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Quantitative Research Associate Jobs in California

Join Natera's R&D Scientific Operations as a Research Associate 2 on the Sample Processing team ... Determine the quantity and quality of nucleic acids using Quant-IT, Qubit, Nanodrop, BioAnalyzer ...

Research Associate 2

San Carlos, CA ยท On-site

$74K - $93K/yr

Join Natera's R&D Scientific Operations as a Research Associate 2 on the Sample Processing team ... Determine the quantity and quality of nucleic acids using Quant-IT, Qubit, Nanodrop, BioAnalyzer ...

Octant is seeking a Research Associate (RA) to join our High-Throughput Screening (HTS) team, where ... quantitative data analysis, along with excellent communication and an ability to thrive in a ...

Showing results 41-60

Quantitative Research Associate information

See California salary details

$30.6K

$89.4K

$144.1K

How much do quantitative research associate jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quantitative research associate in California is $89,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $117,400.00 per year, depending on experience, location, and employer.

What is a quantitative research associate?

Quantitative Research Associates are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in finance, economics, or scientific research. They typically work with large datasets to develop models, identify trends, and inform decision-making processes. Their work is crucial in areas such as investment banking, asset management, and risk analysis, where data-driven insights can lead to better strategies and outcomes.

What are the key skills and qualifications needed to thrive as a quantitative research associate?

To excel as a Quantitative Research Associate, you need strong quantitative analysis skills, experience with statistical modeling, and a relevant degree in mathematics, statistics, economics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with data analysis tools and financial databases are typically required. Exceptional problem-solving, attention to detail, and the ability to communicate complex findings clearly make candidates stand out. These skills are crucial for producing accurate research insights that drive effective decision-making and strategic planning.

What are the typical collaboration opportunities for a quantitative research associate within a financial institution?

Quantitative Research Associates frequently collaborate with portfolio managers, data scientists, and software engineers to develop and refine financial models and trading strategies. This cross-functional teamwork is essential for integrating new research insights into existing investment processes and ensuring that models are robust and actionable. Associates often participate in regular meetings to discuss research findings, share market insights, and troubleshoot model performance, fostering a dynamic and intellectually stimulating work environment. This collaborative structure also offers valuable exposure to different facets of the business, which can accelerate professional growth.

What is the difference between Quantitative Research Associate vs Quantitative Analyst?

AspectQuantitative Research AssociateQuantitative Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often pursuing or holding a master'sBachelor's or master's degree in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentResearch-focused, often in finance or investment firms, supporting trading or investment strategiesData analysis and modeling in finance, risk management, or trading departments
Employer & Industry UsageUsed in asset management, hedge funds, and investment banksCommon in hedge funds, investment banks, and financial institutions

While both roles involve quantitative analysis, a Quantitative Research Associate primarily focuses on developing and testing investment strategies through research, whereas a Quantitative Analyst emphasizes building models and analyzing data to inform trading and risk decisions. The roles often overlap but differ in their core focus and daily tasks.

Is quantitative research a good career?

Quantitative research is a valuable career for those interested in data analysis, statistical modeling, and financial or market research. It often requires strong skills in mathematics, programming, and statistical software, and can offer opportunities in finance, consulting, and technology sectors with competitive salaries and growth potential.

What are the most commonly searched types of Quantitative Research jobs in California?

The most popular types of Quantitative Research jobs in California are:

What are popular job titles related to Quantitative Research Associate jobs in California?

For Quantitative Research Associate jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Quantitative Research Associate jobs?

Cities in California with the most Quantitative Research Associate job openings:

Infographic showing various Quantitative Research Associate job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $89,393 per year, or $43 per hour.

Research Associate - Microreactor Chip Based Sample Delivery

SLAC National Accelerator Laboratory

Menlo Park, CA โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Position Overview
The Linac Coherent Light Source (LCLS) at SLAC National Accelerator Laboratory, a DOE national user facility operated by Stanford University, seeks a Research Associate to lead development of segmented-flow droplet microreactors for high-throughput, time-resolved X-ray studies of transient chemical and biological processes. This project will enable new science in gas/liquid/solid catalysis, gas/liquid and liquidliquid mixing, and nucleation studies relevant to pharmaceuticals, energy storage materials, and greenhouse-gas remediation.
The Research Associate will work closely with the Sample Environment and Delivery team to integrate droplet-based microfluidic technologies into LCLS's existing liquid-jet delivery systems, ensuring compatibility with upcoming LCLS-II-HE operating modes. The role involves hands-on device design and fabrication, benchtop characterization (high-speed imaging, mixing/transport diagnostics), and experimental support at LCLS and SSRL. The position involves close collaboration with SLAC and Stanford teams for microfabrication, rapid prototyping, and systems integration, as well as documenting standard operating procedures, safety protocols, and experimental results.
This is a two-year fixed term position. Applicants should include a cover letter, a statement of research, a curriculum vitae including a list of publications, and names of three references with the application. Review of applications will begin immediately. Later applications may be considered at the discretion of the search committee.
SLAC is a U.S. Department of Energy (DOE) laboratory operated by Stanford University and based in Menlo Park, CA.
Your impact:
  • Design, fabricate, and iterate designs of segmented-flow microreactor prototypes (PDMS, glass, commercial chips).
  • Build and operate the microfluidic platform to characterize device performance: syringe/pressure pumps, controllers, valves, fittings, and tubing for multiphase flows.
  • Characterize droplets and mixing with high-speed imaging, fluorescence, and quantitative image analysis.
  • Run offline reaction and transport experiments (gasliquid, liquidliquid, particle suspensions); collect and analyze kinetic/transport data.
  • Maintain experimental records, SOPs, safety documentation, and inventory of consumables.
  • Collaborate with microfabrication engineers and vendors for rapid prototyping and materials selection.
  • Contribute to data reduction, figure generation, technical reports, and manuscripts.

Note: The Research Associate role is a fixed term staff position. This is a 2-year fixed term position with the possibility of extension. Assignment duration is contingent upon project needs and funding.
Applicants must provide evidence of either a recently completed PhD degree or confirmation of completion of the PhD degree requirements prior to starting the position. Applicants should also include a cover letter, a statement of research area including brief summary of accomplishments, a curriculum vitae, a list of publications, and names of at least three references from whom letters of recommendation will form part of the application.
To be successful in this position you will bring:
  • Ph.D. in Engineering (biomedical, electrical, mechanical, etc.), Chemistry, Biology, Physics, or related field.
  • Demonstrated experience with microfluidics, millifluidics, and microfabrication.
  • Hands-on experience with fluid handling hardware: syringe pumps, pressure controllers, fittings, and tubing.
  • Ability to lead experiments independently.
  • Ability to rapidly prototype and test new techniques
  • Experience with development of optical diagnostics (high-speed imaging, basic fluorescence microscopy) and quantitative image analysis.
  • Demonstrated record of scientific productivity through peer-reviewed publications.
  • Strong experimental troubleshooting, record keeping, and communication skills.
  • Ability to travel and participate in beamline experiments at SSRL and LCLS as required.
  • Demonstrated ability to work and communicate effectively with a diverse population.

In addition, preferred requirements include:
  • Prior experience with experiments at X-ray light sources (synchrotron or XFEL), or familiarity with X-ray sample-delivery constraints.
  • Microfabrication skills: soft lithography (PDMS), glass etching, metal deposition, or chip assembly.
  • Experience developing complex sample delivery systems, particularly supporting droplet based techniques as well as liquid jets.
  • Experience working with multiphase flows, gas-liquid microreactors, or solid suspensions in microchannels.
  • Experience with vacuum or helium-environment sample handling, and safe handling of hazardous reagents.
  • Programming for data analysis and automation (Python, MATLAB, or LabVIEW).

Candidates will provide evidence of either a recently completed PhD degree in the area of physics, mathematics, materials science, or a related field, and confirmation of completion of the PhD degree requirements prior to starting the position.
SLAC Employee competencies:
  • Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner.
  • Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.
  • Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
  • Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
  • Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
  • Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
  • Relationships: Builds relationships to foster trust, team collaboration, and a positive climate to achieve common goals.

Physical requirements and working conditions:
  • Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
  • May work extended hours during peak business cycles.
  • The ability to travel to synchrotron and XFEL facilities around the world to perform experiments is required.
  • Given the nature of this position, onsite work is required.

Work standards:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1General Policy and Responsibilities: http://www-group.slac.stanford.edu/esh/eshmanual/pdfs/ESHch01.pdf
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
  • As a national laboratory, SLAC National Accelerator Laboratory is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require employees to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

  • Classification Title: Research Associate Experimental
  • Job code: 0127, Grade: G
  • Employment Duration: 2 years fixed term

The expected pay range for this position is $70,000 - $100,000 per annum. SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.