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Research Scientist Optimization Jobs in Renton, WA

Uw

Research Scientist/Engr 1

Seattle, WA · On-site

$58K/yr

... optimization. In vitro functional assay development and execution - 25% Develop and run cell-free ... UAW Research About the UW Working at the University of Washington provides a unique opportunity to ...

Amazon

Research Scientist, Amazon Music - DISCO

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will play an integral part in the measurement and optimization of Amazon Music marketing ... field research experience - Experience investigating the feasibility of applying scientific ...

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All JobsResearch Scientist Optimization JobsResearch Scientist Optimization Jobs in Renton, WA

Research Scientist Optimization information

See Renton, WA salary details

$56.8K

$146.4K

$195.7K

How much do research scientist optimization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for research scientist optimization in Renton, WA is $146,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $194,600.00 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 are popular job titles related to Research Scientist Optimization jobs in Renton, WA?

For Research Scientist Optimization jobs in Renton, WA, the most frequently searched job titles are:

What cities near Renton, WA are hiring for Research Scientist Optimization jobs?

Cities near Renton, WA with the most Research Scientist Optimization job openings:

Research Scientist Optimization jobs near you
Infographic showing various Research Scientist Optimization job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,359 per year, or $70.4 per hour.

LCMS/MS ADC Principal Research Scientist

120 Altasciences Preclinical Seattle LLC

Seattle, WA • On-site

$110 - $120/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

About The Role

As an LC-MS Principal Research Scientist, you will serve as an industry expert for pre‑clinical GLP bioanalytical study method development, validation, and sample analysis utilizing triple quadrupole LC‑MS systems. You will be the expert for ADCs and large molecule LC‑MS/MS analytical assays and sample preparation, and you will be responsible for direct interaction with clients, report writing, and adherence to regulatory guidelines.

What You’ll Do
  • Provide technical and scientific expertise for small and large molecule analysis via LC‑MS/MS.
  • Ensure all work complies fully with GLP requirements, protocols, and SOPs.
  • Maintain open and direct communication and attend recurring calls with clients as needed.
  • Serve as principal investigator or contributing scientist for LC‑MS/MS studies.
  • Prepare all necessary driving documents for in‑lab analysis.
  • Complete and deliver scientific reports to clients on time.
  • Prepare materials, including animal blood and tissues, for analytical assays to be run on LC‑MS/MS instrumentation.
  • Maintain and document chain of custody for specimens, reagents, controls, and samples in the laboratory.
  • Perform assays according to protocol or other guiding documents with accurate documentation.
  • Maintain and update facility records related to the laboratory and its analyses.
  • Review laboratory records, procedures, and study data for completeness and accuracy.
  • Assist in calibration, optimization, maintenance, and collection of data from analytical instruments.
  • Perform routine laboratory maintenance (including cleaning, stocking supplies, equipment maintenance tasks, etc.).
  • Document deviations to laboratory procedures and study protocols in a timely manner and provide input for corrective actions.
  • Collaborate with internal regulatory departments to ensure quality and compliance oversight on GLP studies.
What You’ll Need to Succeed

Minimum Requirements

  • Bachelor’s degree in Immunology, Biology, Chemistry, or related scientific discipline.
  • Minimum of 5 years of relevant GLP laboratory experience.
  • Experience in a Good Laboratory Practices (GLP) and CRO environment.
  • Experience with LC‑MS/MS instrumentation and software.
  • Ability to handle multiple projects, prioritize work, and meet deadlines.

Preferred Requirements

  • Master’s degree or PhD in a scientific discipline.
  • Minimum of 5 years as Senior Research Scientist or equivalent in a GLP environment.
  • Experience with Shimadzu and SCIEX instrumentation.
  • Experience with Watson.
What We Offer

The pay range for this position is $110,000 - $120,000 annually. Salary may vary within the range based on experience, skills, education, location, and market data.

Benefits
  • Health, Dental, and Vision Insurance Plans
  • 401(k)/RRSP with Employer Match
  • Paid Vacation and Holidays
  • Paid Sick and Bereavement Leave
  • Employee Assistance & Telehealth Programs
  • Telework when applicable
  • Training and Development Programs
  • Employee Referral Bonus Program
Equal Opportunity Employer

Altasciences is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability or any other protected grounds under applicable legislation. Reasonable accommodations for persons with disabilities during the recruitment process are available upon request.

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