Arcadia Science
Arcadia Science

Protein Designer

$130,000 – $180,000 per year

TLDR

Work cross-functionally within the Validation team to independently plan and validate innovative protein design tools in both in vitro and in vivo contexts.

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 Protein Designer to join our Validation team. In this role, the Protein Designer will work cross-functionally to run experimental loops aimed at validating our novel protein design tools. The scientist in this role will work to independently plan protein design projects, apply our tools and their ideas to generate proteins, and evaluate the biological function of the proteins they design both in vitro and in vivo

Our ideal candidate should have deep knowledge of proteins and how they function in a cellular context, as well as hands-on experience related to running design–build–test–learn loops. They are energized by evaluating novel biology, skilled at troubleshooting, and thrive in collaborative and open research environments. Enthusiasm and participation in open science is also required as we routinely share our findings via our open-source pubs.

Key Responsibilities:
  • Independently design, plan, and execute projects related to protein design

  • Coordinate and drive design-build-test-learn loops to evaluate protein design tools

  • Experimentally validate novel proteins in the lab (in vitro or in a cellular context)

  • Collaborate cross-functionally with computational and experimental scientists

  • Contribute to the development and improvement of analyses, tools, and methodologies related to protein design and the evaluation of novel proteins

  • 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 biochemistry, biophysics, bioengineering, or related field

  • At least 3 years post-PhD or equivalent experience in a related position

  • Deep understanding of protein function in the cell, biology, and structure and how these might be useful for protein design

  • Experience with validation, design-build-test-learn loops, or something similar

  • Familiarity with SOTA protein analysis and design tools (e.g., ESM, Rosetta, etc.)

  • Experience with protein biology, biochemistry, or cell biology to inform protein expression and purification, assay development, experimental design, etc.

  • Experience in at least one programming language and experience with relevant libraries

  • High level of autonomy and critical thinking skills

  • Written and oral communication skills and a willingness to share research openly, early, and often

  • Experience working with cross-functional teams with different working styles and types of expertise

  • Application Process: 

    Interested applicants should apply using the link below.

    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. 

    Please note that an offer of employment at Arcadia is contingent upon the successful clearance of a reference and background check.

    Arcadia Science is an evolutionary biology company that harnesses natural innovations to create practical solutions in therapeutics R&D. By utilizing systematic and quantitative methods, we aim to bridge the gap between scientific discovery and real-world applications. Our commitment to open research facilitates collaboration and accelerates advancements within the scientific community.

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