Geochemical Data Science Fellow - Remote

Overview

The Geochemical Data Science Fellow will lead an intensive, one-year analysis of Enhanced Rock Weathering (ERW) field data, collaborating with environmental geochemists to develop analytical frameworks and engage with stakeholders.

In Short

• Full-time fellowship focused on analyzing ERW data.
• Collaboration with environmental geochemists.
• Development of analytical frameworks for data assimilation.
• Statistical analysis of complex datasets.
• Engagement with stakeholders for context and objectives.
• Opportunity for published meta-analyses.
• Requires advanced degree or equivalent experience.
• Proficiency in R or Python for data analysis.
• Experience with environmental geochemistry datasets preferred.
• Full-time or part-time consulting arrangement possible.

Requirements

• 3+ years of experience with large earth science datasets.
• Advanced degree in relevant field or equivalent experience.
• Proficiency in statistical methods and data analysis.
• Fluency in environmental geochemistry.
• Experience managing relational databases.
• Knowledge of statistical paradigms and models.
• Experience with version control platforms like GitHub.
• Experience with (bio)geochemical modeling preferred.
• Strong self-driven learning habits.
• Ability to work under uncertainty and ambiguity.

Benefits

• Opportunity to contribute to climate solutions.
• Work with a passionate team dedicated to environmental impact.
• Access to a strong funding base.
• Possibility for publication of research findings.
• Flexible working arrangements for exceptional candidates.