Pollination Field Associate (Michigan) at Beeflow

South Haven, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

23.0

Posted On

14 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Field Research, Communication, Time Management, Attention To Detail, Driving, Google Suite, Independent Work, Beekeeping, Bee Biology, Crop Tagging, Logistics, Data Uploading

Industry

Biotechnology

Description

About Beeflow Beeflow is a biotech startup company that leverages scientific knowledge and technology to improve the impact of ecosystem services in agriculture. Beeflow creates and manages pollination programs for farmers with the goal of consistently increasing crop yields. The company combines scientific knowledge of crop pollination, bee biology & behavior and chemical ecology with proprietary technologies including molecules that help train bees to pollinate specific crops and a plant-based bee diet that enhances bees’ immune system. This novel approach to pollination management allows growers to produce more with less. Based in California and with operations across the US West Coast, Mexico, Peru and Argentina, Beeflow closed an $8.3M Series A in May 2021 with Ospraie Ag Sciences, Future Ventures, Vectr Ventures, Jeff Wilke (former CEO of Worldwide Consumer at Amazon), SOSV and others. Beeflow’s team of experts includes biologists, ecologists, entomologists, agronomists, and entrepreneurs. For more information about Beeflow, please visit www.beeflow.com. About this role Pollination Field Associates will support our research trials and projects for the upcoming Blueberry season. Additionally, monitors will be responsible for assisting with data uploading, and project logistics. This position reports to the Operations Manager. This is a seasonal position starting mid April. The duration of this position is 6-8 weeks. Responsibilities Assist in executing our pollination services to growers Participate in ongoing research and development trials if needed Participate in data collection by accurately recording key points and daily upkeep of data sheets and field notes Work efficiently and in a timely manner to complete daily activities in multiple different fields With the aim of meeting target data collection quantity for the season Assist in crop tagging - tag branches in different crops in a systematic way Provide feedback at the end of projects to determine avenues for improvement BS in Entomology, Agronomy, Plant Sciences, Biology, Ecology, or equivalent preferred Field research experience Interest in pollination and/or agriculture A valid driver’s license and confidence in driving for long periods of time Based in the Grand Haven or South Haven area (Michigan, US) Ability to communicate clearly, consistently, and promptly. Familiarity with Google Suite Comfortable working independently in the field with support from remote manager Must be detailed oriented Bilingual (Spanish/English) is preferred Work Environment Ability to stand or walk for extended periods of time Ability to work with bees and wear appropriate protective equipment Ability to work in outdoor environments in varying weather conditions Must be comfortable working with bees and getting stung Compensation Target: 23/ hourly Beeflow reserves the ability to adjust the compensation range based on the final candidate’s experience, skillset, and geography. Opportunity to join an innovative and growing Ag Tech Start up whose mission is to contribute to the creation of a food system in harmony with nature. Work alongside a team of talented and passionate professionals, having the opportunity to make your first steps in the industry and learning about beekeeping and bee biology. Competitive salary

Responsibilities

Pollination Field Associates will support research trials and projects for the Blueberry season, assisting with data uploading and project logistics. Responsibilities include executing pollination services, participating in R&D trials, and accurately recording field data.