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Cell Free Protein Synthesis Jobs in Riverside, CA

This is a hands-on laboratory position where the successful candidate will work on the synthesis ... Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy ...

Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy ... Cell phone stipend Equal Employment Opportunity Employer: Stori welcomes candidates of all ...

Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy ... Cell phone stipend Equal Employment Opportunity Employer: Stori welcomes candidates of all ...

Experience with microbial cell culture techniques, including media preparation and culturing. * A ... Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy ...

Cell Free Protein Synthesis information

See Riverside, CA salary details

$13

$22

$31

How much do cell free protein synthesis jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for cell free protein synthesis in Riverside, CA is $22.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $28.32 per hour, depending on experience, location, and employer.

What is a cell free protein synthesis?

A Cell Free Protein Synthesis job involves researching, developing, and optimizing cell-free systems to produce proteins without using living cells. Professionals in this role work with biochemical reactions, molecular biology techniques, and process optimization to enhance protein yield and functionality. They may be involved in applications such as synthetic biology, pharmaceutical development, or industrial production. This role often requires expertise in biochemistry, bioengineering, or molecular biology.

What are the typical daily responsibilities for someone working in cell free protein synthesis?

Professionals working in Cell Free Protein Synthesis typically design and conduct experiments to express and analyze target proteins using cell-free systems. Their daily tasks may include preparing reagents, running synthesis reactions, optimizing reaction conditions, analyzing results using analytical tools, and documenting findings for project teams. They often collaborate closely with fellow scientists, laboratory technicians, and cross-functional research groups to troubleshoot issues and drive innovation. The role may also involve keeping up with the latest methodologies and contributing to process improvements, making it a dynamic position with ongoing learning opportunities.

What are the key skills and qualifications needed to thrive in the cell free protein synthesis position, and why are they important?

To thrive in Cell Free Protein Synthesis, you need a solid background in molecular biology, biochemistry, and hands-on experience with protein expression and purification techniques, often supported by a relevant advanced degree. Familiarity with laboratory automation systems, analytical instruments like HPLC or mass spectrometry, and current industry-standard software is highly beneficial. Strong problem-solving skills, attention to detail, and effective teamwork distinguish top professionals in this field. These competencies are crucial for ensuring precise, efficient experimentation and successful collaboration in research-driven environments.

What job categories do people searching Cell Free Protein Synthesis jobs in Riverside, CA look for?

The top searched job categories for Cell Free Protein Synthesis jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Cell Free Protein Synthesis jobs?

Cities near Riverside, CA with the most Cell Free Protein Synthesis job openings:

Computational Protein Research Associate (Contract)

Tustin, CA โ€ข On-site

Zymo Research
Biotechnology Research and Developmentย โ€ขย 51 - 200 employees

$80 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 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 sequenceโ€“structureโ€“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 cuttingโ€‘edge platform technologies in enzymes, antibodies, synthetic biology, and molecular diagnostics.

Essential Duties and Responsibilities
  • Apply protein language models and other machineโ€‘learning approaches, including model fineโ€‘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 wetโ€‘lab scientists to design experiments, interpret results, and iteratively improve engineered proteins.
  • Contribute to activeโ€‘learningโ€‘driven Designโ€“Buildโ€“Testโ€“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
  • Bachelorโ€™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 machineโ€‘learning or deepโ€‘learning methods to biological sequence, structure, or functional data.
  • Proficiency in Python and commonly used scientific computing and machineโ€‘learning libraries.
  • Experience with protein language models, structureโ€‘based modeling, or molecular simulation is highly desirable.
  • Strong analytical, problemโ€‘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 jobโ€‘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 โ€“ Zymo Research โ€“ 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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