Reference code: 367563

Start date: June 14, 2021 
End date: September 3. 2021

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Vegetable Research and Development Pathology Intern, are to: 

• Work closely with his/her mentor and collaborators to identify and implement the best methodology for robust Quantitave Trait Locus (QTL) prediction leveraging genomics and phenomics data;
• Work closely with his/her mentor to create training datasets across many crops and traits and develop a process to validate the predictions;
• Create a robust and scalable processes to integrate the algorithms and insights into the existing pipeline workflow;
• Work with collaborators to develop and implement clear and impactful data visualizations which enable pipeline coordinators to utilize and operationalize the learnings and prediction;
• Be tasked with exploring cutting edge technologies and how they could be applied within our pipeline to create novel insights and optimal strategies;
• Work with his/her mentor to demonstrate the value of the predictions and analytics described above by applying them to real, valuable decisions within a specific trait;
• Identify data gaps and future experimentations where active acquisition of additional data would enable the expansion of the capabilities developed.

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:

• Must be currently enrolled in a Master of Science or Ph.D. in Computer Science, Statistics, Data Science, Computational Biology, Quantitative Genetics or other Quantitative majors;
• Proficiency in Machine Learning and Statistics algorithms and concepts (Mixed Models, Random Forest, Deep Learning, etc.);
• Strong programming skills in Python, R, SQL with a preference for Python;
• Problem solving ability and experience in analyzing and presenting complex data;
• Organizational, interpersonal and written communication skills;
• Strong business aptitude, the ability to rapidly learn new problem domains and become conversant in the domain with subject matter experts;
• Ability to communicate complex ideas in a clear, precise and actionable manner;
• Detail and results oriented with the ability to work independently;
• Ability to actively engage with internal partners and external collaborators to align strategies and success measures in analytics;
• Must be available to work 40 hours from June 14th, 2021 through September 3rd, 2021.

Preferred Qualifications:

• Willingness to extend own data science and statistical interests to agriculture and/or experience working with agricultural/biological scientific data;
• Experience with cloud computing platforms (AWS, GCP);
• Experience with cutting edge ML algorithms.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now.

Please click HERE to learn more and to apply online.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.