Evolutionary Cell Biology Fellow
Arcadia Science
| Company | Arcadia Science |
| Category | Science & Research |
| Location | Emeryville |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Entry |
| Salary | Not stated by the employer |
| Posted | 26 Jul 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
A Bit About Us
We are Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and make our work broadly useful.
The Opportunity
We’re closing the gap between biological data and biological understanding. Our Validation team does this by closing the design–build–test–learn loop through lab validation across diverse organisms. Read more about our work through our publications .
We are seeking an Evolutionary Cell Biology Fellow to join our Validation team for a 3-month fellowship. This is an ideal opportunity for scientists in the final stages of their PhD or postdoc training who want to experience industry research in an open science environment working with diverse organisms, or for researchers excited to apply cell biology techniques across the tree of life.
Evolutionary Cell Biology Fellows will generate phenotypic and genotypic data to compare cellular features across organisms. Because we use evolution to select the best organism to study each biological question, fellows will work with diverse, often non-traditional organisms and cell types. Fellows will contribute to a defined project with the goal of publishing their work openly by the end of the fellowship.
Areas of Focus
We are looking for candidates with expertise in one or more of the following areas:
Cell-based or organism-based assay development and optimization
Live cell imaging, high-content screening, or other high-dimensional phenotyping approaches
Diverse cellular organism and system development and/or utilization (including non-model organisms)
Molecular biology techniques (cloning, transformation, PCR, genetic manipulation, protein detection)
Protocol development and adaptation for new organisms or cell types
Comparative analysis between species driven by evolutionary information
Quantitative approaches to phenotypic measurement
What You'll Do
Develop, adapt, and optimize experimental workflows for gathering phenotypic data across diverse cellular and organismal systems
Validate platform tools and test predictions using cell-based or organism-based assays
Troubleshoot experimental challenges independently and creatively
Collaborate with cross-disciplinary teams to contribute to shared research goals
Keep detailed experimental records and standard operating procedures (SOPs)
Publish results openly by the end of the fellowship
Qualifications
PhD in Cell Biology, Molecular Biology, Biochemistry, or a related field
Demonstrated hands-on expertise in cell or organism-based assay development
Proficiency with core cell biology tools and techniques
Comfort with core molecular biology tools and techniques
Comfort working with diverse cellular organisms and systems
Familiarity with data analysis using Python or R is preferred
Strong written and verbal communication skills
Compensation
$8,000 - $12,000 per month
Fellows will receive a competitive monthly stipend. Travel and relocation support is available for candidates relocating temporarily to the Bay Area.
What We Look For
The first thing we look for is technical talent at the leading edge of a field. To us, this means independent and generative scientists doing basic research that has the potential to produce evidence challenging standard practices. This is true for all of our roles: whether someone is an individual contributor or a people manager, we want researchers pushing their field forward.
We're looking for hands-on, inventive scientists with deep experience in cell biology and a strong interest in using biological diversity as a tool for discovery. The ideal candidate is energized by exploring new biolog