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Quantitative Scientist Jobs in Texas (NOW HIRING)

Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related. Experience

Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related. Experience

Bachelor's degree in a technical discipline (e.g., Mathematics, Physics, Computer Science, Engineering, or similar) from a well-regarded university * At least 2+ years of experience in a quantitative ...

PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related quantitative discipline. * Outstanding mathematical and statistical skills. * Strong programming ...

Experience applying data science, statistical techniques, and quantitative methodologies to solve business problems. * Experience developing analytical tools, quantitative models, or automated ...

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related. Experience

Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related. Experience

Strong quantitative and analytical skills. * Experience with R and/or programming languages such as ... Develop scientific writing and presentation skills through manuscripts, grant proposals, seminars ...

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Quantitative Scientist information

What is the difference between Quantitative Scientist vs Quantitative Analyst?

AspectQuantitative ScientistQuantitative Analyst
Required CredentialsAdvanced degrees (Master's/PhD) often preferred, strong math/stats backgroundBachelor's or Master's degree, strong analytical skills
Work EnvironmentResearch-focused, developing models, often in finance or techData analysis, reporting, supporting trading or business decisions
Employer & Industry UsageFinancial firms, hedge funds, tech companiesBanking, investment firms, financial services
Common Search & Comparison IntentUnderstanding role differences, career pathsJob responsibilities, skills required

While both roles involve quantitative analysis, Quantitative Scientists typically focus on developing new models and algorithms, often requiring advanced degrees and research skills. Quantitative Analysts tend to apply existing models to support decision-making, with a focus on data analysis and reporting. The roles overlap in finance and tech industries, but differ in scope and complexity.

What does a quantitative scientist do?

A quantitative scientist analyzes data using mathematical models, statistical techniques, and programming skills to solve complex problems and inform decision-making. They often work with large datasets, employ tools like Python or R, and develop algorithms to identify patterns or optimize processes. Their work is common in finance, technology, and research environments.

What cities in Texas are hiring for Quantitative Scientist jobs?

Cities in Texas with the most Quantitative Scientist job openings:

Infographic showing various Quantitative Scientist job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution.

Staff Quantitative Scientist

Verily Life Sciences

Dallas, TX • On-site

Full-time

Re-posted 23 hours ago


Key responsibilities

  • Design and analyze health studies using statistical and epidemiological methods to support decision-making.

  • Oversee research projects from design to dissemination, ensuring quality of statistical analysis plans, data, analytical code, and output.

  • Work with cross-functional teams to test service delivery models and evaluate the impact of new product features and AI on engagement and clinical outcomes.


Job description

Who We Are
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
Description
As a Staff Quantitative Scientist at Verily you will have the unique opportunity to shape the future of healthcare analytics, tackling complex challenges in personalizing patient care and the development of new approaches to health care delivery. You will be at the forefront of applying cutting-edge statistical and computational techniques to real-world health data, driving innovations that can transform patient outcomes and advance public health.
Responsibilities
  • Design and analyze health studies using statistical and epidemiological methods to support decision-making.
  • Oversee research projects from design to dissemination, employing scientific rigor by ensuring quality of statistical analysis plans, data, analytical code, and output
  • Work with Care Delivery, Product, and Commercial teams to demonstrate effectiveness of Verily's portfolio and develop metrics that enable strategic tracking based on evidence generation
  • Design and carry out analyses of clinical outcomes, health care costs, and utilization, including KPIs and performance guarantees.
  • Work with cross functional teams to test service delivery models, and evaluate the impact of new product features and AI on engagement and clinical outcomes.

Qualifications
Minimum Qualifications
  • Master's in Health Economics, Biostatistics, Epidemiology, Data Science, or related field
  • 5+ years in statistical analysis or biostatistics within healthcare.
  • Proficiency in Python or R for statistical programming.
  • Experience with health economic and epidemiological methods and study designs.

Preferred Qualifications
  • PhD in Health Economics, Health Services Research, Biostatistics, Epidemiology, Data Science, or related field
  • Experience with observational healthcare data including claims or electronic health records
  • Experience with advanced statistical or machine learning methods.
  • Previous experience working with products and/or digital health solutions.
  • Strong publication record and experience in study design.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
The US base salary range for this full-time position is $130,000 - $196,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.