Platform Fellow
Arcadia Science is an evolutionary biology company developing evolution-informed methods, tools, and computational models for therapeutics research and releasing open scientific resources.
Funding history
Investors
About Arcadia Science
Arcadia Science uses iterative computational prediction and experimental validation across target identification, research-organism selection, biologics design, and technology development. It also publishes open-source research tools, protocols, datasets, and applications for scientists.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work on a defined computational project involving machine learning, statistics, and evolutionary biology. You will manage and troubleshoot your fellowship work, maintain documentation for workflows, code, and analyses, and publish results, data, code, and methods openly at the end of the fellowship.
Requirements
- PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a related quantitative field
- Programming skills in Python or R
- Familiarity with Bash and version control
- Experience with statistical modeling, machine learning, or phylogenetic methods
- Ability to work independently and collaborate across functions
- Written and verbal communication skills
Responsibilities
- Work on a defined computational project
- Manage fellowship work independently and troubleshoot issues
- Maintain detailed workflow, code, and analysis documentation
- Publish results, data, code, and methods openly
Benefits
- Travel support for temporary relocation
- Relocation support for temporary relocation
Hiring Process
Submit a resume and answer application questions; in-person interviews; short practical work test; reference and background checks before an offer.