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Entry Level Protein Engineering Scientist Jobs (NOW HIRING)

Manifold Bio

Scientist, cDNA Display

Boston, MA

$118K - $138K/yr

Our team of protein engineers, biologists, and computational scientists works across this full stack to pursue programs both internally and with leading pharma companies. Position Manifold Bio is ...

Atum - DNA 2.0

Customer Success Scientist

Newark, CA · On-site

ATUM is a leader in cell line development, gene synthesis, and protein engineering. We are seeking a highly motivated, Customer Success Scientist to join our team. Job Summary: As a Customer Success ...

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ATUM

Customer Success Scientist

Newark, CA · On-site

$110K - $140K/yr

ATUM is a leader in cell line development, gene synthesis, and protein engineering. We are seeking a highly motivated, Customer Success Scientist to join our team. Job Summary: As a Customer Success ...

New

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Entry Level Protein Engineering Scientist information

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$40.5K

$98.8K

$156.5K

How much do entry level protein engineering scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level protein engineering scientist 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 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.
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Entry Level Protein Engineering Scientist jobs near you
Infographic showing various Entry Level Protein Engineering Scientist 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 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Scientist, Computational Protein Design

Adimab

Mountain View, CA • On-site

$156K - $165K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago

Job description

Role: Scientist, Computational Protein Design
Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an internal product pipeline. Since 2009, we have partnered with over 140 pharmaceutical and biotechnology companies, generating more than 650 therapeutic programs, of which more than 85 have entered clinical trials.
Role Overview
The role is on Adimab's computational biology team in Mountain View, CA. Data-driven approaches have been central to the development of the Adimab platform, and the team is actively utilizing and developing modern de novo protein design and generative AI methods to extend its capabilities. You will serve as the computational lead for protein design campaigns, embedded within a world-class team of modeling and wet-bench scientists, with direct access to Adimab's industry-leading experimental capabilities to drive the design-build-test cycle.
Responsibilities
  • Take end-to-end ownership of computational protein design campaigns - from design generation through wet-lab collaboration, analysis of experimental data, and optimization of the design-build-test cycle. Applications span de novo epitope-targeted IgG, VHH, and minibinder design, as well as protein solubilization and stabilization.
  • Partner with wet-lab teams to design experiments that generate custom training data for affinity, epitope, and specificity prediction models. Train and rigorously benchmark resulting models against internal and external baselines.
  • Build and maintain the computational infrastructure supporting both protein design campaigns and model development, including reproducible pipelines and integration of computational outputs with wet-lab data.
  • Track developments in computational protein design and ML; evaluate relevance to Adimab's platform and identify opportunities for integration.
  • Serve as a resource for wet-lab scientists on AI/ML capabilities and best practices, helping antibody and protein engineering teams apply computational design methods.

Needed Upon Hire
  • PhD in Biophysics, Biochemistry, Structural Biology, Computational Biology, or a related field.
  • 2-4 years of post-PhD experience specifically in computational protein or binder design.
  • Strong foundation in the analysis of structural and energetic factors driving protein-protein interactions.
  • Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft, and Protenix. Crystallography or cryo-EM experience is a plus.
  • Strong Python skills and experience building reproducible analysis and modeling pipelines.
  • Proven track record of publication or patent contribution in applied ML for proteins or computational design.
Pay Range: $156,800 - $165,760 base salary and eligibility for 15% bonus
Come join us!
Our integrated antibody discovery and engineering platform provides unprecedented speed from antigen to purified, full-length human IgGs with exquisite specificity and biophysical behavior. We offer fundamental advantages by delivering diverse panels of antibodies that meet the most demanding standards for affinity, epitope specificity, species cross-reactivity, and developability. We enable our partners to rapidly expand their biologics pipelines through a broad spectrum of technology access arrangements.
As a profitable privately-held biotech company, we take a long-term view on value creation and make substantial investments in technology development, research, and our people. We offer individually tailored compensation packages comprised of a competitive salary, meaningful equity, a 2:1 401(k) match, and comprehensive health care benefits.

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