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Phd Quant Jobs in Missouri (NOW HIRING)

Bayer

Quantitative Genetics Co-op

Chesterfield, MO · On-site

Currently enrolled in a PhD program with experience in developing population and quantitative genetics methods for routine use in breeding programs; * Demonstrated experience working collaboratively ...

Bayer Inc.

Quantitative Genetics Co-op

Chesterfield, MO

$22.75 - $47.75/hr

Currently enrolled in a PhD program with experience in developing population and quantitative genetics methods for routine use in breeding programs; * Demonstrated experience working collaboratively ...

Bayer

Quantitative Genetics Co-op

Chesterfield, MO · On-site

$22.75 - $47.75/hr

Currently enrolled in a PhD program with experience in developing population and quantitative genetics methods for routine use in breeding programs; Demonstrated experience working collaboratively in ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, Systems Biology, or a related quantitative discipline * Strong experience with high-dimensional biological data analysis

Meridial

$65/hr

A master's or PhD in mathematics or a closely related quantitative field is ideal; peerreviewed publications, teaching experience, research in pure or applied mathematics, or handson experience with ...

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$91.9K

$159.2K

$243.4K

How much do phd quant jobs pay per year?

As of Sep 7, 2026, the average yearly pay for phd quant in Missouri is $159,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $186,700.00 per year, depending on experience, location, and employer.

What is a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What are the key skills and qualifications needed to thrive as a PhD Quant?

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, computer science, and engineering, to develop and implement complex trading algorithms and models. Candidates typically need strong quantitative skills, programming experience in languages such as Python or C++, and a solid understanding of financial markets. A PhD can provide a competitive edge in securing roles in quantitative research, trading, or risk management within these firms.

How much do PhD quants make?

PhD quants typically earn between $150,000 and $300,000 annually, with compensation increasing based on experience, location, and the complexity of their quantitative models. Many also receive bonuses and profit-sharing, especially in finance and hedge fund environments where advanced statistical and programming skills are essential.

What are popular job titles related to Phd Quant jobs in Missouri?

For Phd Quant jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Phd Quant jobs in Missouri look for?

The top searched job categories for Phd Quant jobs in Missouri are:

What cities in Missouri are hiring for Phd Quant jobs?

Cities in Missouri with the most Phd Quant job openings:

Phd Quant jobs near you
Infographic showing various Phd Quant job openings in Missouri as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $159,206 per year, or $76.5 per hour.

Quantitative Genetics Co-op

Bayer

Chesterfield, MO • On-site

Full-time

Posted 6 days ago

Bayer rating

8.3

Company rating: 8.3 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical

Job description

Quantitative Genetics Co-op
As a Quantitative Genetics Scientist, you conduct key quantitative genetics discovery research to deliver improved workflows, high-quality lines, data packages, and prescriptions to the Product Design pipeline using the latest innovations in data science, genomics, quantitative genetics, computational biology, bioinformatics, and advanced genotypic, phenotypic, and environmental modeling; In this role, you execute the population and quantitative genetics technical strategy to design improved cohorts of germplasm aligned with Product Concept targets from initial crossing through handoff to Product Development, while supporting the implementation of Precision Breeding technical innovations in Product Design; You contribute strong technical expertise to breeding program design and optimization, breeding goal definition, optimization of automated crossing processes, genetic evaluation, and optimization of data acquisition, and you help identify key opportunities for new technology implementation and process improvement, all while supporting a collaborative, innovative, design-centric culture and upholding Bayer's Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Quantitative Genetics Scientist, are to;
  • Conduct quantitative genetics discovery research projects to deliver better workflows, high-quality lines, robust data packages, and actionable prescriptions to the Product Design pipeline;
  • Apply the latest innovations in data science, genomics, quantitative genetics, computational biology, bioinformatics, and advanced genotypic, phenotypic, and environmental modeling to support Product Design objectives;
  • Execute the population and quantitative genetics technical strategy to design improved cohorts of germplasm that are aligned with Product Concept targets from initial crossing through handoff to Product Development;
  • Support quantitative genetics projects focused on the implementation of Precision Breeding technical innovations in Product Design;
  • Contribute strong technical expertise to quantitative genetics research projects related to breeding program design and optimization, breeding goal definition, optimization of automated crossing processes, genetic evaluation, and optimization of data acquisition for Product Design;
  • Identify key areas of opportunity for new technology implementation and/or process improvement in quantitative genetics and breeding workflows;
  • Positively contribute to a collaborative, innovative, and design-centric culture within the Product Design and broader R&D organization;
  • Support and promote Health, Safety & Environment (HSE), Compliance, Business Conduct, and Human Rights policies and culture at the site.

WHO YOU ARE
Bayer seeks an incumbent who possesses the following;
  • Currently enrolled in a PhD program with experience in developing population and quantitative genetics methods for routine use in breeding programs;
  • Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals;
  • Demonstrated experience leading and influencing activities of cross-functional teams without direct reporting relationships;
  • Ability to lead and influence key stakeholders through challenges and opportunities, facilitating solutions and driving alignment;
  • Strong results orientation with demonstrated ability to manage multiple projects and priorities simultaneously;
  • Demonstrated ability to perform data analysis with large biological datasets is a plus;
  • Intermediate or advanced coding experience in R;
  • Experience in coding, delivering, and utilizing models, algorithms, and systems in at least one of the following areas;
    • Breeding program design and optimization;
    • Breeding goal definition;
    • Optimization of automated crossing processes;
    • Genetic evaluation;
    • Optimization of data acquisition at scale in plant or animal breeding programs;
  • Practice in building linear mixed models for agricultural data analysis and genomic prediction.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location:United States : Missouri : Chesterfield Division:Crop Science Reference Code:881745 Contact Us Email:hrop_usa@bayer.com

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About Bayer

Sourced by ZipRecruiter

Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to help people and planet thrive by supporting efforts to address the unprecedented global challenges presented by a growing and aging global population. At Bayer, we’re committed to drive sustainable development and generate a positive impact with our businesses. Through bold ideas and unprecedented insights, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Whippany, NJ, US

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