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Platform Scientist: Comparative Protein Evolution

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

Arcadia is studying biology with evolution as our guide. Our tools, methods, and frameworks probe the tree of life to identify innovations, novelties, and organisms that accelerate our basic and translational research. We're seeking a scientist with deep experience in studying the evolution of natural protein variation using comparative approaches to substantially expand our platform.


The Platform Scientist will develop computational approaches to study how natural protein variation arises and is shaped over macroevolutionary timescales, integrating sequence, structure, and function to ask how, and why, proteins differ across the tree of life. These contributions will be instrumental in developing new computational tools, validating existing tools, testing novel hypotheses, identifying knowledge and dataset gaps, and driving the creation of new computational approaches for studying protein evolution at Arcadia. We're particularly interested in candidates whose background sits at the intersection of molecular evolution and biochemistry/biophysics/structural biology.


Top candidates are inventive computational evolutionary biologists with deep experience addressing evolutionary questions related to protein characteristics to unlock novel insights. They're excited to explore new and challenging datasets, familiar with developing novel analysis pipelines, and thrive in collaborative, open research environments. Enthusiasm and participation in open science are also required as we routinely share our findings via our open-source pubs.

Key Responsibilities

  • Produce and analyze computational workflows to interrogate and integrate protein information across non-model clades.

  • Apply phylogenetic comparative methods, ancestral sequence reconstruction, or selection inference to large phylogenomic protein datasets across non-model lineages.

  • Use comparative analyses of natural protein variation to inform Arcadia's organism and target selection capabilities.

  • Troubleshoot computational challenges independently and creatively.

  • Collaborate with cross-disciplinary teams to validate computational tools, contribute to shared research goals, and accelerate broader scientific efforts.

  • Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work.

Qualifications

  • PhD or equivalent experience in evolutionary biology, molecular biology, computational biology, or a related field.

  • At least one year of full-time relevant scientific experience post-PhD.

  • Demonstrated expertise in developing and applying computational approaches to study protein evolution using sequences, structures, and functional data.

  • Demonstrated expertise in molecular evolution methods, including phylogenetic comparative methods, selection inference, ancestral sequence reconstruction, or coevolutionary analysis.

  • Familiarity with data analysis using tools like Python or R.

  • Familiarity with biophysical or structural-biology approaches to studying protein constraint and divergence is a strong plus.

  • Experience using protein language models or structural inference tools to study natural protein variation is a plus.

  • Ability to align with the team to achieve organization-wide goals and organize effective collaborations.

  • Excellent verbal and written science communication for both general and technical audiences.

Compensation

Successful applicants can expect to be compensated between $130,000-$180,000 with benefits and a competitive equity offering, depending on experience level. The position will require the individual to be on-site at our Emeryville, California headquarters.

Application Process

Please submit a resume and fully answer all application questions addressing your interest in and qualifications for the position. The review process will involve in-person interviews and a short, practical work test. Employment offers are contingent on reference and background checks.

Arcadia 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.

What this application asks

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First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • Preferred First Name optional
  • Preferred Pronouns choose any · optional
  • LinkedIn Profile optional
  • How many years have you worked full-time after the completion of your PhD? choose one
  • Please describe a result (your own, or from the work of others) that fundamentally changed your thinking about evolution. (Max 300 words) written answer · optional
  • What do you think is the most underexplored opportunity at the intersection of ML/statistics and evolutionary biology? (Max 300 words) written answer · optional
  • What do you think is the next great leap forward for evolutionary biology as a field? (Max 300 words) written answer · optional
  • Open science and scholarly engagement are central to our work at Arcadia. Please visit https://thestacks.org/?search=tag:Feedback%20requested, choose any Arcadia pub that interests you, and publicly leave a substantive comment or question on the work. After commenting, please share the URL of the pub you commented on. written answer
  • Optionally, please share a brief note about why you chose that particular pub. written answer · optional
  • Tell us about any of your activities or your experience with open science practices. This could include providing public feedback on preprints, sharing datasets or code in public repositories, contributing to open-source projects, advocating for open science, or other related activities. Max 250 words. written answer
  • Give an example of the most unique or surprising way AI has changed the way you work written answer
  • This role is onsite in Emeryville, CA. Would you be excited to work in person with our team? choose one
  • Are you currently eligible to work in the United States of America? choose one
  • Will you now or in the future require visa sponsorship to continue working in the United States (e.g., H-1B visa status)? choose one
  • If yes, please explain the basis of your employment authorization. optional
  • How did you hear about this job? optional

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