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Entry Level Protein Engineering Scientist Jobs in California

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Entry Level Protein Engineering Scientist information

What does an entry level protein engineering scientist do?

An Entry Level Protein Engineering Scientist assists in the design, modification, and analysis of proteins to improve their properties for specific applications, such as drug development or industrial processes. They typically work in laboratories, conducting experiments, analyzing data, and collaborating with senior scientists to optimize protein function. Responsibilities may include molecular cloning, protein expression and purification, and using computational tools for protein modeling. This role often serves as a starting point for a career in biotechnology or pharmaceutical research, providing hands-on experience with advanced laboratory techniques and scientific problem-solving.

What are the key skills and qualifications needed to thrive as an entry level protein engineering scientist?

To thrive as an Entry Level Protein Engineering Scientist, you need a solid background in molecular biology, biochemistry, and protein engineering, typically supported by a relevant bachelor’s or master’s degree. Proficiency in laboratory techniques such as PCR, mutagenesis, chromatography, and familiarity with bioinformatics tools and software like PyMOL or BLAST is important. Attention to detail, strong analytical thinking, and effective teamwork enable you to excel in experimental design and data interpretation. These skills are crucial for advancing research goals, ensuring accurate results, and contributing to collaborative scientific projects.

What are some typical challenges faced by entry level protein engineering scientists when starting in the field?

Entry-level protein engineering scientists often encounter challenges such as adapting to complex laboratory protocols, mastering advanced analytical techniques, and interpreting experimental data accurately. Collaborating effectively within multidisciplinary teams and efficiently documenting research findings are also common hurdles. However, these challenges present valuable learning opportunities and, with mentorship and regular feedback, new scientists quickly build confidence and expertise.

What are the most commonly searched types of Protein Engineering Scientist jobs in California?

The most popular types of Protein Engineering Scientist jobs in California are:

What are popular job titles related to Entry Level Protein Engineering Scientist jobs in California?

For Entry Level Protein Engineering Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Protein Engineering Scientist jobs in California look for?

The top searched job categories for Entry Level Protein Engineering Scientist jobs in California are:

What cities in California are hiring for Entry Level Protein Engineering Scientist jobs?

Cities in California with the most Entry Level Protein Engineering Scientist job openings:

Entry Level Protein Engineering Scientist jobs near you
Infographic showing various Entry Level Protein Engineering Scientist job openings in California as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Scientist - Protein Engineering

Merge Labs

San Francisco, CA • On-site

$120K - $215K/yr

Full-time

Re-posted 26 days ago

Job description

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.
About the team:
Our Bio team designs, builds, and characterizes the biotechnologies that form the foundation of next-generation brain-computer interfaces. We combine molecular engineering, synthetic biology, neuroscience, and advanced physical methods such as ultrasound to establish less invasive, high-bandwidth connections with neurons. The Bio team develops our core molecular technologies, validates their performance in vitro and in vivo, and demonstrates their advanced capabilities in animal models. We build custom experimental setups and pipelines and collaborate closely with engineers and data scientists. We work across disciplines to come up with creative ideas and solve some of the most challenging problems in biotechnology.
About the role
As a Protein Engineer in a BCI company, you will design, build, and optimize the key biomolecules that translate between the languages of cells and machines - turning neuronal activity at the molecular scale into interpretable signals and enabling precise modulation.
You'll work with unconventional proteins - from atypical biosensors and membrane proteins to complex, multi-component assemblies - and use your biophysical insights, high-throughput experimental methods, and close collaboration with our computational team to push the boundaries of what these molecules can do. Your work will set the molecular foundation for next-generation brain-computer interfaces.
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 designswith 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.

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.

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.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
For more information about hiring at Merge, please visit our Hiring FAQ
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, and requests can be made by emailing accommodations@merge.io.

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