data science, precision agriculture, agricultural engineering, plant physiology, crop science, entomology, weed science, or pathology);</li>\n<li>FAA Part 107 license to operate UAVs is a must, or ability to obtain before the start date;</li>\n<li>Strong knowledge of remote sensing technologies, including LiDAR, multi-spectral or hyperspectral technologies;</li>\n<li>Familiarity with agricultural research and field trial methodologies;</li>\n<li>Ability to work collaboratively across areas of expertise;</li>\n<li>Basic understanding of core ML concepts (loss functions, regularization, optimization methods such as SGD/Adam, and learning rate scheduling).</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Hands-on experience with modern remote sensing technologies and equipment;</li>\n<li>One to two years of UAV imaging data collection experience;</li>\n<li>Strong analytical and problem-solving skills;</li>\n<li>Experience with generating and managing large-scale data sets from sensing equipment;</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure).</li>\n</ul>\n<p><strong>Salary and Benefits:</strong></p>\n<ul>\n<li>Salary: approximately $22.75 to $47.75 per hour;</li>\n<li>Additional compensation may include a bonus or commission;</li>\n<li>Benefits may include health care, vision, dental, retirement, PTO, sick leave, etc.</li>\n</ul>","enriched_at":1788448069771},{"id":"job_493baf45-c17","title":"Computer Vision and Data Analysis Co-Op","source_url":"https://talent.bayer.com/careers/job/562949978464391","location":"Chesterfield, Missouri","job_type":"internship","experience_level":null,"work_arrangement":"hybrid","category":"IT","description":"<p>In this role, you will analyze and summarise data generated from field trials through digital phenotyping, applying modern computer vision and machine learning methods to support decision-making and identify opportunities for system and process improvements in collaboration with Field Testing, Data Science, and Computer Vision teams.</p>\n<p>This position is based on a hybrid work model at the Bayer Crop Science facility in Chesterfield, Missouri. Regional travel includes nearby field testing sites in Illinois, with potential travel to other Midwest and Midsouth locations.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Analyze and interpret imagery and metrics generated from field trial data using advanced machine learning and computer vision techniques;</li>\n<li>Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights into data analysis and model development;</li>\n<li>Support experimental design by integrating insights from field assessments (UAV, remote sensing, and manual methods);</li>\n<li>Contribute to system and workflow improvements by applying creativity and problem-solving to large-scale data challenges.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Active M.S. or Ph.D. candidate in a relevant discipline (data science, precision agriculture, agricultural engineering, plant physiology, crop science, entomology, weed science, or 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Azure);</li>\n<li>FAA Part 107 license to operate UAVs, or ability to obtain before the start date.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>Salary of approximately between $22.75 to $47.75.</li>\n<li>Additional compensation may include a bonus or commission.</li>\n<li>Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc.</li>\n</ul>","enriched_at":1788448038616},{"id":"job_a3b2b9c7-de6","title":"Vegetable Seeds Intern","source_url":"https://talent.bayer.com/careers/job/562949978349040","location":"Payette, ID","job_type":"internship","experience_level":"entry","work_arrangement":"onsite","category":"Manufacturing","description":"<p>In this role, you will support and learn the fundamentals of vegetable seed manufacturing while building strong relationships with regional and global stakeholders.</p>\n<p>You will contribute to key operational, field, and process improvement activities that enable reliable, high-quality seed production.</p>\n<p>The location for this role is Nampa, Idaho or Payette, Idaho.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Assist with documentation of operational processes within the Manufacturing Excellence function;</li>\n<li>Work with onsite Manufacturing teams to execute key projects and deliverables in the processing of vegetable seeds;</li>\n<li>Support field activities including: timely stock seed (SS) shipment to growers and SS reconciliation, trial coordination, rouging, disease and weed scouting, pollination, harvesting, threshing, drying, and delivery from grower to processing facility;</li>\n<li>Complete data validation and SAP reports to support global and regional operations needs, including equipment run time, sustainability data, and plant scheduling needs;</li>\n<li>Support Quality and HSE functions to drive key programs and targeted metrics;</li>\n<li>Collaborate with cross-functional regional teams and global teams to identify opportunities for improvement and work with the team to implement solutions;</li>\n<li>Cooperate with Crop Specialists, Field Quality, and Production Research personnel to identify, develop, and implement projects to improve reliability, quality, and/or cost;</li>\n<li>Work with global and regional teams on business initiatives, standardization, optimization projects, and related activities.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Currently enrolled in a bachelor’s degree program;</li>\n<li>Valid driver’s license and personal transportation to and from the worksite, as most work locations are situated in areas with no public transportation available;</li>\n<li>Ability to build relationships and work well in a team-based environment;</li>\n<li>Ability to communicate effectively with all levels of the organization;</li>\n<li>Self-motivated with a strong results orientation;</li>\n<li>Demonstrated ability to manage deadlines while maintaining strong attention to detail;</li>\n<li>Strong problem-solving skills and ability to organize (thoughts, data, etc.);</li>\n<li>Excellent computer skills related to data acquisition and record keeping;</li>\n<li>Demonstrated leadership ability;</li>\n<li>Ability to learn, willingness to ask questions, and adaptability to change.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant).</p>","enriched_at":1788365035186},{"id":"job_8590690a-395","title":"Kansas City Engineering Intern","source_url":"https://talent.bayer.com/careers/job/562949978401586","location":"Kansas City, Missouri","job_type":"internship","experience_level":"entry","work_arrangement":"onsite","category":"Engineering","description":"<p>Join Bayer Crop Science as a Kansas City Engineering Intern and gain hands-on experience working with talented Engineering and Maintenance teams. You&#39;ll develop and coordinate efforts that make a real impact, contributing to meaningful projects that drive innovation and efficiency.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with engineers and staff to enhance chemical processes, improve yields, reduce waste, and cut down cycle times.</li>\n<li>Help shape project objectives and scope by analyzing stakeholder requirements and basic design packages.</li>\n<li>Ensure all projects and activities align with engineering standards, safety and environmental regulations, and plant operating protocols.</li>\n<li>Work with facilities and reliability engineers to understand maintenance, procurement, and reliability programs in chemical plants.</li>\n<li>Perform and verify engineering calculations using standard methods and principles.</li>\n<li>Conduct engineering cost, feasibility, and planning studies and provide recommendations based on stakeholder needs and data analysis.</li>\n<li>Team up with production and technical staff for process troubleshooting and problem-solving.</li>\n<li>Contribute to the implementation of Operational Excellence program and support site-wide Process Improvement/Lean Manufacturing initiatives.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Currently enrolled in a bachelor&#39;s or master&#39;s degree program in Chemical Engineering, Mechanical Engineering, or Electrical Engineering.</li>\n<li>Successfully completed at least your sophomore year with a minimum overall GPA of 3.0.</li>\n<li>Proficient in MS Office Suite (Word, Excel, PowerPoint).</li>\n<li>Able to commute daily to Kansas City, MO site.</li>\n<li>Available for the internship period (May 17 – August 6, 2027).</li>\n<li>Willing and able to climb stairs and ladders and ready to work in a dynamic chemical plant environment.</li>\n</ul>","enriched_at":1788364958747},{"id":"job_fec61da2-3e3","title":"Transformation Discovery Co-Op","source_url":"https://talent.bayer.com/careers/job/562949978464441","location":"Chesterfield, Missouri","job_type":"internship","experience_level":null,"work_arrangement":null,"category":"Research","description":"<p>In this co-op role within Cell Biology, Plant Biotechnology at Bayer Crop Science, you will help improve the transformation process of major row crops by applying cell and developmental biology principles to decipher underlying transformation mechanisms and develop enhanced protocols for the transformation pipeline.</p>\n<p>The primary responsibilities of this role are to:</p>\n<ul>\n<li>Apply defined scientific principles to solve complex scientific problems;</li>\n<li>Design, conduct, and interpret experiments to improve the transformation pipeline;</li>\n<li>Organize, document, and report research outcomes in a timely manner;</li>\n<li>Develop improved Agrobacterium-based transformation protocols for major row crops;</li>\n<li>Collaborate with system improvement scientists to innovate and develop transformation systems;</li>\n<li>Collaborate with production team members to enable technology transfer;</li>\n<li>Demonstrate commitment to safety and adhere to safety protocols and best practices.</li>\n</ul>\n<p>Qualifications and competencies required include:</p>\n<ul>\n<li>Currently enrolled in or has completed a Master’s or PhD degree program;</li>\n<li>Degree specialization in Plant Biology, Developmental Biology, Plant Physiology, Genetics, Molecular Biology, or a related field;</li>\n<li>Plant tissue culture and transformation experience;</li>\n<li>Stays current with new scientific and technological developments;</li>\n<li>Ability to learn and apply new concepts and techniques;</li>\n<li>Good record keeping with strong attention to detail;</li>\n<li>Troubleshooting experience;</li>\n<li>Good communication skills;</li>\n<li>Ability to work effectively in diverse team environments.</li>\n</ul>\n<p>Employees can expect to be paid a salary of approximately between $22.75 to $47.75. 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