Postdoctoral Scientist in Computational Protein Science
Job Summary:
We are seeking a highly motivated and innovative Postdoctoral Scientist in Computational Protein Science to join our multidisciplinary research team focused on next-generation protein engineering, enzyme discovery, antibody design, and AI-driven modeling.
The successful candidate will work at the intersection of computational biology, machine learning, structural bioinformatics, and protein engineering to build large-scale protein sequence-structure-function datasets, develop predictive AI/ML models, and mine novel proteins with targeted biological functions. This role offers the opportunity to contribute to cutting-edge platform technologies in enzymes, antibodies, synthetic biology, and molecular diagnostics.
Join us in making a meaningful impact!
Essential Duties and Responsibilities
- Build, curate, and analyze large-scale protein sequence, structure, and functional datasets from public and proprietary sources.
- Develop pipelines for protein annotation, clustering, alignment, and functional prediction.
- Apply structural modeling tools including AlphaFold, Rosetta, molecular docking, and molecular dynamics simulations.
- Predict and analyze protein folding, binding interfaces, and structure-function relationships.
- Perform computational screening and prioritization of candidate proteins for experimental validation.
- Collaborate with wet-lab scientists to design and validate engineered proteins and biological systems.
- Apply AI/ML methods for protein de novo design, protein optimization, and function prediction.
- Present research findings internally and externally through reports, publications, and scientific conferences.
- Contribute to intellectual property generation, platform development, and scientific publications.
Education and Experience:
- Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Computer Science, Biophysics, Protein Engineering, or related field.
- Strong background in protein bioinformatics and computational biology.
- Experience with machine learning/deep learning applied to biological data.
- Proficiency in Python and scientific computing libraries.
- Experience with protein databases and bioinformatics tools.
- Familiarity with structural biology and protein modeling methods.
- Strong analytical, problem-solving, and communication skills.
About Us:
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!
Compensation, Benefits, and Perks:
The estimated base compensation range for this position is $85,000 to $100,000 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 matching
- Employee Referral Bonus
- Complimentary fruit, snacks, and beverages
- Complimentary catered lunches on Thursdays
- Complimentary EV Charging
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 Tustin, CA
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