In Bayer’s Crop Science division, we shape agriculture through breakthrough innovation that helps to nourish our growing world, preserve natural resources and deliver better solutions for all farmers. Using the creative spark that comes from human ingenuity, we seek to deliver world-class innovation, set new standards in sustainability, and drive our digital transformation. Our products include high-performance seeds & traits, crop protection solutions, and digital farming tools.

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Chemistry Informatics Co-Op, are to: 

• Assist and collaborate in the development of a robust metabolomics database;
• Develop tools for automated searching and processing, batch processing of data file conversion, generating streamlined workflows, etc.;
• Support the automated generation of reports;
• Provide verbal updates to his/her supervisor and mentor and maintain a lab notebook following company policy;
• Support in building a streamlined metabolomics workflow in dereplication process, including troubleshooting errors and optimizing processes;
• Implement pending features (changes in analytical methods, scripts, etc.);
• Backfill reports into a centralized location and debug scripts;
• Work with supervisor to develop a decision tree/automated process for process Quality Control(QC), optimization and report review.

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:

• Currently enrolled in a Bachelor of Science in Chemistry, Biology, Computer Science, or STEM program;
• Programming in any combination of Python, Perl, SQL, Visual Basic, MATLAB and/or R;
• Strong organizational, problem solving and time-management skills;
• Programming skills that could be applied to automating chemistry workflows;
• Self-motivated, quickly adapts to changing situations and a willingness to learn.

Preferred Qualifications:

• Previous experience with programming in a chemistry research setting;
• Familiarity with chemical structure drawing programs and chromatography and mass spectrometry techniques;
• Previous experience with chemistry databases, generating an LC-MS/MS library and creating chemistry macros or simplifying workflows.