Platform Fellow

• Work with Platform team members on a defined computational project aligned with Arcadia's research goals
• Independently manage your fellowship work, troubleshooting issues as they arise
• Keep detailed documentation for all workflows, code, and analyses
• Publish results openly and share data, code, and methods by the end of the fellowship

• PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a related quantitative field
• Strong programming skills (Python and/or R required
• familiarity with bash and version control)
• Experience with statistical modeling, machine learning, or phylogenetic methods
• Ability to work independently while collaborating with cross-functional teams
• Strong written and verbal communication skills

• Probabilistic modeling and statistical inference
• Supervised and unsupervised learning for high-dimensional biological data
• Interpretability methods development for ML models
• Phylogenetic inference and evolutionary modeling
• Comparative and evolutionary genomics across species
• Quantitative and population genetics, including human genetics
• Analysis of natural selection, adaptation, and trait evolution
• Statistical and machine learning approaches to quantitative genetics

Travel and relocation support is available for candidates relocating temporarily to the Bay Area