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Computational Structural Biology Jobs (NOW HIRING)

You have a PhD in computational biology, biophysics, structural biology, molecular biology, or a related biological field with 3+ years of post-doctoral or industry research experience * You have ...

You have a PhD in computational biology, biophysics, structural biology, molecular biology, or a related biological field with 3+ years of post-doctoral or industry research experience * You have ...

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Computational Structural Biology information

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How much do computational structural biology jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for computational structural biology in the United States is $41.13, according to ZipRecruiter salary data. Most workers in this role earn between $30.05 and $48.56 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in computational structural biology when collaborating with experimental scientists?

One common challenge is effectively communicating complex computational findings to experimental colleagues who may not be familiar with certain modeling techniques. Additionally, aligning computational predictions with experimental data can require iterative discussions to ensure that models are biologically relevant and experimentally testable. Successful collaboration often relies on building mutual understanding of each team's methodologies and limitations, which fosters productive interdisciplinary research.

What are the key skills and qualifications needed to thrive as a Computational Structural Biologist, and why are they important?

To thrive as a Computational Structural Biologist, you need a solid background in structural biology, molecular modeling, and bioinformatics, typically supported by a PhD or relevant advanced degree. Proficiency in programming languages (such as Python or R), molecular visualization tools (like PyMOL or Chimera), and experience with structural databases are commonly required. Strong analytical thinking, collaboration, and communication skills help you interpret complex data and work effectively within multidisciplinary teams. These competencies are crucial for advancing scientific understanding and developing novel therapeutics in the field of structural biology.

What is computational structural biology?

Computational structural biology is a field that uses computer-based methods and simulations to study the three-dimensional structures of biological molecules, such as proteins and nucleic acids. Researchers use computational tools to predict molecular structures, analyze their dynamics, and understand how they interact with other biomolecules. This approach complements experimental techniques like X-ray crystallography and cryo-electron microscopy, helping scientists gain insights into biological function and design drugs or therapies. The field integrates knowledge from biology, chemistry, physics, and computer science.
More about Computational Structural Biology jobs
What are the most commonly searched types of Computational Structural Biology jobs? The most popular types of Computational Structural Biology jobs are:
What states have the most Computational Structural Biology jobs? States with the most job openings for Computational Structural Biology jobs include:
Computational Protein Research Associate (Contract)

Computational Protein Research Associate (Contract)

Zymo Research Corporation

Tustin, CA โ€ข On-site

$75K - $85K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Summary:

ย 

Zymo Research is seekingย a highly motivated and innovative Computational Protein Research Associate to join our multidisciplinary research team focused on protein engineering, enzyme discovery, antibody design, and AI-driven molecular modeling.ย 

The successful candidate will work at the intersection of computational biology, machine learning, structural biology, and protein engineering. Key responsibilities will include developing scalable protein sequence-structure-function analysis platforms, building predictive AI/ML models, and identifying or designing proteins with desired biological properties. This role offers the opportunity to contribute toย cutting-edgeย platform technologies in enzymes, antibodies, synthetic biology, and molecular diagnostics.ย 

Join us in making a meaningful impact!ย 

Essential Duties and Responsibilities

ย 

  • Apply protein language models and other machine-learning approaches, including model fine-tuning, to analyze protein sequences, predict molecular properties, and annotate protein functions.
  • Use structural modeling and simulation tools, including AlphaFold 3, Rosetta, and molecular dynamics simulations, to investigate protein structures, conformational stability, molecular interactions, and functional mechanisms.
  • Apply AI/ML methods to de novo protein design, protein optimization, enzyme engineering, antibody design, and functional prediction.
  • Perform computational screening and prioritization of candidate proteins for experimental validation.
  • Collaborate closely with wet-lab scientists to design experiments, interpret results, and iteratively improve engineered proteins.
  • Contribute to active-learning-driven Design-Build-Test-Learn cycles for protein engineering and optimization.
  • Presentย research findings internally and externally through reports, publications, and scientific conferences.
  • Contribute to intellectual property generation and platform development.

Education and Experience:

ย 

  • Bachelor's degree or higher in computational biology, bioinformatics, structural biology, computer science, biophysics, protein engineering, or relatedย field.ย 
  • Strong foundation in computational protein science, or structural biology.
  • Experience applying machine-learning or deep-learning methods to biological sequence, structure, or functional data.
  • Proficiency in Python and commonly used scientific computing and machine-learning libraries.
  • Experience with protein language models, structure-based modeling, or molecular simulation is highly desirable.
  • Strong analytical, problem-solving, and communication skills.ย 
  • Ability to work independently while contributing effectively within a multidisciplinary research environment.


About Us:

ย 

Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high-quality research tools and products. Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy remains the same: To provide the highest quality products in the industry while ensuring they are both simple to use and reliable in their performance.

Recognized as a Top Workplace by the Orange County Register in 2021, 2022, and named a Top Workplace USA in 2023, Zymo Research continues to be a vibrant community where employees thrive, feel connected, and are inspired by their work. If you are passionate about contributing to scientific advancement and want to be part of an exceptional team in a dynamic, growing company, we'd love to hear from you!

ย 

Compensation, Benefits, and Perks: ย ย ย ย ย ย ย ย ย ย ย ย ย ย  ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  ย 

The estimated base compensation range for this position is $75,000-85,000 at the time of posting. Actual compensation details will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors.

Zymo Research also offers competitive benefits and perks including:

  • Medical, Dental, Vision, and Life Insurance Coverages
  • EAP Sessions
  • Vacation Time plus Company Holidays
  • Paid Sick Leave
  • Generous 401(K) with matchingย 
  • Employee Referral Bonus
  • Complimentary fruit, snacks, and beverages
  • Complimentary catered lunches on Thursdaysย 
  • Complimentary EV Chargingย 
  • Cell phone stipend


Equal Employment Opportunity Employer:

Zymo Research welcomes candidates of all backgrounds. These include sex, age, color, race, religion, marital status, national origin, ancestry, sexual orientation, gender, gender identity, gender expression, physical & mental disability, medical condition, genetic information, military and veteran status, or any other protected status as defined by federal, state, or local law.

ย 

Location:

Onsite - Zymoย Research- 2961 Dow Ave, Tustin, CA, 92780

Disclaimer: At Zymo, we take the integrity of our hiring process seriously. Please be aware of fraudulent recruitment activities that may use our name to deceive job seekers. We will never ask for payment, sensitive personal information, or financial details during the recruitment process.

All legitimate communications will come from an official Zymo or TriNet Hiring email address. If you are contacted by anyone claiming to represent us using a free email service (e.g., Gmail, Yahoo, Hotmail) or asking for payment, please treat this as fraudulent and report it immediately to jobs@zymoresearch.com