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Causal Inference Machine Learning Postdoctoral Jobs in Ohio

Icehouseventures

$102.41 - $170.69/hr

About You In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking ... Familiarity with personalization, human behavior modeling, or driver intent inference. * Experience ...

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference ...

Posted today

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference ...

Posted today

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Causal Inference Machine Learning Postdoctoral information

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.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Ohio? For Causal Inference Machine Learning Postdoctoral jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Ohio look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Ohio are:
What cities in Ohio are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Ohio with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you

Postdoctoral Scholar - Biomedical Engineering

Case Western Reserve University

Cleveland, OH • On-site

$55K - $63K/yr

Full-time

Medical, Life

Posted 19 days ago

Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

34th of 618 rated colleges and universities

Job description

Description
Postdoctoral researchers in medical image analysis. Help us create the equivalent of the screening mammogram for cardiovascular disease! We are seeking multiple postdoctoral scholars to use image processing and state-of-the-art machine/deep learning to develop a comprehensive, high-throughput CT screening exam for detecting and predicting cardiovascular diseases. Diseases include coronary artery disease, heart failure, aortic valve disease, aortic aneurysms, and more. Cardiovascular diseases are the number one cause of death in the US and the world. We are building on the unique, no-cost CT calcium score imaging program at University Hospitals of Cleveland, which has imaged>250,000 patients. Big data enables our research in extremely robust segmentation, image translation between domains, foundation modeling, multimodal risk prediction, deep-learning organ age prediction, advanced time-to-event modeling, causal data science, and more.
Case Western Reserve University's Department of Biomedical Engineering is seeking qualified candidates for postdoctoral scholar positions. This is a one-year appointment with the possibility of renewing for an additional year.
Responsibilities and Duties
• Collaborate and communicate within a multidisciplinary team of faculty, clinicians, postdoctoral researchers, graduate students, and undergraduate researchers.
• Develop image analysis approaches for detection and prediction of cardiovascular diseases.
• Write manuscripts and other reports.
• Assist with grant preparation.
Minimum Qualifications
  • Doctorate in BME, computer science. or other quantitative discipline.
  • Three or more years of experience in the analysis of images using image processing and machine/deep learning. Interest and experience in 3D biomedical imaging is a plus.
  • Excellent or improving written and oral communication skills.
  • Must be eligible to work in the United States.

Starting annual salary for Postdocs with three years of experience is $ 66,948
Review of applications will begin on August 1, 2026. To apply, please upload your CV along with a brief statement explaining why you believe you would be a good fit for our team. Applicants may be asked to provide referee contact details or reference letters during the recruitment process.
In compliance with the City of Cleveland's Pay Transparency Ordinance (effective October 27, 2025), the annual starting base salary range for this position is $55,000 - $63,480. CWRU considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. Postdocs receive individual and family healthcare benefits, life insurance, and employee assistance.
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age, and genetic information.
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applications requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216.368.3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.

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