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Quant Internships Jobs in California (NOW HIRING)

Cornerstone Research

Summer Analyst

San Luis Obispo, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

Summer Analyst

San Diego, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

Summer Analyst

Fresno, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

Summer Analyst

San Jose, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

Summer Analyst

Sacramento, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

Summer Analyst

Stockton, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

Summer Analyst

Bakersfield, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

Summer Analyst

Chico, CA · On-site

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

Cornerstone Research

As a Summer Analyst, you will likely work on multiple cases throughout your internship. * Most cases have quantitative and qualitative elements, though some will be more quantitative and others more ...

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Quant Internships information

What is a quant internship?

A Quant Internship is a temporary position where students or recent graduates work with quantitative finance teams at hedge funds, banks, or trading firms. Interns use mathematical models, programming, and statistical analysis to analyze financial markets, develop trading strategies, or enhance risk management techniques. These roles typically require strong skills in programming (Python, C++, or R), statistics, and financial mathematics. The internship provides hands-on experience in algorithmic trading, portfolio optimization, and data-driven decision-making. Successful interns often receive full-time job offers in quantitative finance.

What kinds of projects or tasks are typically assigned to quant interns during their internship?

Quant Interns often work on projects such as data analysis, building or testing quantitative models, conducting backtesting on trading strategies, or supporting research on market trends. Daily tasks may include coding in languages like Python or R, analyzing large datasets, and preparing reports or presentations on findings. Interns typically collaborate closely with senior quantitative analysts, traders, or technologists, and may participate in team meetings or brainstorming sessions. This hands-on experience provides invaluable insight into the workflow of a quant team and helps interns develop practical skills applicable to full-time quantitative roles.

What are the key skills and qualifications needed to thrive in a quant internship, and why are they important?

To thrive in Quant Internships, a strong background in mathematics, statistics, programming (often Python, R, or C++), and familiarity with financial concepts is essential, typically supported by enrollment in a quantitative degree program such as math, physics, engineering, or finance. Interns should be adept with data analysis tools, statistical packages, coding platforms, and may benefit from exposure to Bloomberg terminals or similar financial data systems. Excellent problem-solving abilities, attention to detail, effective communication skills, and the ability to collaborate within teams are key soft skills in this field. Mastering these skills enables interns to contribute meaningfully to quantitative research, model development, and analytical projects within fast-paced financial environments.

What are the most commonly searched types of Quant Internships jobs in California?

The most popular types of Quant Internships jobs in California are:

What are popular job titles related to Quant Internships jobs in California?

For Quant Internships jobs in California, the most frequently searched job titles are:

What job categories do people searching Quant Internships jobs in California look for?

The top searched job categories for Quant Internships jobs in California are:

What cities in California are hiring for Quant Internships jobs?

Cities in California with the most Quant Internships job openings:

Quant Internships jobs near you
Infographic showing various Quant Internships job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 93% In-person, and 7% Hybrid job distribution.

Biostatistics Scientist (Plant Science)

Sakata Seed America, INC.

Woodland, CA • On-site

$90K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description


JOB SUMMARY

The Biostatistics Scientist supports applied statistical analysis, quantitative genetics, and breeding analytics for vegetable crop research programs. This entry-level role contributes to genomic, phenotypic, and field-trial data analysis under the guidance of senior scientists, managers and cross-functional project teams. The position helps develop reliable, reproducible analytical workflows that improve trait evaluation, marker-assisted selection, genomic prediction, and data-driven breeding decisions.

Key Responsibilities

Statistical Analysis, Quantitative Genetics & Genomic Prediction

  • Support the development, testing, and interpretation of statistical and genomic prediction models for vegetable crop breeding programs.
  • Apply standard statistical and quantitative genetics methods, such as mixed models, heritability estimation, genetic correlations, and basic genomic prediction approaches.
  • Assist with evaluating model performance, prediction accuracy, and data quality across populations, environments, and breeding stages.
  • Contribute to analyses that help breeders understand trait variation, experimental results, and selection opportunities.
  • Document methods, assumptions, code, and results clearly to support reproducibility and team review.

Molecular Marker & Trait Analytics

  • Analyze molecular marker datasets, including SNP and haplotype data, to support trait mapping, marker validation, and breeding decisions.
  • Assist molecular and breeding teams with data summaries for marker development, marker deployment, and trait evaluation projects.
  • Support quality control of genotypic and phenotypic datasets, including data cleaning, formatting, consistency checks, and basic exploratory analysis.
  • Help prepare selection metrics, trait summaries, and visualizations that integrate multiple sources of breeding data.
  • Translate analytical results into concise summaries that can be reviewed by breeders, molecular scientists, and project teams.

Genomic, Phenotypic & Field Trial Data Analysis

  • Prepare, manage, and analyze genomic, phenotypic, greenhouse, and field-trial datasets under guidance from senior team members.
  • Develop and maintain reproducible scripts for data quality control, statistical analysis, visualization, and reporting.
  • Contribute to the improvement of analytical templates, reporting workflows, and shared data practices in collaboration with bioinformatics and data teams.

Project Support & Cross-Functional Collaboration

  • Support analytical components of breeding, trait development, molecular marker, and technology projects.
  • Collaborate with breeders, phenotyping, molecular biology, bioinformatics, and data teams to understand project objectives and data requirements.
  • Prepare clear technical summaries, tables, figures, and presentations to communicate results to internal stakeholders.
  • Learn and apply current methods in biostatistics, quantitative genetics, breeding analytics, and reproducible scientific computing.


Required Qualifications

Education

  • PhD in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field; industry experience a plus
    or
  • MS in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field with 0–2 years of relevant academic, internship; industry experience a plus


Experience & Technical Skills

  • Foundational training in statistics, biostatistics, quantitative genetics, plant breeding, computational biology, or related analytical disciplines.
  • Experience with statistical analysis of biological, genomic, phenotypic, field-trial, or experimental datasets through graduate research, internships, or applied projects.
  • Working knowledge of statistical programming in R, Python, SAS, or similar tools.
  • Good understanding of experimental design, mixed models, regression, data visualization, and reproducible analytical workflows.
  • Experience with molecular markers, genomic data, plant breeding concepts, or trait analysis is desirable.
  • Ability to learn new methods, manage multiple analytical tasks, and deliver accurate results with guidance.
  • Strong attention to detail, scientific curiosity, communication skills, and willingness to collaborate across disciplines.

Preferred Qualifications

  • Research experience in plant breeding, seed industry research, agricultural biotechnology, or applied life-science data analysis.
  • Experience in genomic prediction, QTL mapping, GWAS, marker-assisted selection, or trait discovery workflows.
  • Familiarity with breeding databases, phenotyping systems, laboratory information systems, or integrated data platforms.
  • Experience preparing figures, tables, dashboards, or technical reports for scientific or cross-functional audiences.
  • Exposure to cloud-based, Linux, Git, or high-performance computing environments for data analysis.
  • Interest in applying AI, machine learning, and modern statistical methods to practical breeding and research questions.

Competencies & Behaviors

  • Demonstrates curiosity, initiative, and accountability in learning new analytical methods and scientific workflows.
  • Applies statistical methods carefully, with attention to data quality, assumptions, and reproducibility.
  • Works collaboratively with scientists from breeding, molecular biology, phenotyping, bioinformatics, and data teams.
  • Communicates analytical results clearly to both technical and non-technical audiences.
  • Manages assigned tasks effectively, asks timely questions, and follows through on deliverables.
  • Contributes to a culture of scientific rigor, continuous improvement, teamwork, and practical problem solving.

Reporting Structure

  • Reports to Senior Biotech Manager

Works under the guidance of senior scientists, project leads, and cross-functional research teams

BENEFITS:

Health & Wellness
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)

Employee Philanthropic Giving Program

Disability Insurance (plans vary by location)


Financial Benefits
401(k) Program + Company Match
Profit Sharing Program (via 401(k)

Holiday Bonus

Performance Incentive Bonus Program
Tuition Reimbursement

529 College‑Savings Plan
Company-Paid Basic Life & AD&D Insurance


Time Off & Flexibility
Paid Vacation
Paid Sick Leave
15 Paid Company Holidays
2 Floating Holidays

Birthday Off