Field Data Analysis Intern

About Pivot Bio:  

Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our products harness the power of naturally occurring microbes to provide nutrients to crops and new sustainable ways for farmers to reduce the usage of fertilizers as they work to help feed the world’s growing population.

Read/Hear more about Pivot Bio on Forbes or PBS News Hour. 

Position: Field Data Analysis Intern 
 
Location: Remote 

Targeted start date summer 2023 

We are looking for a summer intern on our Data Science team.  The intern will have the opportunity to work on two exciting projects with the ability to do independent research and build critical tools for our team.  These projects involve independent research into statistical techniques to improve our field data analysis pipelines as well as the visualization of model output.  The intern will produce a workflow for model development across our field sites and flexible R and Python packages for the visualization of various standard reporting metrics across the Data Science team.  These outputs will help us process, analyze, and communicate data more effectively to stakeholders across the organization.  We are seeking applications for a full-time internship lasting approximately 3 months. 

Responsibilities: 

• Research statistical and machine learning methods for linear mixed effects model development to formalize and automate field trial analyses 
• Incorporate model development best practices into field data analysis workflows in Python and R 
• Communicate with Data Science team members to gather requirements for model selection workflow and data visualization needs 
• Incorporate team members’ visualization needs into flexible R and Python graphing packages using plotly, ggplot, etc 
• Incorporate data visualization best practices to create clear, information-dense visualizations for a variety of expert and non-expert audiences 

Physical Demands:  

• Job will involve mostly office and computer-based work  
• Repeating motions that may include the wrists, hands, or fingers 
• Sedentary work that primarily involves sitting/standing 
• Communicating with others to exchange information 

Qualifications and Experience: 

• Experience with linear mixed effects models 
• Experience coding in Python and R 
• Experience communicating analysis results to diverse stakeholders 
• Knowledge of Bayesian statistics preferred 
• Machine learning/pattern recognition experience preferred 
• Pursuing graduate degree in statistics/data science/computer science 

*Must be authorized to work in the United States* 

What we offer: 

• Exciting opportunity contribute to and work with a talented and fun team 
• Opportunity to gain paid, real-world, practical experience in your field of interest