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Research Scientist Optimization Jobs in Riverside, CA

About R&D Roles at Danaher Are you driven by curiosity, discovery, and a desire to contribute to ... For over 80 years, we've been advancing and optimizing laboratories to move science and healthcare ...

About R&D Roles at Danaher Are you driven by curiosity, discovery, and a desire to contribute to ... For over 80 years, we've been advancing and optimizing laboratories to move science and healthcare ...

Research Associate

Tustin, CA · On-site

$31 - $38/hr

Research Associate, Analytical Development Kelly ® Science & Clinical is seeking a Research ... Perform laboratory tasks to support the development, optimization, validation, and routine testing ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... LargeScale Training & Optimization - Experience optimizing model architectures, distributed ...

Sr Scientist, Plasma Control

Irvine, CA · On-site

$135K - $155K/yr

... and performance optimization. * Maintain and enhance the capabilities of the RTPCS on C‑2W ... Demonstrated experience in experimental plasma physics and magnetic confinement fusion research.

Sr Scientist, Plasma Control

Irvine, CA · On-site

$140K - $160K/yr

... and performance optimization * Maintain and advance the capabilities of the Real-time Plasma ... Demonstrated experience in experimental plasma physics and magnetic confinement fusion research

Showing results 21-40

Research Scientist Optimization information

See Riverside, CA salary details

$52.7K

$135.7K

$181.5K

How much do research scientist optimization jobs pay per year?

As of Sep 14, 2026, the average yearly pay for research scientist optimization in Riverside, CA is $135,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What does a research scientist in optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

What are the key skills and qualifications needed to thrive as a research scientist in optimization?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What types of projects and collaborations can a research scientist in optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What is the difference between Research Scientist Optimization vs Data Scientist?

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

What job categories do people searching Research Scientist Optimization jobs in Riverside, CA look for?

The top searched job categories for Research Scientist Optimization jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Research Scientist Optimization jobs?

Cities near Riverside, CA with the most Research Scientist Optimization job openings:

Research Associate, Computational Protein Engineering (Contract)

Tustin, CA • On-site

Valid8 Financial, Inc.
Finance and Insurance • 11 - 50 employees

$75K - $85K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Zymo Research is seekinga 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.

Join us in making a meaningful impact!

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.
  • Presentresearch 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 relatedfield.
  • 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.

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 $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
  • 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 – ZymoResearch– 2961 Dow Ave, Tustin, CA, 92780

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