Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning. * Designs and evaluates AI algorithms using electronic ...
Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning. * Designs and evaluates AI algorithms using electronic ...
Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and ...
Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and ...
Biostatistics methods will include complex survival analysis, longitudinal analysis, machine learning, and causal inference. You will benefit from access to unique datasets and expertise from two of ...
Biostatistics methods will include complex survival analysis, longitudinal analysis, machine learning, and causal inference. You will benefit from access to unique datasets and expertise from two of ...
... causal inference and translating results into business actions • Demonstrated ability to mentor others and influence cross-functional partners toward adoption Company : Starbucks is a restaurant ...
... causal inference and translating results into business actions • Demonstrated ability to mentor others and influence cross-functional partners toward adoption Company : Starbucks is a restaurant ...
... in causal inference, risk stratification, and precision medicine • Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature ...
... in causal inference, risk stratification, and precision medicine • Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature ...
... clustering, causal inference) • Experience with data visualization tools (e.g., Tableau, Power BI, or similar) • Strong communication skills and attention to detail Preferred : • Degree ...
... clustering, causal inference) • Experience with data visualization tools (e.g., Tableau, Power BI, or similar) • Strong communication skills and attention to detail Preferred : • Degree ...
... classification, causal inference, clustering) • Experience with cloud data/analytics solutions (e.g., Azure or AWS) • Experience managing and coaching a team, with strong written/verbal ...
... classification, causal inference, clustering) • Experience with cloud data/analytics solutions (e.g., Azure or AWS) • Experience managing and coaching a team, with strong written/verbal ...
Proficiency in Python and/or R and SQL; hands-on experience with causal inference methods, Bayesian modeling, experimental design and power analysis, and marketing mix modeling concepts. Familiarity ...
Proficiency in Python and/or R and SQL; hands-on experience with causal inference methods, Bayesian modeling, experimental design and power analysis, and marketing mix modeling concepts. Familiarity ...
Proficiency in Python and/or R and SQL; hands-on experience with causal inference methods, Bayesian modeling, experimental design and power analysis, and marketing mix modeling concepts. Familiarity ...
Proficiency in Python and/or R and SQL; hands-on experience with causal inference methods, Bayesian modeling, experimental design and power analysis, and marketing mix modeling concepts. Familiarity ...
Assistant Professor - Department of Preventive Medicine, Biostatistics
Memphis, TN · On-site
$100 - $150/hr
All areas of biostatistics are of interest; we are especially interested in candidates with a demonstrated interest in artificial intelligence, high-dimensional data, and causal inference. We are ...
Assistant Professor - Department of Preventive Medicine, Biostatistics
Memphis, TN · On-site
$100 - $150/hr
All areas of biostatistics are of interest; we are especially interested in candidates with a demonstrated interest in artificial intelligence, high-dimensional data, and causal inference. We are ...
All areas of biostatistics are of interest; we are especially interested in candidates with a demonstrated interest in artificial intelligence, high-dimensional data, and causal inference. We are ...
All areas of biostatistics are of interest; we are especially interested in candidates with a demonstrated interest in artificial intelligence, high-dimensional data, and causal inference. We are ...
All areas of biostatistics are of interest; we are especially interested in candidates with a demonstrated interest in artificial intelligence, high-dimensional data, and causal inference. We are ...
All areas of biostatistics are of interest; we are especially interested in candidates with a demonstrated interest in artificial intelligence, high-dimensional data, and causal inference. We are ...
Oversee experimentation design, causal inference, and an internal test-and-learn framework that enables rapid, trustworthy learning across coffeehouses and markets. * Translate Analytics into Action:
Oversee experimentation design, causal inference, and an internal test-and-learn framework that enables rapid, trustworthy learning across coffeehouses and markets. * Translate Analytics into Action:
Faculty Position - Department of Epidemiology and Cancer Control, Data Science
Memphis, TN · On-site
$57K - $57K/yr
Interest in causal inference, risk stratification, and precision medicine * Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature ...
Faculty Position - Department of Epidemiology and Cancer Control, Data Science
Memphis, TN · On-site
$57K - $57K/yr
Interest in causal inference, risk stratification, and precision medicine * Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature ...
Oversee experimentation design, causal inference, and an internal test-and-learn framework that enables rapid, trustworthy learning across coffeehouses and markets. * Translate Analytics into Action:
Oversee experimentation design, causal inference, and an internal test-and-learn framework that enables rapid, trustworthy learning across coffeehouses and markets. * Translate Analytics into Action:
Familiarity with experiment design / causal inference and translating results into business actions * Demonstrated ability to mentor others and influence cross-functional partners toward adoption As ...
Familiarity with experiment design / causal inference and translating results into business actions * Demonstrated ability to mentor others and influence cross-functional partners toward adoption As ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Causal Inference information
See Tennessee salary details
$49.9K - $56.6K
0% of jobs
$56.6K - $63.2K
1% of jobs
$63.2K - $69.8K
3% of jobs
$69.8K - $76.5K
17% of jobs
$77.9K is the 25th percentile. Wages below this are outliers.
$76.5K - $83.1K
18% of jobs
The median wage is $87.3K / yr.
$83.1K - $89.8K
17% of jobs
$89.8K - $96.4K
18% of jobs
$96.6K is the 75th percentile. Wages above this are outliers.
$96.4K - $103.1K
17% of jobs
$103.1K - $109.7K
6% of jobs
$109.7K - $116.3K
1% of jobs
$116.3K - $123K
1% of jobs
$49.9K
$90.1K
$123K
How much do causal inference jobs pay per year?
As of Aug 26, 2026, the average yearly pay for causal inference in Tennessee is $90,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $98,500.00 per year, depending on experience, location, and employer.
What is a causal inference?
A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.
What skills and qualifications are needed for a causal inference position?
Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.
What are common challenges faced in a causal inference position?
Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.
What are the most commonly searched types of Causal Inference jobs in Tennessee?
The most popular types of Causal Inference jobs in Tennessee are:
What are popular job titles related to Causal Inference jobs in Tennessee?
For Causal Inference jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Tennessee look for?
The top searched job categories for Causal Inference jobs in Tennessee are:
Postdoctoral Scholar in Health AI-Pediatrics CBMI
Memphis, TN • On-site
The University of Tennessee •
Colleges, Universities, and Professional Schools • 1 - 5K employees1,001 - 5,000 employees
Full-time
Posted 29 days ago
Job description
THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2027.
The Postdoctoral Scholar designs, develops, evaluates, and optimizes advanced artificial intelligence (AI) methods that support intelligent cancer patient navigation and clinical decision support. Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and continuous learning to develop trustworthy AI solutions that improve cancer care delivery.
Responsibilities
- Designs, develops, implements, and optimizes advanced artificial intelligence, machine learning, and multimodal AI models for intelligent cancer patient navigation and clinical decision support.
- Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning.
- Designs and evaluates AI algorithms using electronic health records, patient-reported outcomes, social determinants of health, medical imaging, and other healthcare data sources.
- Conducts benchmarking, validation, performance evaluation, and fairness, robustness, and explainability assessments of AI model.
- Collaborates with software engineers, clinicians, and interdisciplinary investigators to translate AI research into interoperable clinical applications and decision support tools.
- Develops and maintains reproducible analytical workflows and research software to support AI model development and evaluation
- Mentors graduate students and junior researchers throughout the project lifecycle.
- Prepares manuscripts, technical reports, conference presentations, and publications in leading journals and scientific meetings.
- Participates in proposal preparation and collaborative research activities supporting federally and state-funded research programs.
- Performs other duties as assigned.
Qualifications
Ph.D. in a relevant discipline (e.g. Medical Informatics, Computer Science, Software Engineering, Mathematics, etc.)
Track record of publications in top journals and conferences in the field. Strong track record of quantitative and analytics mastery, and expertise in Artificial Intelligence, Machine Learning, Causal Modeling, and Knowledge Graphs. Strong coding and implementation skills. Outstanding interpersonal skills and written and verbal communication capabilities.
WORK SCHEDULE: This position may occasionally be required to work weekends and evenings. May require occasional overnight travel.
About University of Tennessee at Martin
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
Martin, TN, US
Year founded
1900