North America Production Research Data Insights Intern
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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. North America Production Research Data Insights Intern Your Tasks And Responsibilities The primary responsibilities of this role are to:- 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;
- Collaborate on projects with partner teams and across world regions (NA, LATAM, EMEA, APAC) and organizations to guide development and implementation of Precision Breeding;
- Support the Health Safety & Environment, Compliance, Business Conduct and Human Rights policies and culture.
- MS or PhD in Software Engineering, Data Science, Genomics, or other relevant scientific fields. Undergraduate candidates 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 leading and influencing activities of cross-functional teams without direct reporting relationships;
- Ability to lead and influence key stakeholders through challenges and opportunities, as well as facilitate solutions;
- Results orientation with demonstrated ability to manage multiple projects/priorities simultaneously.
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