Essential Responsibilities:

Organize and prepare historical field trial documents (PDFs, PowerPoint files, spreadsheets) for AI-driven analysis
Capture and validate document metadata (crop, location, year, product, file type, etc.)
Build and maintain structured reference tables, including:
- Product and formulation tables
- Product name and alias mappings (legacy names, internal codes, marketing names)
Assist with defining and validating standardized trial data schemas
Review and quality-check AI-extracted data from field trial documents
Help flag ambiguous or low-confidence data for expert review
Write simple scripts (e.g., Python) for data cleaning, validation, and comparison
Document assumptions, data standards, and edge cases to support long-term use

Qualifications:

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
Experience working with structured data (tables, CSV files, basic schemas)
Basic proficiency in Python
Strong attention to detail and comfort working with messy, real-world data
Ability to document work clearly and communicate findings to technical and non-technical teammates.
Familiarity with NLP, machine learning, or large language models (coursework or projects) is a plus.
Interest in applied AI, data science, agriculture, biology, or environmental science

What You Will Gain:

Hands-on experience applying AI to unstructured enterprise data
Exposure to real-world data processing and AI workflow design
Understanding of how R&D, data science, and commercial decision-making connect in industry
Mentorship from experienced field scientists and data practitioners
A portfolio-worthy project with tangible, lasting impact

Deliverables and Impact:

By the end of the internship, the intern will have contributed to:

A standardized, documented product and alias reference system
A searchable, well-organized trial document repository
Clean, validated datasets ready for AI extraction and analytics
Documentation enabling the project to scale beyond the internship

Physical Demands:

The physical demands described here are the representative of those that must be met by an employee to successfully perform the essential functions of this job:

While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee frequently is required to stand, walk; and stoop or kneel. The employee must regularly lift and/or move up to ten pounds, occasionally lift and/or move up to twenty pounds, and rarely lift and/or move more than twenty-five pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Verdesian Life Sciences

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Data & AI Intern