Phylogeny-Driven ML Platform Fellow

Arcadia Science LLC; Emeryville (CA); On-site; USD 45,000 - 71,000; Part time

Benefits offered by this job

Travel support

Relocation assistance

Job summary

Arcadia Science LLC in Emeryville, CA invites a Platform Fellow to join the Platform team for a 3-month fellowship. Platform uses phylogeny to guide ML models and statistical tools, powering research across Arcadia.

You will work on a defined project, publish results openly by the end of the fellowship, document workflows, and collaborate with cross-functional teams while advancing evolutionary biology. This onsite role is ideal for scientists who recently completed their PhDs and are ready to

Qualifications

• PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a related quantitative field.
• Strong programming skills (Python and/or R); 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.

Responsibilities

• 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.

Skills

Python

R

Bash

Version control

Education

PhD in computational biology, statistics, ML, genetics, evolutionary biology, or related field

Job description

Arcadia Science LLC in Emeryville, CA invites a Platform Fellow to join the Platform team for a 3-month fellowship. Platform uses phylogeny to guide ML models and statistical tools, powering research across Arcadia.

You will work on a defined project, publish results openly by the end of the fellowship, document workflows, and collaborate with cross-functional teams while advancing evolutionary biology. This onsite role is ideal for scientists who recently completed their PhDs and are ready to