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Research Scientist Optimization Jobs (NOW HIRING)

Research Scientist Position #00807652: - Requisition #:40520 Job Summary: A Research Scientist ... and optimization of analytical and sample preparation methodologies to advance facility ...

We are seeking a highly motivated Research Scientist to serve as the subject matter expert in dairy ... Process Optimization & Technical Advocacy: * Predictive Quality: Apply your deep understanding of ...

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.

Master's degree with a focus on ML/AI, dataintensive systems, network science, optimization, or related areas. * Experience contributing to government, defense, or securityrelated R&D programs ...

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.

$90 - $130/hr

Research/Project Chemical Sciences Laboratory (CSL) Overview Under minimal or general guidance from ... optimization, substrate-scope evaluation, and synthesis of novel organic compounds. * 2. ...

New

... Signal Processing Scientist to join our dynamic research and development team. This role is ... Performance Optimization: Optimize computational complexity and memory usage. As mission needs ...

We routinely apply stochastic processes, statistical inference, optimization and scheduling, models ... Advanced degree in computer science, applied mathematics, physics, engineering, operations research ...

Showing results 41-60

Research Scientist Optimization information

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$50.5K

$130.1K

$174K

How much do research scientist optimization jobs pay per year?

As of Aug 22, 2026, the average yearly pay for research scientist optimization in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 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.

More about Research Scientist Optimization jobs

What cities are hiring for Research Scientist Optimization jobs?

Cities with the most Research Scientist Optimization job openings:

What states have the most Research Scientist Optimization jobs?

States with the most job openings for Research Scientist Optimization jobs include:

Infographic showing various Research Scientist Optimization job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

149th of 621 rated colleges and universities


Job description

University of Colorado Anschutz
Department: SOM, Biochemistry & Molecular Genetics (Mass Spectrometry Proteomics Facility)

Job Title: Research Scientist
Position #00807652: - Requisition #:40520
Job Summary:
A Research Scientist position is available in the School of Medicine Mass Spectrometry Proteomics Facility at the University of Colorado Anschutz Medical Campus.
We are seeking a highly motivated individual to help solve challenging biomedical problems using state-of-the-art mass spectrometry techniques. Prospective candidates will join a productive team leveraging advanced bioanalytical methods to address complex questions in health and disease. Candidates must be self-motivated, detail oriented, have a strong aptitude for learning new areas of research, and be adept at managing multiple projects in parallel.
The Research Scientist will have the opportunity to interact with a variety of researchers, both locally and nationally, and will support proteomics and informatics analysis for several funded projects aimed at improving patient outcomes. Ideal candidates have a Ph.D. in biological, chemical or computer sciences, with significant experience in mass spectrometry-based proteomics, bioinformatics, and wish to expand their training in multiple disciplines.
Key Responsibilities:
• Prepare complex biological samples (tissues, plasma, cell cultures) and execute proteomics workflows spanning global proteomics, phosphoproteomics, ECM proteomics, targeted proteomics, and more.
• Acquire, process, and analyze mass spectrometry datasets using established and emerging bioinformatics pipelines, including statistical evaluation and validation of results.
• Assist in the development and optimization of analytical and sample preparation methodologies to advance facility capabilities.
• Maintain and perform routine upkeep of mass spectrometry instrumentation and associated laboratory equipment, including reagent and buffer preparation.
• Generate detailed reports and maintain comprehensive laboratory records, including experimental metadata and data management documentation.
• Collaborate regularly with faculty, students, clinicians, and external investigators to discuss experimental design, data interpretation, and study outcomes.
• Contribute to the preparation of manuscripts, presentations, and technical reports, and assist with laboratory operations including protocol development, supply management, and data storage systems.
Work Location:
Onsite - this role is expected to work onsite and is located in Aurora, CO.
Why Join Us:
Our department conducts research across a wide biological scale for fundamental scientific understanding with applications to many disease contexts. The overarching goal is to reach a level of molecular insight that helps develop therapeutic approaches to disease.
As biochemists and molecular geneticists, we are amid an unprecedented time of discovery - our conception of the molecular biology of cells is going from the equivalent of grainy black-and-white to high-resolution technicolor. From deciphering the choreography of transcription complexes, chromosomes, and RNA molecules within cells to developing novel approaches to 3D molecular structure determination to understanding how viruses hijack a cell's machinery and alter its metabolome, the researchers in Biochemistry and Molecular Genetics (BMG) are at the forefronts of their fields both conceptually and technologically.
Why work for the University?
We have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:
  • Medical: Multiple plan options
  • Dental: Multiple plan options
  • Additional Insurance: Disability, Life, Vision
  • Retirement 401(a) Plan: Employer contributes 10% of your gross pay
  • Paid Time Off: Accruals over the year (based on percentage of time)
  • Vacation Days: 22/year (maximum accrual 352 hours)
  • Sick Days: 15/year (unlimited maximum accrual)
  • Holiday Days: 11/year
  • Tuition Benefit: Employees have access to this benefit on all CU campuses
  • ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.
Qualifications:
Minimum Qualifications:
Applicants must meet minimum qualifications at the time of hire.
• Master's degree in biology, molecular biology, chemistry, genetics or related field
• Prior experience or background within an experimental or wet lab
• Prior experience in mass spectrometry-based proteomic
• Two (2) or more years' experience preparing samples for LC-MS analysis.
• Two (2) or more years' experience with bench science and analytical instrumentation.
• Experience with bioinformatic
Preferred Qualifications:
• PhD degree in biological sciences, computational disciplines, or a related field within the last three years.
• Record of productivity supported by peer-reviewed publications in internationally recognized journal
• Experience with Thermo and Bruker LC-MS platform
• Experience with FragPipe, PEAKS, Proteome Discoverer, Spectronaut and DIA-NN
Knowledge, Skills and Abilities:
• Strong foundation in mass spectrometry-based proteomics, including data acquisition strategies such as DDA and DIA, protein identification, and quantitative workflows across diverse sample types including tissues, plasma, and cell culture
• Familiarity with a broad range of proteomics technologies and applications, including PTM mapping, phosphoproteomics, stable isotope tracing, targeted MS-based quantitative methods, cross-linking mass spectrometry, and redox or quantitative proteomic
• Experience with bioinformatics tools commonly used in the field, such as FragPipe, PEAKS, Proteome Discoverer, Spectronaut, and/or DIA-NN, and with applying statistical and multivariate analysis methods to large-scale proteomics datasets; programming proficiency in R, Python, or C++ is a plu
• Skilled in sample preparation for LC-MS analysis across a variety of proteomics workflows and experienced in operating and maintaining analytical instrumentation, ideally including Thermo and/or Bruker LC-MS platform
• Experience with proteomic data analysis and data mining, figure generation, and contributing to manuscript and report preparation, including the ability to develop, optimize, and document analytical methods and standard operating procedure
• Ability to manage multiple projects simultaneously with strong attention to detail and organization, working effectively both independently and as part of a collaborative team
• Strong written and oral communication skills, with the ability to engage regularly with faculty, students, clinicians, and external research partners, and the adaptability to learn new techniques and research areas as the needs of the facility evolve
How to Apply:
For full consideration, please submit the following document(s):
1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
2. Curriculum vitae / Resume
3. Five professional references including name, address, phone number (mobile number if appropriate), and email addre
Applications are accepted electronically ONLY at www.cu.edu/cu-careers.
Questions should be directed to: Anthony Saviola, Anthony.Saviola@cuanschutz.edu
Screening of Applications Begins:
Immediately and continues until position is filled. For best consideration, apply by August 31, 2026.
Anticipated Pay Range:
The starting salary range (or hiring range) for this position has been established as:
$70,000 to $85,000
The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.
Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.
Total Compensation Calculator: http://www.cu.edu/node/153125
Equal Employment Opportunity Statement:
The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
ADA Statement:
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.
Background Check Statement:
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
Vaccination Statement:
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

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