Data Collection and Digital Phenotyping Intern

Collect imagery and remote sensing data from field trials through various sensing technologies, as well as capture agronomic and manual experimental data; collaborate with Field Testing, Data Science, and Computer Vision teams to accomplish research goals.

This position is based on a hybrid work model at the Bayer Crop Science facility in Chesterfield, Missouri; regional travel includes nearby field testing sites in Illinois, with potential travel to other Midwest and Midsouth locations.

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role include:

• Collect imagery and other sensing data from field trials using a variety of sensing equipment including LiDAR and multi‑spectral sensors;
• Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights;
• Support agronomic assessments using manual ground‑truthing methods in addition to UAV/sensing data collection;
• Contribute to system and workflow improvements by applying creativity and problem‑solving to large‑scale data challenges.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Active MS or PhD candidate in a relevant discipline (data science, precision agriculture, agricultural engineering, plant physiology, crop science, entomology, weed science, or pathology);
• FAA Part 107 license to operate UAVs is a must, or ability to obtain before the start date;
• Strong knowledge of remote sensing technologies, including LiDAR, multi‑spectral or hyperspectral technologies;
• Familiarity with agricultural research and field trial methodologies;
• Ability to work collaboratively across areas of expertise;
• Basic understanding of core ML concepts (loss functions, regularization, optimization methods such as SGD/Adam, and learning rate scheduling).

Preferred Qualifications:

• Hands‑on experience with modern remote sensing technologies and equipment;
• One to two years of UAV imaging data collection experience;
• Strong analytical and problem‑solving skills;
• Experience with generating and managing large‑scale data sets from sensing equipment;
• Experience with cloud platforms (AWS, GCP, or Azure).

Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant).  Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant).  This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least March 19, 2027