Production Research Data Engineer Intern – Bayer

About Bayer

Bayer Crop Science Innovation Center uses the latest in digital tools and data to drive agricultural innovations, which increase efficiency and reduce the amount of water, land, and energy necessary to meet the world’s food fuel and fiber needs. These tools benefit farmers, consumers, and the planet. Bayer Crop Science seeks to deliver world-class innovation, set new standards in sustainability, and drive digital transformation. In 2016, Bayer acquired Monsanto. Currently, they operate as two separate legal entities, but they are working toward the integration of the two companies. In 2018, Monsanto opened a new innovation center at Research Park.

About the Role

Bayer is hiring a Production Research Data Engineer Intern to perform crop research.

Responsibilities

• Global expansion of genomic prediction models and standardization across crops and world regions;
• Solve connections between operations and genomic information in Corn and Canola in a user-friendly interactive UI;
• Solve the challenges of introgression several data layers in a time sensitive prediction model that is tunable to the world region, pipeline, and product;
• Collaborates on projects with partner teams and across world regions (NA, LATAM, EMEA, APAC) and organizations to guide development and implementation of Precision Breeding;
• Supports the Health Safety & Environment, Compliance, Business Conduct and Human Rights policies and culture.

Required Qualifications

• MS or PhD Candidate in Software Engineer, Data Science, Genomics, or other relevant scientific field. Undergraduate Candidate will be considered based on project experience;
• Experienced in analysis of large biological datasets, as well as coding experience in C, Fortran, R, Python, SQL or similar software and languages;
• Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses;
• Experience with computational and analytical tools in molecular biology, genetics, and biochemistry;
• Demonstrated experience working collaboratively in cross functional and cross cultural teams to achieve common goals;
• Demonstrated experience leadingand influencing activities of cross functional teams without direct reporting relationships;
• Ability to lead and influence key stakeholders through challenges and opportunities; facilitates solutions;
• Results orientation with demonstrated ability to manage multiple projects/priorities simultaneously.

Apply Here!