Scientist - Protein Engineering

About the role

In this role, you will:

• Design and implement diverse protein engineering strategies — from rational design and computational modeling to directed evolution and combinatorial library — to build dynamic molecular systems with desirable properties.
• Build and characterize protein variants at high throughput to test and iterate hypotheses rapidly and rigorously: implement and optimize scalable workflows from library generation, expression in various in vitro systems, to standard and custom assays.
• Collaborate with our computational team to establish models linking sequences and structures to function, guide the generation of future constructs, and augment our intuition.
• Explore the mechanisms behind complex biomolecules and translate that understanding into creative, out-of-the-box designs with the support of our biochemists, structural biologists, and computational teams.
• Develop novel screening and validation methods to further accelerate the entire design-build-iterate loop and ensure a smooth transition toward in vivo applications.

Requirements

You might thrive in this role if you:

• Have a PhD in Bioengineering, Biophysics, Biochemistry, or a related field, or have equivalent experience leading research projects end-to-end.
• Are proficient in library construction, protein expression in mammalian cells, and standard characterization.
• Are comfortable using computational approaches for protein engineering and understand the fundamental principles involved.
• Think mechanistically: you are motivated by understanding how things work, not just that they work.
• Enjoy working with dynamic, multi-state proteins and/or complex protein assemblies.
• Feel joy in collaboration and communicate naturally with experts across disciplines.
• Are energized by 0->1 innovations and always on the lookout for creative ways to do better.
• Want to be part of a fast-paced team working on frontier scientific and technical problems.

Qualifications

Nice to have:

• Experience with engineering multi-state proteins, membrane proteins, and multi-component protein assemblies.
• Experience with protein expression in primary neurons, brain organoids, or brain tissues.
• Experience with large-scale screening.
• Experience with creative assay development.
• Familiarity with machine learning or data-driven design approaches.