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Remote Quantitative Researcher Jobs in Tennessee

Pinion

Manager - National Tax Office

Brentwood, TN · Remote

$105K - $137K/yr

Are you a tax professional with a passion for research, modeling, and solving complex entity ... Perform quantitative analysis and tax modeling to evaluate entity structures, transactions, and ...

NTT DATA Services

Medicaid Eligibility SME

Nashville, TN · Remote

$72K - $170K/yr

Support Member Services Member communication team with daily notice review, researching notice ... Excels at using quantitative data to drive recommendations and decisions Where required by law, NTT ...

NTT DATA Services

Medicaid Eligibility SME

Nashville, TN · Remote

$72K - $170K/yr

Support Member Services Member communication team with daily notice review, researching notice ... Excels at using quantitative data to drive recommendations and decisions Where required by law, NTT ...

Munich Re

Data Scientist, AI

Memphis, TN · On-site +1

... Research double major We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: * Two options for your health insurance plan (PPO or High ...

Munich Re

Data Scientist, AI

Chattanooga, TN · On-site +1

... Research double major We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: * Two options for your health insurance plan (PPO or High ...

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Remote Quantitative Researcher information

What are the key skills and qualifications needed to thrive as a Remote Quantitative Researcher, and why are they important?

To thrive as a Remote Quantitative Researcher, you need strong analytical skills, advanced mathematical or statistical knowledge, and typically a degree in a quantitative field such as mathematics, statistics, or economics. Expertise in programming languages like Python or R, experience with statistical modeling tools, and familiarity with data analysis platforms are commonly required. Excellent problem-solving abilities, attention to detail, and clear written communication are standout soft skills for this role. These competencies enable effective remote collaboration, high-quality research output, and the ability to draw actionable insights from complex data.

What is the difference between Remote Quantitative Researcher vs Remote Data Analyst?

AspectRemote Quantitative ResearcherRemote Data Analyst
Required CredentialsTypically requires a master's or Ph.D. in statistics, mathematics, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentConducts research, develops models, and analyzes large datasets for research projectsFocuses on interpreting data, creating reports, and supporting business decisions
Employer & Industry UsageUsed in academia, research institutions, and R&D departments of tech and finance firmsCommon in corporate, marketing, finance, and healthcare sectors

While both roles involve data analysis, Remote Quantitative Researchers primarily focus on developing models and conducting research, often requiring advanced degrees. Remote Data Analysts interpret data to inform business decisions, typically with a broader range of educational backgrounds. Both roles are essential in data-driven industries but serve different functions within organizations.

How does a Remote Quantitative Researcher typically collaborate with team members across different time zones?

As a Remote Quantitative Researcher, effective collaboration across time zones is essential and often facilitated through asynchronous communication tools like Slack, email, and project management platforms. Regularly scheduled virtual meetings, such as weekly stand-ups or brainstorming sessions, help maintain alignment and foster teamwork. Sharing code, data, and research findings via cloud-based repositories ensures transparency and accessibility for all team members. Flexibility in working hours and clear documentation of methodologies also play a key role in minimizing misunderstandings and keeping projects on track.

What is a Remote Quantitative Researcher?

A Remote Quantitative Researcher is a professional who analyzes and interprets numerical data to help organizations make informed decisions, typically from a remote location. They use statistical methods, mathematical models, and computer algorithms to identify patterns, test hypotheses, and generate insights. These researchers often work in fields such as finance, economics, healthcare, and social sciences. By working remotely, they leverage digital tools to collaborate with teams and access data, enabling flexibility and access to global opportunities.
What are the most commonly searched types of Quantitative Researcher jobs in Tennessee? The most popular types of Quantitative Researcher jobs in Tennessee are:
What are popular job titles related to Remote Quantitative Researcher jobs in Tennessee? For Remote Quantitative Researcher jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Researcher jobs in Tennessee look for? The top searched job categories for Remote Quantitative Researcher jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Quantitative Researcher jobs? Cities in Tennessee with the most Remote Quantitative Researcher job openings:
Remote Quantitative Researcher jobs near you
Infographic showing various Remote Quantitative Researcher job openings in Tennessee as of July 2026, with employment types broken down into 79% Full Time, 8% Part Time, 4% Temporary, and 9% Contract. Highlights an 5% In-person, and 95% Remote job distribution.
Research Scientist: College of Nursing - UTK

Research Scientist: College of Nursing - UTK

The University of Tennessee

Knoxville, TN • On-site, Remote

$50K/yr

Full-time

Posted 5 days ago

Job description

The College of Nursing (CON) at the University of Tennessee Knoxville, the state's flagship research institution, seeks a Research Scientist to preform technical, analytical, and data science operations for active digital health and clinical informatics research projects under the direct mentorship of the Principal Investigator (PI). The Research Scientist will drive data science, machine learning, and systems engineering methodology under federal and institutional research grants. Key responsibilities include implementing predictive models, prototyping clinical decision support (CDS) workflows and establishing technical integrations with clinical platforms. 

This is a grant-funded position and is contingent upon the continued funding of the grant. 

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service. 

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory. 

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.  

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone. 

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.  

Apply today and join the Tennessee Volunteer community! 

REQUIRED QUALIFICATIONS:

Education:

  • PhD or advanced doctoral candidacy (ABD) in Biomedical Informatics, Nursing Informatics, Computer Science, Data Science, Quantitative Psychology, or a related computational/quantitative field.

Knowledge, Skills, Abilities:

  • Strong track record of scientific writing, including contributions to peer-reviewed publications and federal grant proposals (NIH preferred).
  • Excellent communication skills with a proven ability to translate complex clinical workflows into structured engineering requirements.
  • Advanced proficiency in Python, R, and database querying (SQL).
  • Hands-on experience developing and deploying machine learning or predictive models.
  • Demonstrated familiarity with NLP, text mining, or clinical language modeling.

Preferred Qualifications:

Experience:

  • Experience analyzing clinical metadata, EHR documentation, claims, and operational clinical data
  • Familiarity with clinical terminologies/ontologies (e.g., SNOMED-CT, LOINC, RxNorm) or knowledge representation frameworks.
  • Familiarity with natural language processing, generative AI, and associated AI frameworks
  • Experience collaborating with commercial digital health, medical device, or health tech vendors on system integrations, security agreements, or intellectual property protocols.

Work Location: This position can be distance/remote or onsite in Knoxville, TN. 

Compensation:

  • UT market range: MR09
  • Anticipated hiring range: $50,000
  • Find more information on the UT Market Range structure here

Application Instructions 

For best consideration, applicants should submit a cover letter and resume before August 3rd, 2026.

About the College of Nursing 

With a longstanding tradition of excellence in nursing education, research, and clinical practice, we are proud to be a guiding force in healthcare education. We embrace innovation while honoring the values that have shaped our success. By offering cutting-edge academic programs, supporting impactful research, and forging strong community partnerships, we prepare healthcare professionals who deliver high-quality, culturally responsive care in a diverse and ever-changing world. Join the Vol Nurse Family! Get to know CON

Predictive Modeling & Data Science 

  • Execute and evaluate predictive models using various data models.

  • Program and maintain complex data pipelines utilizing Python, R, or SQL to extract, clean, and analyze relevant research data.

  • Conduct advanced statistical modeling to analyze research outcomes

Clinical Decision Support (CDS) Prototyping & Technical Integration 

  • Design, implement, and evaluate proof-of-concept/prototype CDS systems

  • Perform technical evaluations of partner technology stacks, API endpoints, and messaging protocols to map secure data integrations.

  • Build and validate simulation tools to train model prompts, evaluate data extraction accuracy, and test clinical CDS vignettes.

Knowledge Engineering & Ontology Development (15%) 

  • Collaborate with multi-disciplinary co-investigators and specialists (e.g., computer science, clinical sciences, ontology teams) to refine, map, and translate clinical vocabularies, taxonomies, and knowledge representation frameworks.

  • Maintain data security, IRB compliance, and access controls for datasets in secure academic computing environments.

Grant Writing & Academic Operations 

  • Contribute to federal and foundation grant proposals by drafting and editing technical sections (specifically Specific Aims, Research Strategy, and Approach sections) under the direction of the PI

  • Co-author peer-reviewed manuscripts and represent the research team at national biomedical informatics and clinical research conferences.

  • Provide informatics, data science, and analytical guidance to junior faculty, postdocs, and graduate research assistants

Apply