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Research Scientist Optimization Jobs in Riverside, CA

Simply Biotech

Research Scientist - 22168

Irvine, CA · On-site

$100K - $200K/yr

We are seeking a highly motivated Research Scientist with expertise in immunoassay development and optimization, particularly on automated diagnostic platforms such as Phadia System and/or IMMULITE.

Capgroup

Lead AI Research Scientist

Irvine, CA

$264.59K - $423.35K/yr

... and optimization algorithms to enhance client engagement. You will lead high-impact research initiatives, collaborate with scientists and engineers to explore emerging techniques, and publish ...

Purosil LLC

Polymer Materials Scientist

Corona, CA · On-site

Research and develop new polymer formulations for new product market launches working directly with ... optimizing polymer production processes * Acts as a bridge between our scientists, engineers ...

Viant Technology

Staff Applied Scientist

Irvine, CA

$180K - $220K/yr

By eliminating manual processes in digital ad creation, optimization, and measurement, we build ... Drive High-Impact Research - Conduct advanced research in NLP, RL, LLMs, and deep learning ...

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

Drive High-Impact Research - Conduct advanced research in NLP, RL, LLMs, and deep learning ... Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or ...

Danaher

R&D Internships

Pomona, 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 ...

Fujifilm

Sr. Scientist II

Irvine, CA

$103.09K - $134.20K/yr

Communicate research and development findings in cross-disciplinary team meetings as well as with ... Good Understanding of cell culture, media optimization and development * Broad scientific knowledge ...

Fujifilm

Sr. Scientist II

Irvine, CA

$103.09K - $134.20K/yr

Communicate research and development findings in cross-disciplinary team meetings as well as with ... Good Understanding of cell culture, media optimization and development * Broad scientific knowledge ...

Fujifilm

Sr. Scientist II

Irvine, CA · On-site

$103.09K - $134.20K/yr

Communicate research and development findings in cross-disciplinary team meetings as well as with ... Good Understanding of cell culture, media optimization and development * Broad scientific knowledge ...

TAE

Lead Scientist, Plasma Control

Irvine, CA · On-site

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

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All JobsResearch Scientist Optimization JobsResearch Scientist Optimization Jobs in Riverside, CA

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 May 31, 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 are the key skills and qualifications needed to thrive as a Research Scientist in Optimization, and why are they important?

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 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 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 are popular job titles related to Research Scientist Optimization jobs in Riverside, CA? For Research Scientist Optimization jobs in Riverside, CA, the most frequently searched job titles are:
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 Scientist Optimization jobs near you
Research Scientist - 22168

Research Scientist - 22168

Simply Biotech

Irvine, CA • On-site

$100K - $200K/yr

Full-time

Medical, Dental, Vision

Posted 16 days ago

Job description

Research Scientist - Simply Biotech

OVERVIEW

Are you looking for a new career opportunity with an exciting biotech company?! Then we have got the right team for you! In this role, you are responsible for the duties listed below.


Immediate opening for a Research Scientist in Irvine, CA who possess:

  • Experience developing immunoassays for Phadia or IMMULITE systems
  • Bachelors, Masters, or Ph. D in biochemistry, life science, biology, chemistry or a related field
  • Experience with establishing QC systems, process development, or process improvement


FULL DESCRIPTION: We are seeking a highly motivated Research Scientist with expertise in immunoassay development and optimization, particularly on automated diagnostic platforms such as Phadia System and/or IMMULITE. The ideal candidate will have hands-on experience creating QC systems for, developing, validating, and troubleshooting immunoassays for clinical or research applications, with a strong understanding of assay performance characteristics, reagent development, and analytical methods.


The selected candidate will be responsible for:

  • Design, develop, optimize, and validate immunoassays for automated platforms including Phadia and/or IMMULITE systems.
  • Perform assay feasibility studies, analytical validation, and troubleshooting activities.
  • Develop and optimize assay components including antibodies, antigens, calibrators, controls, and buffers.
  • Analyze experimental data and prepare technical reports, protocols, and validation documentation.
  • Collaborate cross-functionally with R&D, Quality, Regulatory, Manufacturing, and Clinical teams.
  • Support technology transfer and scale-up activities for assay commercialization.
  • Ensure compliance with applicable regulatory and quality standards (e.g., GLP, GMP, CLIA, ISO 13485, FDA guidance).
  • Stay current with advances in immunodiagnostics, biomarkers, and assay technologies.


The selected candidate will also possess:

  • Direct hands-on experience with Phadia and/or IMMULITE assay platforms.
  • Strong knowledge of immunoassay techniques including ELISA, chemiluminescence, fluorescence, or multiplex assays.
  • Experience with assay validation parameters including sensitivity, specificity, precision, linearity, and reproducibility.
  • Proficiency in experimental design, statistical analysis, and scientific documentation.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience in allergy, autoimmune, or infectious disease diagnostics.


Salary Range: $100-200k/year

More information can be found at www.simplybiotech.com

Company Description

Simply Biotech was founded in 2008 and has been repeatedly recognized as one of San Diego County's fastest growing businesses. In 2025, we were named Business Journal's 'Best Places to Work'. Even as our competitors are scaling back and laying off staff, Simply Biotech is expanding to new markets and hiring additional staff in existing offices.