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Protein Structure Prediction Jobs (NOW HIRING)

Chai Discovery, Inc

Research Engineer

San Francisco, CA · On-site

Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a craft-obsessed team ...

UNC-Chapel Hill

Open Rank

Chapel Hill, NC

... protein structure prediction, and high-performance computing for large-scale molecular dynamics simulations. 3. Experience with Bioluminescence Resonance Energy Transfer (BRET) or comparable cell ...

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Protein Structure Prediction information

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How much do protein structure prediction jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for protein structure prediction in the United States is $33.06, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $40.87 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in protein structure prediction roles?

One of the main challenges in protein structure prediction is managing the complexity and variability of protein folding, which often requires the integration of large-scale datasets and advanced computational methods. Professionals must also stay current with rapidly evolving algorithms and software tools, and may need to troubleshoot issues related to limited experimental data or ambiguous sequence information. Collaboration with biologists, chemists, and data scientists is frequent, as teams work together to validate predictions and interpret results for downstream applications such as drug discovery.

What are the key skills and qualifications needed to thrive in protein structure prediction, and why are they important?

To thrive in protein structure prediction, you need a strong background in bioinformatics, molecular biology, and computational modeling, often supported by an advanced degree in a related field. Familiarity with tools such as AlphaFold, Rosetta, PyMOL, and experience with programming languages like Python or R are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for interpreting data and working in interdisciplinary teams. These skills enable accurate modeling of protein structures, which is vital for advancements in drug discovery and understanding biological processes.

What is protein structure prediction?

Protein structure prediction is the process of determining the three-dimensional shape of a protein from its amino acid sequence using computational methods. This is important because a protein’s function is largely determined by its structure, but experimental methods like X-ray crystallography and cryo-EM can be time-consuming and costly. Recent advances in artificial intelligence, such as AlphaFold, have significantly improved the accuracy and accessibility of protein structure prediction, making it an essential tool in biological research and drug discovery.
Infographic showing various Protein Structure Prediction job openings in the United States as of June 2026, with employment types broken down into 17% Full Time, and 83% Part Time. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $68,765 per year, or $33.1 per hour.
Senior AI Protein Engineer

Senior AI Protein Engineer

AllSTEM Connections

Los Angeles, CA • On-site

$112K - $154K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

A well-funded, interdisciplinary medical research institute in Los Angeles is seeking a Senior AI Protein Design Engineer to spearhead a new initiative in de novo therapeutic engineering. This is a foundational role where you will build the computational architecture for next-generation peptide and protein discovery from the ground up.
You will work at the intersection of machine learning and structural biology, translating high-level computational designs into experimental reality through close collaboration with our in-house wet-lab and translational research teams.
Core Responsibilities:
- Pipeline Architecture: Develop and deploy robust computational pipelines for de novo protein and peptide design, utilizing state-of-the-art generative models.
- Lead Optimization: Leverage sequence- and structure-based modeling to predict stability, folding, and binding properties for therapeutic leads.
- Design-Build-Test: Drive iterative cycles by interpreting experimental data from production teams to refine and improve AI model performance.
- Technical Leadership: Shape the technical roadmap for the group's AI capabilities and mentor junior computational scientists.
Required Qualifications:
- Ph.D. in Computational Protein Design, Structural Biology, Bioinformatics, or a related field.
- 5+ years of hands-on experience in macromolecular modeling and sequence/structure prediction.
-Technical Proficiency: Expert-level experience with modern tools such as AlphaFold, RoseTTAFold, RFdiffusion, or ProteinMPNN.
- Collaborative Track Record: Proven ability to work alongside experimental biologists and translate "in silico" results into actionable "in vitro" benchmarks.
- Therapeutic Insight: A strong understanding of protein folding, stability, and the constraints of drug development.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Giampaolo
Branch Phone:
(909) 244-1777
Location:
Ontario, CA

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