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Phd Quant Jobs in Michigan (NOW HIRING)

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field * Knowledge ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

Preferred : • Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field. • Prior experience at an autonomous vehicle, robotics, or hard-tech ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

Preferred : • Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field. • Prior experience at an autonomous vehicle, robotics, or hard-tech ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field * Knowledge ...

RXO

Forward Deployed Engineer

Southfield, MI · On-site

Advanced degree (MS or PhD) in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field * Experience in supply chain, logistics, or transportation operations

Trinity Health

Medical Physicist

Muskegon, MI · On-site

Assists physician in the evaluation of quantitative studies, such as the measurement of cardiac ... PhD in Medical Physics. * Preferred: ABSNM (American Board of the Society of Nuclear Medicine ...

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Phd Quant information

See Michigan salary details

$85.4K

$147.9K

$226.2K

How much do phd quant jobs pay per year?

As of Aug 6, 2026, the average yearly pay for phd quant in Michigan is $147,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $173,400.00 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 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 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.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, engineering, and computer science, to develop and implement quantitative trading strategies. These roles often require strong analytical skills, programming proficiency in languages such as Python or C++, and a deep understanding of financial models. PhDs are valued for their research experience and ability to handle complex data analysis in a fast-paced environment.

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 models used. Many also receive bonuses and profit-sharing, especially in hedge funds and investment banks. Advanced quantitative skills in programming and statistical analysis are highly valued in this field.

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.

What are popular job titles related to Phd Quant jobs in Michigan? For Phd Quant jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Phd Quant jobs in Michigan look for? The top searched job categories for Phd Quant jobs in Michigan are:
What cities in Michigan are hiring for Phd Quant jobs? Cities in Michigan with the most Phd Quant job openings:
Phd Quant jobs near you
Infographic showing various Phd Quant job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $147,935 per year, or $71.1 per hour.

Director, Screening and High Content Analysis

Rock Connections

Detroit, MI

Full-time

Re-posted 26 days ago

Job description

As the Director, Screening and High Content Analysis, you will lead the development and execution of NGNRI's high-content screening platform, driving target discovery and therapeutic development using advanced organoid and cell-based models.

This role will design and scale automated screening workflows that integrate high-content imaging, quantitative image analysis, and data science approaches, including AI-driven methods. As a scientific and technical leader, you will ensure seamless integration of screening capabilities with NGNRI's broader research platforms and strategic priorities.

This is a key leadership position with a clear mandate: to build and manage robust, high throughput screening and analysis systems that accelerate the discovery of therapeutic targets and compounds for NF1 and related neurological disorders.

About therole

  • Establish and lead NGNRI's high-content imaging and screening platform

  • Design and implement automated screening workflows for organoid and cell-based assays

  • Develop and optimize imaging assays, phenotypic readouts, and quantitative analysis pipelines

  • Integrate AI/ML-based approaches for image analysis and pattern recognition

  • Ensure scalability, robustness, and reproducibility of screening pipelines

  • Collaborate closely with the Head of Cell Culture and Organoids to align biological models with screening requirements

  • Recruit, train, and manage a multidisciplinary team (biologists, imaging scientists, data analysts)

  • Oversee data management, storage, and analysis pipelines, ensuring accessibility and integrity

  • Partner with internal and external researchers to design screening campaigns for target identification and drug discovery

  • Continuously evaluate emerging technologies in imaging, automation, and computational analysis

  • Contribute to interpretation of screening results and downstream validation strategies

  • Ensure compliance with relevant regulatory, data governance, and ethical standards

Aboutyou

  • High integrity and commitment to scientific excellence

  • Innovative and technology-driven mindset

  • Strong leadership and team development skills

  • Collaborative and interdisciplinary approach

  • Detail-oriented with strong organizational skills

  • Adaptable and results-driven

Preferred Qualifications

  • Significant experience in high-content imaging, phenotypic screening, or related

  • fields

  • Proven track record in designing and executing automated screening campaigns

  • Expertise in image analysis tools and platforms (e.g., CellProfiler, ImageJ, Python

  • based pipelines, or equivalent)

  • Experience with AI/ML approaches applied to biological imaging data is highly

  • desirable

  • Experience working with complex biological systems such as organoids or stem cell

  • derived models is a strong asset

  • Demonstrated leadership experience in academic, biotech, or pharmaceutical

  • environments

  • Strong analytical and problem-solving skills

  • Excellent communication and cross-functional collaboration abilities

  • Experience managing large datasets and computational workflows

  • Familiarity with drug discovery pipelines is advantageous

  • PhD in bioengineering, computational biology, neuroscience, cell biology, or related discipline

Whatyou'llget

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offerall sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list ofBenefits and Perks.

Aboutus

The Nick Gilbert Neurofibromatosis Research Institute (NGNRI)is a nonprofit organization focused on developing treatments and cures for Neurofibromatosis type 1 (NF1) and other neurological disorders and cancers with significant unmet need. Backed by the Gilbert Family Foundation and created in partnership with Michigan State University (MSU) and Henry Ford Health (HFH), NGNRI brings together leading scientific and clinical expertise to accelerate translational discovery.
Located within a new,state-of-the-artresearch facility in midtown Detroit, NGNRI offers a highly collaborative environment alongside MSU and HFH. The institute is equipped with advanced platforms-including organoid and stem cell models, AI-driven analysis, FACS, and CRISPR technologies-and provides access to extensive shared core facilities.
NGNRI supports both in-house researchers and visiting scientists, creating a dynamic, mission-driven ecosystem designed to advance innovation and deliver impact in an underserved field. As part of Detroit's rapidly growing medical research campus, NGNRI offers a unique opportunity to contribute to cutting-edge science within a vibrant and expanding hub.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of thecompany at any time. Decisions related toemployment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationstoqualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, atCareers@Rocket.com.

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