YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Breeder -Pepper, are to: 

• Manage a breeding pipeline from population creation through field testing to evaluate and advance the highest performing germplasm;
• Drive development and implementation of new breeding strategies, technologies, operational processes, and digital capabilities;
• Regard as an authority in own field of specialization by the organization;
• Integrate data science throughout the breeding process to enable a cognitive decision-making workflow and drive automation of downstream operations;
• Foster strong collaborative relationships with enabling teams to deliver a robust pipeline and ensure meaningful knowledge transfer during pipeline hand-offs;
• Work across crops and global regions to execute the appropriate experiments that will thoroughly evaluate germplasm to achieve commercial portfolio targets;
• Demonstrate an expanded sphere of technical and leadership influence;
• Foster the breeding pipeline through close collaboration with logistics, operations, molecular laboratories, and advanced phenotyping teams;
• Explore new breeding methodologies and technologies that will revolutionize the plant breeding process;
• Develop people by working closely with research station management to fully participate in staff development.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Master’s degree with at least eight years of relevant experience or Ph.D. with at least four years relevant experience in Plant Breeding, Genetics, or related fields;
• Strong background in plant breeding, quantitative genetics, experimental design, statistical analysis or data science;
• Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals;
• Demonstrated experience leading and influencing activities of cross functional teams without direct reporting relationships;
• Ability to lead and influence key stakeholders through challenges and opportunities;
• Facilitate solutions;
• Results orientation with demonstrated ability to manage multiple projects/priorities simultaneously.

Preferred Qualifications:

• Familiarity with data science and computer programming and a demonstrated ability to perform data analysis with large datasets;
• Experience with automated phenotyping/remote sensing and the interpretation of imaging data;
• Experience in coding software such as "R", "Python", etc.