Arcadia Science
evolutionary biology
QuantitativeBiologist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Quantitative Biologist at Arcadia Science. Skills: Quantitative biology, Computational biology, Data analysis, Machine learning. Design software for signal processing. Design software for image analysis”
What You'll Achieve.
Validate existing tools; Shape experiment design; Shape experiment interpretation; Identify potential assets; Build robust analytical infrastructure; Maximize impact of findings; Garner feedback to improve work
Industry & Context.
Identify limits of analytical approaches
What They're Looking For.
Must Have
Ph.D. or equivalent experience, 3+ years scientific experience post-PhD, Python or R proficiency, Biological image analysis software development, Phenotypic biological data analysis, Bench experience generating biological data
Nice to Have
PhD preferred
What You'll Do.
Design software for signal processing
Design software for image analysis
Design software for quantitative interpretation
Develop scalable workflows
Develop scalable pipelines
Apply methods to phenotypic data
Collaborate with biologists to design experiments
Build statistical models
Build machine learning models
Interpret complex biological datasets
Review and improve code
Promote reproducible practices
Promote well-documented practices
Develop shared infrastructure
Synthesize ideas into pubs
Synthesize data into pubs
Synthesize findings into pubs
Engage with scientific community
How You'll Work.
Team & Collaboration
Work with experimental biologists; Collaborate with wet-lab colleague
Communication Scope
Science communication; Draft and publish results
Full Job 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 a Quantitative Biologist to join our Validation team with strong expertise in using computational analyses across modalities and biological scales to extract meaning from complex data, identifying the limits of existing analytical approaches, and developing new ones to address them. In this role, you will work shoulder-to-shoulder with experimental biologists, and bring your own firsthand experience at the bench to inform how data is collected, analyzed, and interpreted. You’ll work with imaging modalities (Raman spectroscopy, coherent Raman imaging, live-cell microscopy, quantitative phase imaging) and a range of other quantitative measurements across diverse organisms. Your contributions will be instrumental in validating existing tools at Arcadia, shaping how we design and interpret experiments, identifying potential assets, and building robust analytical infrastructure that scales across the team. Top candidates are rigorous, collaborative scientists who are equally at home writing computational pipelines and sitting down with a wet-lab colleague to think through a statistical analysis. They have strong intuitions about image data, high expectations for rigorous experimental design, and the communication skills to make quantitative reasoning accessible to scientists with diverse backgrounds. They have hands-on bench e
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