Lead Biodiversity Scientist

About EarthAcre

EarthAcre’s mission is to mitigate climate change and biodiversity collapse with community knowledge and technology. We fully recognize that indigenous and local communities are the key to protecting nature and healthy ecosystems— 80% of the planet’s biodiversity is on indigenous lands. EarthAcre deploys cutting edge technologies to enable such communities to quantify, measure, and monetize their natural assets as they safeguard and restore them.

EarthAcre’s goal is to scale into indigenous and local community ecosystems across the globe, ensuring that communities’ knowledge, biodiversity protection and carbon removal are viewed as competitive advantages in an age of climate change and biodiversity collapse. EarthAcre works closely with the Harvard University Davies Lab, which uses high-resolution remote sensing to understand how animals influence ecosystem structure and function, including carbon and nutrient cycling, at landscape scales. Our investors include Terra Labs, a platform from Okavango Capital Partners that is accelerating innovation in Payment for Ecosystems Services (PES), and Enza Capital, which invests in companies using technology to solve large and meaningful problems across Africa.

Who are we looking for?

• Driven, self-motivated person who aligns with EarthAcre’s mission

   

  Able to work remotely and travel to field sites as needed (our pilot sites are in Kenya for now and currently we visit once a year)

   

  Effective written and spoken communicator

   

  Experience using remote sensing data sets. Preference for experience using latest satellite data sets 

   

  Experience with applying ML models to remote sensing and ground observation data sets

   

  Experience in field ecology a big plus

   

  Experience with existing biodiversity methodologies a big plus

   

What will you be doing?

• Driving internal methodology development

   

  Driving the development of EarthAcre’s biodiversity product

   

  Creating and improving the ML models used to estimate biodiversity 

   

  Improving data collection efficiency

   

  Creating local capacity by training others in data collection practices 

   

  Optimizing data analysis methods that are used in deriving biodiversity reporting

   

  Data Analysis, Data Engineering, and ML Engineering may also be required from time to time

   

  Report to the CTO (Yasha Portnoy) and work with EarthAcre Chief Scientist Professor Andrew Davies to derive biodiversity reporting based on existing, peer reviewed science.

   

What do we offer?

• Flexible Work Schedule - We are a group of working adults across various time zones. We work hard to achieve our mission but trust each other to pick our own schedules

   

  Autonomy and Leadership: as an early stage startup, you will work closely with senior management and will have many opportunities to lead in vision, roadmap, delivery, etc

   

  Yearly professional development budget of $600/year that you can choose to spend on classes, conferences, certifications, books, etc

   

  An equity package

   

  Salary: Base salary estimated range between $70,000-$110,000, depending on the level of experience with an expectation of a ramp as the company grows

   

  Vacation: Unlimited PTO

   

  A trip to Kenya’s wildlife conservancies with an award winning eco-camp operator to visit EarthAcre pilot sites