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Scientist Antibody Engineering Jobs (NOW HIRING)

Scientist Antibody Discovery

Memphis, TN · On-site

$86.32 - $154.96/hr

Candidates with experience in antibody discovery, protein engineering OR expression and validation ... Protein Sciences : Develop and optimize high‑throughput mammalian cell‑based production ...

New

$140 - $220/hr

Antibody Engineering and Optimization * Engineer antibodies to improve affinity, specificity, stability, and manufacturability. * Optimize antibodies through advanced molecular designs, such as Fc ...

New

Showing results 21-40

Scientist Antibody Engineering information

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$40.5K

$98.8K

$156.5K

How much do scientist antibody engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for scientist antibody engineering in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a scientist antibody engineering?

A Scientist in Antibody Engineering is responsible for designing, developing, and optimizing antibodies for therapeutic, diagnostic, or research applications. They use principles of molecular biology, protein engineering, and immunology to improve antibody properties like affinity, stability, and specificity. Their work often involves techniques such as phage display, hybridoma generation, or computational modeling. Scientists in this field collaborate with multidisciplinary teams to advance drug discovery and biopharmaceutical development.

What are the typical daily responsibilities of a scientist antibody engineering?

A Scientist Antibody Engineering typically spends their day designing and constructing antibody libraries, performing screening assays, and analyzing data to identify candidates with desired properties. They frequently collaborate with cross-functional teams, including molecular biologists, protein chemists, and bioinformaticians, to advance research goals. Documenting experimental results, presenting findings in team meetings, and staying current with scientific literature are also important parts of the role. The work is both hands-on in the lab and analytical, offering variety and opportunities to contribute directly to the discovery and development of new therapeutics.

What are the key skills and qualifications needed to thrive in the scientist antibody engineering position?

To excel as a Scientist in Antibody Engineering, a strong background in molecular biology, protein engineering, and immunology is essential, typically supported by a PhD or relevant research experience. Familiarity with tools such as phage display platforms, ELISA, flow cytometry, and molecular modeling software is commonly required. Strong problem-solving abilities, teamwork, and effective communication skills help drive collaborative research and innovative solutions. These competencies ensure successful antibody design, optimization, and development in a highly collaborative and fast-moving biotechnology environment.

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What cities are hiring for Scientist Antibody Engineering jobs?

Cities with the most Scientist Antibody Engineering job openings:

What are the most commonly searched types of Scientist Antibody Engineering jobs?

The most popular types of Scientist Antibody Engineering jobs are:

What states have the most Scientist Antibody Engineering jobs?

States with the most job openings for Scientist Antibody Engineering jobs include:

Infographic showing various Scientist Antibody Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Antibody Engineering

Chai Discovery, Inc

San Francisco, CA • On-site

Full-time

Re-posted 9 days ago


Job description

About Chai Discovery
Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach.
AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly, Pfizer, and Novartis are adopting our platform to power their drug discovery programs.
We value diverse perspectives and are ready to find greatness in unexpected places.
About the role
We are looking for exceptional antibody engineers and computational protein designers to help us evaluate, expand and apply the capabilities of our de novo antibody design models. You'll join an elite team of biologists, computational scientists and AI researchers.
Scientists at Chai are power users and test pilots of our AI platform. We probe the design space for novel targets and formats, validate in silico solutions for function in the lab, and distill empirical rules from the results. We execute experimental programs at scale that guide, train and evaluate next generation models, working closely with our AI research team. We partner with scientists from the world's leading pharma companies to push their discovery programs into new territory. I think you could be a good fit.
This is an opportunity to push the boundaries of applied biology and artificial intelligence. You'll get exposed to a wide array of scientific problems and research methods, far beyond what one encounters working on a single drug program or within a traditional life sciences company.
About you
You have a deep desire to push the limits of what's possible in therapeutic design, and a restless drive to solve real-world problems and iterate quickly. You are curious, high-agency and incredibly persistent.
  • PhD or equivalent experience in the field-Antibody Engineering, Computational Biology, Protein Sciences.
  • Hands-on experience with design and characterization of antibody-based biologics. Proficient in molecular-biology workflows, binding and developability assays, inspecting structures in PyMOL or similar tools.
  • Track record of strong communication, collaboration and execution.
We offer
The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.