A Bit About Us

We are Arcadia Science. Arcadia is a science company founded and led by scientists. Our mission is to transform evolutionary innovations into real-world solutions by openly developing more efficient, replicable, and sustainable ways to leverage the biology of diverse organisms.

The Opportunity

We're seeking a computational evolutionary biologist. Arcadia is inventing new approaches to study biology that are deeply informed by evolution. With their extensive training in evolutionary theory, the computational evolutionary biologist will work at the forefront of our Platform technologies to independently conduct basic science and develop new methods. This position represents a unique opportunity to leverage evolutionary biology in an applied setting with a focus on real-world solutions. Their work will have a direct impact on many facets of work at Arcadia and will help shape the structure of our scientific efforts. Enthusiasm for, and participation in, open science is required as we routinely share our findings via our open source Pubs and code/data repositories.

Key Responsibilities

• Develop evolutionary methods and theory that expand Arcadia’s scientific and translational opportunities.
• Design and iterate on computational tools in a robust development environment.
• Work collaboratively to integrate evolutionary approaches into diverse multi-disciplinary Platform efforts.
• Regularly publish results and openly share tools.

Education/Experience

• Ph.D. or equivalent in biology with a focus on evolution and computational biology/genomics.
• 2+ years post PhD experience.
• Specialization in or experience with some combination of: mathematical modeling, statistical modeling (predictive and explanatory), method development, simulation, network analysis, phylogenetics, evolutionary genetics, comparative/speciation genomics, comparative phylogenetics, trait evolution, natural selection.
• Fluency in multiple coding programming experience (e.g. R, Python, bash).
• Multiple computational infrastructures such as AWS cloud computing.
• Has a commitment to sharing scientific processes and results openly and in a timely manner.
• Cross-disciplinary collaboration - project and people management experience preferred.