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Research Associate Computational Material Science Jobs

$67K - $92K/yr

Strong foundation in computational materials science, computational chemistry, molecular modeling, statistics, scientific computing, and simulation* Experience supporting research, experimentation ...

$180K - $200K/yr

... and material science, driving the next generation of battery technology. * Significant ... leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and ...

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Research Associate Computational Material Science information

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How much do research associate computational material science jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for research associate computational material science in the United States is $32.54, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $37.02 per hour, depending on experience, location, and employer.

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For Research Associate Computational Material Science jobs, the most frequently searched job titles are:

Computational Protein Research Associate (Contract)

Tustin, CA • On-site

Zymo Research
Biotechnology Research and Development • 51 - 200 employees

$75K - $85K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Zymo Research is seeking 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.

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 to cutting‑edge platform technologies in enzymes, antibodies, synthetic biology, and molecular diagnostics.

Essential Duties and Responsibilities
  • 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.
  • Present research findings internally and externally through reports, publications, and scientific conferences.
  • Contribute to intellectual property generation and platform development.
Education and Experience
  • Bachelor’s degree or higher in computational biology, bioinformatics, structural biology, computer science, biophysics, protein engineering, or related field.
  • 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.
  • Ability to work independently while contributing effectively within a multidisciplinary research environment.
Compensation, Benefits, and Perks

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 are based on several factors we believe fairly and accurately reflect the role, 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
  • Generous 401(K) with matching
  • Employee Referral Bonus
  • Complimentary fruit, snacks, and beverages
  • Complimentary catered lunches on Thursdays
  • Complimentary EV Charging
  • 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.

Location

Onsite – Zymo 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.

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