About the job
Department: Data Science
Reports to: Head of Data Science
Location: This position is primarily remote; however, preference will be given to candidates located in or willing to relocate to Austin, TX.
Application period is open until early April, with an expected start date of April 20, 2026.
About Funga
Funga is a public benefit corporation dedicated to leveraging forest fungal networks to combat the climate crisis. We integrate cutting-edge DNA sequencing and machine learning with pioneering research on the forest microbiome to strategically place diverse communities of mycorrhizal fungi. This initiative promotes accelerated wood production, enhances carbon sequestration, and fosters resilient forests. Our mission serves land partners implementing regenerative forestry practices and corporate carbon buyers seeking impactful carbon removal solutions with strong social and ecological benefits. We are a committed team aiming to draw down at least three gigatons of carbon dioxide by 2050.
If you're passionate about innovation, eager to learn continuously, and excited to apply your skills within the private sector, we encourage you to consider joining our mission. Even if you don't meet every requirement, please share why you are excited about Funga!
About the Role
We are on the lookout for a Data Scientist/Statistician to enhance our capacity for analyzing forest productivity and experimental data. In this role, you will collaborate closely with our team to refine our data processing and interpretation capabilities, significantly contributing to Funga’s vision.
We are seeking a pragmatic innovator who excels at transforming complex raw data into actionable insights. This position requires a blend of scientific rigor and a sense of urgency to amplify our impact.
Key Responsibilities:
- Conduct comprehensive statistical analyses on experimental and observational forest data.
- Assess and improve existing experimental designs through power analyses and the application of statistical models for multi-year trials.
- Rapidly prototype and implement models that link forest productivity to soil microbiomes and environmental variables, considering spatial and temporal factors.
- Refine our carbon accounting framework to integrate new field-collected, genomic, and remotely sensed data.
- Create and validate methodologies for evaluating the utility of satellite and drone data in relation to on-the-ground measurements.
- Collaborate with internal teams across Growth, Applied Science, and others to ensure insights are effectively integrated into decision-making.
