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$61K

How much do causal inference machine learning postdoctoral jobs pay per year?

As of Jul 14, 2026, the average yearly pay for causal inference machine learning postdoctoral in the United States is $54,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $56,500.00 per year, depending on experience, location, and employer.

What is a Causal Inference Machine Learning Postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a Causal Inference Machine Learning Postdoctoral researcher, and why are they important?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by Causal Inference Machine Learning Postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

More about Causal Inference Machine Learning Postdoctoral jobs
What cities are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities with the most Causal Inference Machine Learning Postdoctoral job openings:
What states have the most Causal Inference Machine Learning Postdoctoral jobs? States with the most job openings for Causal Inference Machine Learning Postdoctoral jobs include:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs are:
Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 84% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $54,223 per year, or $26.1 per hour.
Post Doctoral Fellow - Researcher in Causal Inference

Post Doctoral Fellow - Researcher in Causal Inference

Emory University

Atlanta, GA • On-site

$47K - $64K/yr

Full-time

Posted 10 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

157th of 884 rated healthcare providers

Job description

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

Description

The Department of Biostatistics and Bioinformatics in the Rollins School of Public Health provides a supportive environment for postdoctoral scholars, offering access to mentoring, career development programming, and resources for professional growth. The postdoctoral researcher will have flexibility to develop their own research directions while benefiting from collaboration, computational support, and opportunities to participate in departmental seminars, working groups, and interdisciplinary research activities. This position is well suited for individuals preparing for academic careers in statistics, biostatistics, machine learning, or related fields. The postdoctoral researcher will be supervised by Dr. Razieh Nabi. For inquiries, please contact razieh.nabi@emory.edu . 

JOB DESCRIPTION: We are seeking a Postdoctoral Researcher to contribute to both methodological and applied research in causal inference. The successful candidate will work on statistical and machine learning approaches for understanding causal relationships in complex data, with opportunities to pursue independent research as well as collaborative projects within the group.The position emphasizes methodological innovation in modern causal inference, while also engaging with applications in areas such as infectious diseases, environmental health, and public health that help motivate and shape the research. Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data. Methodological work may draw on tools from nonparametric and semiparametric inference, machine learning, graphical models, and related areas. The researcher will have flexibility to develop a research agenda that aligns with their interests and expertise.Responsibilities include conducting original research, preparing manuscripts for publication, presenting findings at conferences or seminars, and participating in collaborative activities within the research group or with external partners. The postdoc will also have opportunities to mentor students and to engage in broader scholarly activities that support their professional development.This position is well suited for a researcher interested in advancing the theory or practice of causal inference, building a strong publication record, and working in a supportive and collaborative academic environment.MINIMUM QUALIFICATIONS:

  • A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
  • Excellent scientific writing ability and strong oral communication skills.
  • The ability to work effectively and collegially with colleagues.
  • Additional qualifications as specified by the Principal Investigator.

PREFERRED QUALIFICATIONS: 

  • PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field.
  • Strong background in causal inference, statistical methodology, or machine learning.
  • Experience with nonparametric or semiparametric inference, graphical models, or high dimensional methods.
  • Familiarity with handling missing data, censoring, or longitudinal/observational data.
  • Demonstrated ability to conduct independent research and contribute to collaborative projects.
  • Strong programming skills, and experience with reproducible research.
  • Strong communication skills and a record of (or potential for) peer reviewed publications.

NOTE: Position tasks are generally required to be performed in-person at an Emory University location.  Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Employment Type: FULL_TIME

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