Vegetable Operations Research Intern

 

Vegetable Ops Rsrch Intern 

         

PURPOSE

Optimize Vegetable variety testing network by identifying key data quality and analysis components. Leverage cross-functional collaboration to implement solutions for effective advancement decisions that are reliant on an effective use of good data to make good advancement decisions.  Improved data quality will also impact genome wide selection modelling work being done across the different pipelines.

 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to:

• Delivering innovative vegetable products to growers is predicated on phenotyping novel genotypes across a diverse testing network.
• Monitoring the quality of captured phenotype data is needed to gauge our progress and take corrective actions in delivering the highest quality data.
• This intern will establish key statistical indicators of trial quality and develop an automated workflow to drive actionable decision making.
• This position will have access to multi-year breeding trial data to develop and evaluate analyses and workflows on. By objectively quantifying phenotypic data quality this will enable re-design of collection protocols and testing footprints to deliver highest quality of data to stakeholders. 
• Interns are responsible for executing experiments and research according to protocols, collecting and documenting data, maintaining equipment and supplies and working closely with a team to share learnings and guide next steps.
• Develop key statistical indicators of trial quality and relevant KPIs (key performance indicators)
• Define foundations of an IT tool that will allow future assessments to be done in an automated way
• Develop a framework for the visualization of the network quality metrics against KPIs
• Using historical data, would we have made different advancement decisions based on new quality metrics
• Translate POC analyses and learnings to ongoing global project perspectives
• Attentive to all safety and other trainings
• Learn about and work according to our LIFE values:  leadership, integrity, flexibility and efficiency

 

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 pursuing an undergraduate or graduate degree in one of the following areas: Statistics, Plant Breeding, Decision Science
• Well versed in plant breeding operations, handling high dimension phenotypic data, experimental design, quantitative genetics, statistical analysis in plant breeding 
• Experience with R, Python, Spotfire, SQL, Data visualization tools
• Strong communication, organizational skills, attention to detail and familiarity with scientific method is desired.

 

This is a remote position, with a preference for candidates located in Woodland, CA or Chesterfield, MO who will work onsite.

    YOUR APPLICATION      

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 
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. 

      Bayer is an E-Verify Employer.               Location: United States : Residence Based : Residence Based      Division: Crop Science     Reference Code: 803000          Contact Us     Email: hrop_usa@bayer.com