Protein Engineer - Biosensors at Merge Labs | CA, US | Rezi

Protein Engineer - Biosensors at Merge Labs

Protein Engineer - Biosensors

Merge Labs · CA, US

1 weeks ago

Protein Engineer - Biosensors

Merge Labs · CA, US

7 days ago
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About the Role

As a Protein Engineer - Biosensors, you will design, build, and optimize proteins that translate between cells and machines, converting neuronal activity into interpretable imaging signals. Your work will establish the molecular foundation for next-generation brain-computer interfaces.

Responsibilities

  • Design and implement biosensor engineering strategies, including rational and computational design, directed evolution, and combinatorial libraries, to enhance protein-based biosensor performance.
  • Build and characterize protein variants at high throughput to rapidly test and iterate hypotheses, implementing and optimizing scalable workflows from library generation and expression in mammalian cell lines to standard and custom assays.
  • Collaborate with the machine learning team to develop models linking sequences and structures to function, guide future construct generation, and enhance intuition.
  • Explore the mechanisms of complex biomolecules and translate this understanding into creative, innovative designs with support from biochemistry, structural biology, and computational teams.
  • Develop novel screening and validation methods to accelerate the design-build-iterate loop and ensure a smooth transition to in vivo applications.

Requirements

  • PhD in Bioengineering, Biophysics, Biochemistry, or a related field, or equivalent experience leading research projects end-to-end.
  • Experience with biosensors or other proteins with novel functionality.
  • Proficiency in library construction, protein expression in mammalian cells, and standard characterization.
  • Comfort using computational approaches for protein engineering and understanding the fundamental principles involved.
  • Mechanistic thinking and strong biophysical intuition, motivated by understanding how things work.
  • Enjoyment working with dynamic, multi-state proteins and/or complex protein assemblies.
  • Strong collaboration skills and natural communication with experts across disciplines.
  • Energized by 0->1 innovations and seeking creative ways to improve.
  • Desire to be part of a fast-paced team working on frontier scientific and technical problems.

Skills

  • Protein Engineering
  • Biosensor Design
  • High-throughput Experimentation
  • Mammalian Cell Expression
  • Protein Characterization
  • Computational Protein Design
  • Biophysics
  • Machine Learning Collaboration
  • Assay Development
  • Screening Methods

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • PhD or equivalent experience

Education Level

  • PhD

About the Company

  • Merge Labs is a frontier research lab focused on bridging biological and artificial intelligence to enhance human ability, agency, and experience.
  • We are developing novel, high-bandwidth, AI-integrated, safe, and accessible brain-computer interfaces.
  • Our Bio team designs, builds, and characterizes biotechnologies for next-generation brain-computer interfaces, combining molecular engineering, synthetic biology, neuroscience, and advanced physical methods like ultrasound.

Equal Opportunity

  • Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status.
  • It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors.
  • We are an equal opportunity employer.
  • Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  • We are committed to providing reasonable accommodations to applicants with disabilities.