Platform Scientist: Comparative Protein Evolution

Arcadia Science
United States
Workplace: OnsiteFull timeUSD 130,000 - 180,000Function: Research & Scientific (R&D)Education: phdSkills: ["Collaboration","Independent troubleshooting","Verbal and written science communication"]

Develop computational approaches to study how natural protein variation arises across macroevolutionary timescales. Integrate sequence, structure, and function data using phylogenetic comparative methods, selection inference, and ancestral sequence reconstruction on large protein phylogenomic datasets. Use comparative analyses to inform organism and target selection, build and troubleshoot analysis pipelines, and collaborate across disciplines to validate tools and publish open-access findings.

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Arcadia Science
Arcadia Science
1 week ago

Platform Scientist: Comparative Protein Evolution

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Last checked: 6 hours agoStatus: Live

Job Summary

Develop computational approaches to study how natural protein variation arises across macroevolutionary timescales. Integrate sequence, structure, and function data using phylogenetic comparative methods, selection inference, and ancestral sequence reconstruction on large protein phylogenomic datasets. Use comparative analyses to inform organism and target selection, build and troubleshoot analysis pipelines, and collaborate across disciplines to validate tools and publish open-access findings.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

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.
  • •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 and publish open-access findings based on the research results.

Pay and Benefits

Salary: USD 130,000 - 180,000
Perks:Health InsuranceEquity

Key Requirements

  • •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 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.
Experience:Evolutionary biologyComputational biologyProtein evolutionPhylogenomics
Education:PhD / Doctorate in evolutionary biology, molecular biology, computational biology (or related field)
Skills:CollaborationIndependent troubleshootingVerbal and written science communication
Languages:English
Tech Stack:PythonRPhylogenetic comparative methodsAncestral sequence reconstructionSelection inferenceProtein language modelsStructural inference tools

Company Brief

Arcadia Science
Arcadia Science builds and operates advanced biological research platforms and infrastructure to accelerate discovery and translation in biotechnology, offering lab automation, cell-line engineering, and data-driven experimental services for researchers and companies.
Industry: Scientific Research
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