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Computational Evolutionary Biologist

Arcadia ScienceEmeryville, California, United StatesOnsite

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.Top candidates will have cross-disciplinary backgrounds, extensive training in evolutionary/genetic theory, and strong computational skills. They'll be characterized by their independence, scientific creativity, tenacity, collaborative nature, and ability to draw connections between disparate fields of study. We welcome and encourage candidates with a broad range of expertise to apply. 

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

Compensation:


Successful applicants can expect to be compensated between $150,000-$180,000 with benefits and a highly competitive equity offering, depending on experience level. The position will require the individual to be on-site at our Emeryville, California headquarters.

Application Process:


Interested applicants should send a resume and a one-page cover letter that address their interest and qualifications for the position. When applying, be sure to answer all questions found within the online portal.Arcadia Science is an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work.Please note that an offer of employment from Arcadia is contingent upon the successful clearance of a reference and background check.Apply for this job

Life at Arcadia Science

A new ecosystem for scientific progress.\n\nArcadia Science is pushing the boundaries of open science and innovating at every step in the research, development, and commercialization process.
Thrive Here & What We Value1. Equal opportunity workplace2. Competitive compensation and practical benefits3. Open development environment4. Collaborative work culture5. Sustainability and efficiency focus6. Biology leveraging for real-world solutions7. Transparent communication8. Scientific innovation emphasis9. Values-driven leadership10. Commitment to open science
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