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Causal Inference Machine Learning Postdoctoral Jobs in Newport, KY

Orion

Senior Privacy & AI Risk Analyst

Cincinnati, OH · Hybrid

Understands core AI and machine-learning concepts and the associated data-privacy risks, such as the use of personal information in training and inference, profiling, and transparency * Has a minimum ...

TQL

AI Architect

Cincinnati, OH

$60.50 - $79.50/hr

Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ... Lead solution designs for AI platforms including vector databases, embedding pipelines, inference ...

Total Quality Logistics

AI Architect

Cincinnati, OH · On-site

Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ... Lead solution designs for AI platforms including vector databases, embedding pipelines, inference ...

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All JobsCausal Inference Machine Learning Postdoctoral JobsCausal Inference Machine Learning Postdoctoral Jobs in Newport, KY

Causal Inference Machine Learning Postdoctoral information

See Newport, KY salary details

$34.6K

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$59.5K

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

As of Aug 5, 2026, the average yearly pay for causal inference machine learning postdoctoral in Newport, KY is $52,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $55,100.00 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?

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.

Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Newport, KY as of July 2026, with employment types broken down into 3% Locum Tenens, 87% Full Time, 9% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $52,877 per year, or $25.4 per hour.

POSTDOCTORAL RESEARCH FELLOW (Miraldi) - Computational Immunobiology

Cincinnati Children's

Cincinnati, OH • On-site

Full-time

Re-posted 7 days ago

Cincinnati Children's Hospital Medical Center rating

7.4

Company rating: 7.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

340th of 1,054 rated hospitals

Job description

Dr. Miraldi's Immuno-Engineering Laboratory seeks a computational research fellow to build mathematical models of the immune system in vivo. These models will be constructed from cutting-edge, high-dimensional, immune-system measurements (e.g., single-cell genomics, chromatin state, proteomics). Our mathematical modeling frameworks span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati Children's Hospital, we are dedicated to the design of computational methods and systems-immunology studies that will ultimately improve the health of children. Through close collaboration with our physician and experimental colleagues, we iteratively test and refine our models, so that the models yield novel insights into immune-cell function and ultimately guide new therapeutic strategies in the context of autoimmunity, infectious disease and cancer. The ideal candidate will collaborate closely with experimental immunologists, physicians and other computational biologists. The team will design and execute hybrid computational-experimental strategies that push the boundaries of both immunology and computational biology.
MAJOR DUTIES AND RESPONSIBILITIES:
  • Design, execute, and record laboratory experiments, and analyze the data.
  • Research and improve current methods and evaluate innovative techniques. Implement this knowledge in the Division/Department.
  • Present research at laboratory meetings, journal clubs, seminars, and meetings.
  • Draft, write, and edit scientific reports, papers, journal articles, abstracts, and grants.
  • Maintain currency in field through continuing education, literature, and seminars.
  • Attend required Cincinnati Children's training sessions and ensure regulatory compliance with all policies and procedures.
  • Perform other duties as assigned.

Qualifications - External
Required:
• Ph.D. in related discipline, MD, or equivalent degree
Preferred:
The ideal candidate will have a quantitative background in computational/systems biology, engineering, computer science, statistics, math, or a related field. He or she will also (1) be a fluent programmer in at least one language (e.g., Python, R, MATLAB) and be willing to develop fluency in other languages, as needed, (2) have research experience in machine learning, bioinformatics and/or mathematical modeling, and (3) a trackable publication record. An enthusiasm and willingness to develop immunology expertise on the job is also necessary.
Primary Location
Location S
Schedule
Full time
Shift
Day (United States of America)
Department
Immunobiology
Employee Status
Regular
FTE
1
Weekly Hours
40
About Us
At Cincinnati Children's, we come to work with one goal: to make children's health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children's.
Cincinnati Children's is:
  • Recognized by U.S. News & World Report as a top 10best Children's Hospitals in the nation for more than 15 years
  • Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
  • Recognized as one of America's Best Large Employers (2025), America's Best Employers for New Grads (2025)
  • One of the nation's America's Most Innovative Companies as noted by Fortune
  • Consistently certified as great place to work
  • A Leading Disability Employer as noted by the National Organization on Disability
  • Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)

We Embrace Innovation-Together. We believe in empowering our teams with the tools that help us work smarter and care better. That's why we support the responsible use of artificial intelligence. By encouraging innovation, we're creating space for new ideas, better outcomes, and a stronger future-for all of us.
Comprehensive job description provided upon request.
Cincinnati Children's is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability

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About Cincinnati Children's Hospital Medical Center

Sourced by ZipRecruiter

Cincinnati Children's Hospital Medical Center, located in Cincinnati, OH, US, is a premier pediatric hospital renowned for its exceptional clinical services, research programs, and medical education. The healthcare institution, founded in 1883, holds a sterling reputation in the industry, with a mission to improve child health and transform delivery of care through fully integrated, globally recognized research, education and innovation. As one of the oldest and most distinguished pediatric hospitals in the United States, Cincinnati Children's continues to offer a broad range of high-quality, compassionate care to children in the community and around the globe. As a testament to its dedication, it has consistently been ranked among the top three US pediatric hospitals by U.S. News & World Report.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1883

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