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 ...
Lead, Workforce Intelligence
Indianapolis, IN · On-site
Deep understanding of experimental design, causal inference, and computational statistics. * Communication : Exceptional skills in translating complex technical concepts for non-technical audiences ...
Lead, Workforce Intelligence
Indianapolis, IN · On-site
Deep understanding of experimental design, causal inference, and computational statistics. * Communication : Exceptional skills in translating complex technical concepts for non-technical audiences ...
Lead, Workforce Intelligence
Indianapolis, IN · On-site
Deep understanding of experimental design, causal inference, and computational statistics. * Communication : Exceptional skills in translating complex technical concepts for non-technical audiences ...
Lead, Workforce Intelligence
Indianapolis, IN · On-site
Deep understanding of experimental design, causal inference, and computational statistics. * Communication : Exceptional skills in translating complex technical concepts for non-technical audiences ...
Training in econometric and statistical techniques employed in causal inference * Statistical programming experience in Stata or R * Highly organized with ability to juggle multiple demands ...
Training in econometric and statistical techniques employed in causal inference * Statistical programming experience in Stata or R * Highly organized with ability to juggle multiple demands ...
Training in econometric and statistical techniques employed in causal inference * Statistical programming experience in Stata or R * Highly organized with ability to juggle multiple demands ...
Training in econometric and statistical techniques employed in causal inference * Statistical programming experience in Stata or R * Highly organized with ability to juggle multiple demands ...
Principal Carelon Research Biostatistician
$136K - $234K/yr
... causal inference, and experimental design preferred. * Experience supporting federally funded research programs, grant-funded studies, or academic research collaborations preferred. * Demonstrated ...
Principal Carelon Research Biostatistician
$136K - $234K/yr
... causal inference, and experimental design preferred. * Experience supporting federally funded research programs, grant-funded studies, or academic research collaborations preferred. * Demonstrated ...
Principal Carelon Research Biostatistician
Indianapolis, IN · On-site
$136K - $234K/yr
... causal inference, and experimental design preferred. * Experience supporting federally funded research programs, grant-funded studies, or academic research collaborations preferred. * Demonstrated ...
Principal Carelon Research Biostatistician
Indianapolis, IN · On-site
$136K - $234K/yr
... causal inference, and experimental design preferred. * Experience supporting federally funded research programs, grant-funded studies, or academic research collaborations preferred. * Demonstrated ...
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 ...
Senior ML Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
Strong foundation in statistical inference, econometrics, and causal analysis (e.g., regression, Bayesian methods, DiD). * Proficiency in Python, SQL , and ML frameworks (Scikit-Learn, XGBoost ...
Senior ML Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
Strong foundation in statistical inference, econometrics, and causal analysis (e.g., regression, Bayesian methods, DiD). * Proficiency in Python, SQL , and ML frameworks (Scikit-Learn, XGBoost ...
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
Indianapolis, 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
Indianapolis, 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 ...
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?
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.

Postdoctoral Fellow in Biostatistics and Health Data Science
Kokomo, IN
$42K - $58K/yr
Other
Posted 20 days ago
Job description
Key responsibilities include:
- Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines.
- Build reproducible research pipelines and maintain reliable experiment codebases (prefer Python).
- 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 reports.
The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine is the country's second largest allopathic medical school. Indianapolis consistently ranks high nationally on many of the "best places to live" lists and has an economy that is growing in the life sciences arena. In addition, it has always been one of the cities with the lowest cost of living. Carmel, Indy's northern neighbor, was recently named as the best mid-sized city in the country.
IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home to one of the largest concentrations of health sciences companies in the nation. Indianapolis has a sophisticated blend of charm and culture with a wonderful balance of business and leisure. The growing residential base is supported by rich amenities and quality of life - the city possesses a variety of professional sports, arts venues and outdoor recreation areas. Residents of this dynamic city, and surrounding suburbs, enjoy leading educational systems and top-ranked universities, paired with a diverse population. Indianapolis International Airport is a top-ranked international airport, being named "Best Airport in North America" by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation. The search will continue until the positions are filled.Â
- Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or a closely related area.
- Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP.
- Demonstrated working experience with healthcare data (e.g., EHR, clinical text, imaging, omics).
- Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases).
- Excellent written and oral communication skills, and ability to collaborate with multidisciplinary teams.
- Experience with LLMs/foundation models (e.g., clinical NLP, retrieval-augmented generation, instruction tuning) and multimodal transformers.
- Solid understanding of causal methods (e.g., propensity scores, IPW, matching) and/or causal discovery.
- Familiarity with data engineering and MLOps (e.g., SQL, Spark, Airflow, Docker, Kubernetes).
- Knowledge of responsible/ethical AI for health: fairness/equity, interpretability, robustness, privacy (e.g., differential privacy, federated learning).
- Track record of first-author publications in relevant venues and collaborative open-source contributions.