We prefer candidates with strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized ...
New
We prefer candidates with strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized ...
New
Apply causal inference and discovery frameworks to clinical questions. * Translate proposed methods and frameworks into real-world clinical workflows. * Contribute to grant proposals and research ...
Apply causal inference and discovery frameworks to clinical questions. * Translate proposed methods and frameworks into real-world clinical workflows. * Contribute to grant proposals and research ...
Postdoctoral Fellow in Biostatistics and Health Data Science
Bloomington, IN · On-site
$45K - $61K/yr
Apply causal inference and discovery frameworks to clinical questions. * Translate proposed methods and frameworks into real-world clinical workflows. * Contribute to grant proposals and research ...
Postdoctoral Fellow in Biostatistics and Health Data Science
Bloomington, IN · On-site
$45K - $61K/yr
Apply causal inference and discovery frameworks to clinical questions. * Translate proposed methods and frameworks into real-world clinical workflows. * Contribute to grant proposals and research ...
Strong candidates will have a research agenda that demonstrates innovative uses of quantitative methods - such as machine learning and AI, text-as-data, network analysis, causal inference, or large ...
Strong candidates will have a research agenda that demonstrates innovative uses of quantitative methods - such as machine learning and AI, text-as-data, network analysis, causal inference, or large ...
We are playing a leading role in transforming the way the company develops medicines using state-of-the-art methods in adaptive designs, Bayesian statistics, causal inference, genetic/biomarker ...
We are playing a leading role in transforming the way the company develops medicines using state-of-the-art methods in adaptive designs, Bayesian statistics, causal inference, genetic/biomarker ...
Statistics Leader / Associate Director of Statistics
Warsaw, IN · On-site
$150K - $250K/yr
Familiarity with causal inference and/or AI/ML methods, and interest in applying these approaches (when appropriate) to clinical and/or real-world data * Demonstrated ability to lead or make major ...
Statistics Leader / Associate Director of Statistics
Warsaw, IN · On-site
$150K - $250K/yr
Familiarity with causal inference and/or AI/ML methods, and interest in applying these approaches (when appropriate) to clinical and/or real-world data * Demonstrated ability to lead or make major ...
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 ...
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 ...
LSAT Logical Reasoning Tutor
Valparaiso, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
LSAT Logical Reasoning Tutor
Valparaiso, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
LSAT Logical Reasoning Tutor
West Lafayette, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
LSAT Logical Reasoning Tutor
West Lafayette, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
LSAT Logical Reasoning Tutor
Bloomington, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
LSAT Logical Reasoning Tutor
Bloomington, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
LSAT Logical Reasoning Tutor
Fort Wayne, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
LSAT Logical Reasoning Tutor
Fort Wayne, IN · Remote
$26 - $40/hr
... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...
Develop and enhance distributed training and inference workflows, leveraging data-driven approaches ... causal graphs, or log-event graphs). * Hands-on experience with frameworks such as PyTorch ...
Develop and enhance distributed training and inference workflows, leveraging data-driven approaches ... causal graphs, or log-event graphs). * Hands-on experience with frameworks such as PyTorch ...
Causal Inference information
See Indiana salary details
$52.3K - $59.3K
0% of jobs
$59.3K - $66.3K
1% of jobs
$66.3K - $73.2K
3% of jobs
$73.2K - $80.2K
17% of jobs
$81.6K is the 25th percentile. Wages below this are outliers.
$80.2K - $87.2K
18% of jobs
The median wage is $91.5K / yr.
$87.2K - $94.1K
17% of jobs
$94.1K - $101.1K
18% of jobs
$101.3K is the 75th percentile. Wages above this are outliers.
$101.1K - $108K
17% of jobs
$108K - $115K
6% of jobs
$115K - $122K
1% of jobs
$122K - $128.9K
1% of jobs
$52.3K
$94.4K
$128.9K
How much do causal inference jobs pay per year?
As of Jul 31, 2026, the average yearly pay for causal inference in Indiana is $94,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $103,200.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Causal Inference position, and why are they important?
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 some 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 is a Causal Inference job?
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 are the most commonly searched types of Causal Inference jobs in Indiana? The most popular types of Causal Inference jobs in Indiana are:
What are popular job titles related to Causal Inference jobs in Indiana? For Causal Inference jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Indiana look for? The top searched job categories for Causal Inference jobs in Indiana are:
Assistant Research Professor, Lucy Family Institute for Data & Society
Notre Dame, IN • On-site
Full-time
Posted yesterday
New
University Of Notre Dame rating
7.4
Based on 45 frontline employees who took The Breakroom Quiz
335th of 614 rated colleges and universities
Job description
Description
The Lucy Family Institute for Data & Society at the University of Notre Dame seeks an assistant-level research professor (non tenure-track). We prefer candidates with strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to construct ML-based regressors, and causal ML. The faculty member will be part of a new digital engagement for learning analytics research group within Lucy. As such, research experience with digital engagement measurement, online gaming analytics, and AI-enabled policy impact analysis will be beneficial. Given the policy-oriented learning translation analytics aspect of some of the research, ideal candidates will also have a robust track record of teaching excellence demonstrated through multiple years and sections of lead-instructor course delivery (with high teaching evaluations). The research faculty will be working closely with Professors Ahmed Abbasi (Director of the Institute), Rick Johnson (Associate Director of the Institute), and Sugana Chawla (Data Science Education Program Director).
The ideal candidate would have evidence of excellence in research and scholarship. The ideal candidate would have also demonstrated an interest in interdisciplinary work, as evidenced through projects or research publications.
Expectations
Qualifications
Application Instructions
Please submit a CV, a research statement, teaching statement, and three confidential letters of recommendation via Interfolio.
The Lucy Family Institute for Data & Society at the University of Notre Dame seeks an assistant-level research professor (non tenure-track). We prefer candidates with strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to construct ML-based regressors, and causal ML. The faculty member will be part of a new digital engagement for learning analytics research group within Lucy. As such, research experience with digital engagement measurement, online gaming analytics, and AI-enabled policy impact analysis will be beneficial. Given the policy-oriented learning translation analytics aspect of some of the research, ideal candidates will also have a robust track record of teaching excellence demonstrated through multiple years and sections of lead-instructor course delivery (with high teaching evaluations). The research faculty will be working closely with Professors Ahmed Abbasi (Director of the Institute), Rick Johnson (Associate Director of the Institute), and Sugana Chawla (Data Science Education Program Director).
The ideal candidate would have evidence of excellence in research and scholarship. The ideal candidate would have also demonstrated an interest in interdisciplinary work, as evidenced through projects or research publications.
Expectations
- Help establish a research program for robust measurement and causal inference in digital settings including but not limited to online video games.
- Publish in top venues, and/or pipeline evidence such as revise-and-resubmits at top academic journals (e.g., UTD-24, Economics, Science/Nature/PNAS, etc.);
- Pursue interdisciplinary research by building collaborations;
- Mentor or co-mentor graduate and undergraduate students;
- Lead and collaborate on research grants;
- Teach / co-teach courses on related topics;
Qualifications
- Requires a PhD in with methodological expertise in causal inference via econometric modeling, machine learning, analysis of digital trace and survey data, and experiment design.
- Research experience (projects, papers) related to digital engagement, online gaming telemetry data, and analysis of policy impact and implications, with a track record of experience beyond doctoral studies in the domain.
- Strong demonstrated teaching skills.
Application Instructions
Please submit a CV, a research statement, teaching statement, and three confidential letters of recommendation via Interfolio.
What University Of Notre Dame employees say
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Benefits
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Workplace
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About University of Notre Dame
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Notre Dame, IN, US
Year founded
1842