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Chopine Analytic Solutions

Bachelor's degree in engineering or related quantitative science field * Experience in developing intelligent algorithms capable of learning, analyzing, and predicting future events, turning those ...

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How much do quantitative science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for quantitative science in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 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.
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Infographic showing various Quantitative Science job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Assistant Professor, Quantitative Science Program

Providence, RI • On-site

Brown University
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about Brown Universityexternal

Full-time

Re-posted 15 days ago

Brown University rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Description
The incumbent will be expected to provide analytical support to members of the Department of Psychiatry and Human Behavior (DPHB) and establish an independent line of research with open specialization. A minimum of 20% of the incumbent's time must be devoted to the individual's own program of research. The incumbent will be expected to contribute to teaching roles of the Quantitative Science Program (QSP) and administrative roles of the QSP and DPHB.
Research
The incumbent will assist in designing research projects initiated by faculty in the QSP-sponsoring departments and units of Brown. Recommend and perform, or supervise the performance of, data analyses on designated projects. In this role, the incumbent will support the generation of scholarly publications for these projects by contributing text, tables, and/or graphics, with authorship credit as appropriate. The incumbent will participate in data presentation and scholarly writing related to projects of faculty in QSP sponsoring departments and units.
In addition to the service role at QSP, the incumbent will be expected to establish a personal research program and develop additional ideas for future studies and to seek funding for these studies from the NIH and other funding agencies. The incumbent will be expected to establish an independent investigative program, in an area of open specialization. It is expected that a minimum of 20% of the incumbent's time will be devoted to research, and space will be provided. The incumbent will serve as a liaison between the QSP and the various programs of Brown University and its affiliated hospitals.
Teaching
Under the direction and with the collaboration of the Director and Associate Director of QSP, develop courses, workshops, and seminar series for faculty, staff, trainees, and students regarding quantitative methods in applied research. Topic areas include research design, data management, quality assurance, basic statistics, advanced statistics, and psychometrics. Provide ongoing mentoring to junior faculty, trainees in methods and quantitative skills development.
Service & Administrative Responsibilities
The incumbent will be expected to actively participate in all activities of the Department of Psychiatry and Human Behavior, QSP, and The Warren Alpert Medical School of Brown University.
Qualifications
Minimum requirements include: PhD or equivalent degree in a quantitative discipline or a degree in another discipline with a strong quantitative background. One or more years post-doctoral experience is required. Preferred is training in Quantitative Psychology, Psychometrics, Educational Psychology, Statistics, Biostatistics, Epidemiology, Public Health, or Sociology, and a commitment to scholarly participation in a research program that integrates with other members of The Warren Alpert Medical School DPHB. Experience in randomized clinical trials and/or intensive longitudinal data analysis is highly desirable. There is no preference for the candidate's substantive research area.

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