Location: Primarily remote, with in-person training in New Haven, Connecticut, USA. Over 50% of the role will involve travel to remote locations for fieldwork.
Team: Map of Life Solutions and Yale Center for Biodiversity and Global Change
Duration: 3–4 months (training and testing period, with potential for full-time role)
Compensation: Salary + Lodging in New Haven for the duration of training
Reports to: COO
Start Date: As soon as possible

About Us

Map of Life Solutions is a biodiversity intelligence company that leverages advanced analytical methods developed at the Yale Center for Biodiversity and Global Change. We integrate AI, remote sensing, and ecological data to provide near-real-time insights into species distributions and biodiversity trends.

Our tools power a growing ecosystem of decision-makers in Corporate ESG teams, conservation finance, governments, project developers, and NGOs. We help them act with greater confidence, accountability, and speed when it comes to biodiversity.

Map of Life is a winner of the XPRIZE Rainforest competition and part of a global movement to transform how we measure and protect life on Earth.

About the Role

We are seeking a disciplined, detail-oriented Rapid Assessment Fieldwork Specialist to support the implementation of innovative biodiversity monitoring solutions. Based in New Haven, you will work with a multidisciplinary team to deploy autonomous UAV systems, collect multisensory data (audio, visual, and eDNA), and conduct field-based laboratory processing.

This role offers hands-on training and experience with cutting-edge biodiversity assessment technologies at the intersection of fieldwork, laboratory science, and emerging ecological methods.

Key Responsibilities

• Deploy UAV-based systems to collect biodiversity data.

• Conduct on-site eDNA sampling and field lab processing following established protocols.

• Maintain accurate records, including sample tracking, detailed field notes, and procedural documentation.

• Follow molecular and UAV protocols with precision.

• Travel to remote field sites and work under varying environmental conditions.

Essential Qualifications

• Academic background in ecology, biology, engineering, computer science or a related field.

• Exceptional attention to detail and strong ability to follow complex instructions.

• Excellent documentation and record-keeping habits.

• High personal discipline and comfort with focused, repetitive tasks.

• Experience with fieldwork in remote locations.

• Comfort in both lab and field environments.

• Willingness to learn UAV systems and molecular biology protocols (training will be provided).

Preferred Qualifications

• Bachelor's degree in Ecology, Microbiology, Computer Science, Engineering, or related field.

• Experience with laboratory procedures

• Experience with UAVs or drones

• Familiarity with field data collection and biological sample management.

• Background in molecular biology techniques or coursework is a plus.

Training & Support

All required protocols — including UAV deployment, eDNA processing, and sample handling — will be taught. Success in this role depends on innate precision, consistency, and a strong sense of responsibility.

To Apply

Please submit your CV and a short statement (max 250 words) describing your relevant experience and why you are excited about this opportunity.
Deadline: May 30th, 2025
Email: hiring@mapoflife.ai