Biodiversity Scientist (Remote, Global Conservation)

Job summary

The Biodiversity Scientist - Data and Analytics plays a crucial role in a global conservation organization, focusing on understanding and demonstrating biodiversity outcomes through data science and monitoring. This position involves synthesizing various data streams into coherent frameworks for conservation planning and decision-making.

Qualifications

• PhD or equivalent advanced degree in biodiversity science or a related field, with 5 years of relevant experience, or equivalent education and experience.
• Proven expertise in biodiversity science, integrating diverse data types such as field observations and advanced sensing data into monitoring frameworks.
• Strong background in quantitative data analysis, ecological modeling, and statistical methods for biodiversity assessment.
• Ability to translate complex scientific work into practical guidance for non-specialist audiences.
• Experience in building collaborative relationships across organizational and geographic boundaries.
• Curiosity about evolving biodiversity technologies, including AI-assisted analysis.
• Record of peer-reviewed publications in relevant scientific journals.

Responsibilities

• Develop and co-create biodiversity monitoring frameworks with regional scientists.
• Curate and integrate biodiversity datasets to support analytical needs.
• Provide training and capacity-building support to regional and field teams.
• Manage complex projects and budgets, including grant applications.
• Collaborate with philanthropy teams for communication and fundraising efforts.

Skills

• Proficiency in R, Python, or other data science platforms.
• Experience with Bayesian statistics, machine learning, and spatial/remote sensing skills.
• Strong data management and reproducible science practices.
• Multi-language skills and cross-cultural experience are a plus.

Education

• Advanced degree in biodiversity science or related field.

Tools

• Familiarity with emerging biodiversity monitoring technologies such as eDNA, acoustic monitoring, and camera trap analysis.