1

Quantitative Science Jobs in Texas (NOW HIRING)

The Population Science Division and the Physical and Quantitative Science (PQS) Division at Moffitt Cancer Center advance cancer research through complementary, datadriven, and interdisciplinary ...

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 ...

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

Bachelor's degree or higher in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, Physics, or a related discipline. * 1 - 3 years' experience in options market ...

Bachelor's degree or higher in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, Physics, or a related discipline. * 1 - 3 years' experience in options market ...

Quantitative Trader

Austin, TX · On-site

$120 - $180/hr

Bachelor's degree or higher in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, Physics, or a related discipline. * 1 - 3 years' experience in options market ...

next page

Showing results 1-20

Quantitative Science information

See Texas salary details

$91.3K

$158.1K

$241.8K

How much do quantitative science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative science in Texas is $158,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $185,400.00 per year, depending on experience, location, and employer.

What is a quantitative science?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are some typical projects or tasks a quantitative science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What are the key skills and qualifications needed to thrive in the quantitative science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.
Infographic showing various Quantitative Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $158,128 per year, or $76 per hour.

Staff Quantitative Scientist

Verily Life Sciences

Dallas, TX • On-site

Full-time

Posted 18 days ago


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.