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Research Scientist Optimization Jobs in California

DatologyAI is a company focused on optimizing training data for deep learning models. They are seeking a Research Scientist to investigate how interventions on training data can enhance model quality ...

What You'll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

What You'll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

What You'll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

About The Role As a Research Scientist at Phonic, you'll drive original research that pushes the ... Fluency in the math, probability, optimization, linear algebra, and the ability to reason about ...

Research Scientist

San Francisco, CA · On-site

$120 - $160/hr

About The Role As a Research Scientist at Phonic, you'll drive original research that pushes the ... Fluency in the math, probability, optimization, linear algebra, and the ability to reason about ...

Research Scientist Turn Innovation into Products That Labs Depend On Why This Role Matters The next ... Design and execute experimental workflows for the discovery, optimization, and validation of new ...

Research Scientist

San Francisco, CA · On-site

$200K - $325K/yr

Contribute to Hedra's research culture and external scientific reputation Qualifications: * PhD in ... Experience with RLHF, DPO, or preference optimization for model alignment is a plus * Strong ...

We're looking for research scientists who want to scale simple methods across the largest datasets ... Optimization theory We care much more about what you can do than any specific credential. We're ...

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Research Scientist Optimization information

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 California look for?

The top searched job categories for Research Scientist Optimization jobs in California are:

What cities in California are hiring for Research Scientist Optimization jobs?

Cities in California with the most Research Scientist Optimization job openings:

Infographic showing various Research Scientist Optimization job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Research Scientist II

Sdsu Research Foundation

San Diego, CA • On-site

$90 - $120/hr

Other

Posted 3 days ago

New


San Diego State University rating

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Company rating: 7.2 out of 10

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Job description

Overview

Under minimal or general guidance from the principal investigator, the Research Scientist classification is intended to provide a career path for experienced researchers who have attained a doctoral or equivalent degree. The Research Scientist will have experience sufficient to enable the employee to conduct all manner of research such as independently conducting complex scientific research or scholarship. Research scientists are expected to work independently, generate grant funding for projects and publish research results. The Research Scientist may be a principal investigator on grants if he/she holds an SDSU adjunct faculty appointment and meets any additional requirements of his/her academic department.


Responsibilities

Please list 5 or more job responsibilities here (95%)




  • 1. Conduct Independent Research in Photocatalytic Organic Synthesis – 40%Design, develop, and execute research projects focused on photocatalytic and photoredox organic transformations, including reaction discovery, catalyst development, reaction optimization, substrate-scope evaluation, and synthesis of novel organic compounds.


    2. Mechanistic Studies and Reaction Characterization – 20%Investigate reaction mechanisms using kinetic studies, isotope-labeling experiments, kinetic isotope effects (KIE), radical trapping, light on/off studies, quenching experiments, electrochemical measurements, and spectroscopic characterization.


    3. Organic Synthesis and Compound Characterization – 20%Synthesize and purify starting materials, catalysts, intermediates, and target compounds using modern organic synthetic methods. Characterize compounds and reaction products using NMR, GC-MS, LC-MS, UV-Vis spectroscopy, and other appropriate analytical techniques.


    4. Research Data Analysis, Documentation, and Publication – 15%Analyze and interpret experimental results, maintain accurate laboratory records, conduct literature reviews, prepare figures and supporting data, and contribute to research manuscripts, presentations, reports, and scholarly publications.


    5. Other Duties as Assigned – 5%Perform other research, laboratory, administrative, collaborative, or scholarly duties as assigned by the Principal Investigator in support of the Yan Lab research program.




Qualifications

MINIMUM EDUCATION/EXPERIENCE



  • Doctoral or equivalent degree and a minimum of two (2) years of postdoctoral research. Additional requirements may be developed for particular academic disciplines.


ADDITIONAL APPLICANT INFORMATION



  • Candidate must reside in California and live within a commutable distance from SDSU at time of hire.

  • Job offer is contingent upon satisfactory clearance based on background check results (including a criminal record check).

  • San Diego State University Research Foundation is an equal opportunity employer. Consistent with California law and federal civil rights laws, SDSU Research Foundation provides equal opportunity in employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin or any other categories protected by federal or state law.

  • Employment decisions are based on an individual’s qualifications as they relate to the job under consideration. Our commitment to equal opportunity means ensuring that every employee has equal access to resources and support.

  • SDSU Research Foundation complies with Titles VI and VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California’s Proposition 209 (Art. I, Section 31 of the California Constitution), and other applicable state and federal anti-discrimination laws including grant or contract terms and conditions related to funded program activities. Further the SDSU Research Foundation maintains a Nondiscrimination Policy that prohibits discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of unlawful discrimination, harassment, and retaliation in all programs, policies, and practices.

  • SDSU Research Foundation makes all employment decisions including, but not limited to, applicant screening, hiring, promotion, demotion, compensation, benefits, disciplinary actions, and terminations on the basis of merit.

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