Publisher
source

Indiana University

Just Landed

Postdoctoral Fellow in Biostatistics and Health Data Science: Multimodal and Causal AI for Healthcare Indiana University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

United States

University

Indiana University

Apply for this position

Keywords

Computer Science
Data Science
Biostatistics
Causal Inference
Multimodal Analysis
Statistics
Bioinformatic
ML

Suggested positions

Publisher
source

Karthika Mohan

Oregon State University

Country flag

United States

Oregon State University is advertising a PhD student opening in AI and causal inference with Computer Science as the main academic home. The position is announced by Karthika Mohan , Assistant Professor of Computer Science, who states that she is recruiting for this admissions cycle. The research focus is on the intersection of artificial intelligence and causal inference , making this a good fit for applicants with interests in machine learning, data-driven reasoning, model interpretability, an...

Computer Science
Artificial Intelligence
Causal Inference
+2 more

1 week ago

Publisher
source

Fred Hutch Cancer Center

Country flag

United States

The Kuznets-Speck Lab at Fred Hutchinson Cancer Center is hiring a Postdoctoral Fellow to develop statistical and machine learning methods for omics and single-cell data . This is an interdisciplinary research opportunity in the Biostatistics Program at Fred Hutch, with strong mentorship and a hybrid work option mentioned in the post. The role is well suited to candidates interested in modern data science methods for biomedical research, especially in high-dimensional biological datasets. Resear...

Computer Science
Data Science
Biomedical Engineering
+5 more

3 weeks ago

Publisher
source

Baylor College of Medicine

Country flag

United States

Postdoctoral Associate opportunity at Baylor College of Medicine in the Translational Imaging Group (TIGR), Division of Radiology, located onsite in Houston, Texas, United States. This postdoctoral opening focuses on translational imaging , artificial intelligence , machine learning , natural language processing , biomedical informatics , clinical informatics , and medical imaging . The lab seeks a researcher to integrate preclinical and clinical data, develop algorithms, curate and analyze high...

Computer Science
Data Science
Biomedical Engineering
+10 more

1 week ago

Publisher
source

Sandia Biotech, Inc

Country flag

United States

Sandia National Laboratories is accepting applications for the S. Scott Collis Fellowship in Data Science , a postdoctoral opportunity focused on cutting-edge data science research with real-world impact. The post highlights an engaging research environment and suggests work at the intersection of computational analysis, statistics, and applied data-driven methods. This is a strong fit for candidates with interests in Computer Science , Statistics , Mathematics , and related quantitative fields....

Computer Science
Data Science
Information Technology
+3 more

1 month ago

Publisher
source

Yale University

Country flag

United States

Yale University is advertising a Postdoctoral Associate in Gerontologic Biostatistics in the Department of Internal Medicine, Section of Geriatrics, and the Department of Biostatistics at the Yale School of Public Health. The position is mentored by Dr. Heather Allore and Dr. Fan Li , with additional mentorship from collaborators at Brown University and NYU School of Medicine. The research focuses on biostatistics , causal inference , machine learning , pragmatic trials , and methods for studyin...

Computer Science
Biostatistics
Biology
+7 more

2 weeks ago

About this position

Indiana University School of Medicine is seeking a Postdoctoral Fellow in Biostatistics and Health Data Science to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis, and causal AI.

The fellow will lead original research involving diverse healthcare data, including electronic health records, medical imaging, omics, physiological signals, and clinical notes. The work will focus on developing, implementing, and rigorously evaluating algorithms and complete research pipelines for multimodal learning, time-series modeling, natural language processing, causal inference, causal discovery, and counterfactual reasoning.

The position offers an opportunity to develop deployable and trustworthy methods that can improve patient outcomes and health-system operations. Research will also involve translating computational methods into real-world clinical workflows, building reproducible codebases, and contributing to grant proposals and research reports.

The fellow will join the Biostatistics and Health Data Science Department at the Indiana University School of Medicine’s Indianapolis campus. The department includes faculty and professional staff working across biostatistical, health data science, biomedical informatics, and related research areas. The research environment is highly interdisciplinary, with collaboration among computer scientists, biomedical informaticians, clinicians, and public health researchers.

Collaborative partners include IU Health, Eskenazi Hospitals, the Regenstrief Institute, the Center for Computational Biology and Bioinformatics, the Indiana Clinical and Translational Science Institute, the Indiana University Simon Comprehensive Cancer Center, the Indiana Institute of Biomedical Research, and the Indiana Alzheimer’s Disease Research Center.

The department’s research setting combines methodological development with clinical and health-system applications, providing opportunities to work on responsible artificial intelligence, multimodal healthcare analytics, and causal methods in partnership with major medical and research institutions.

Funding details

Available

What's required

Applicants must have a Ph.D. by the start date in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or a closely related area. Required qualifications include a strong foundation in machine learning and deep learning; expertise in at least one of multimodal learning, time-series modeling, or natural language processing; demonstrated experience with healthcare data such as electronic health records, clinical text, imaging, omics, or physiological signals; proficiency in Python and machine-learning tools such as PyTorch and scikit-learn; experience with Git and experiment tracking tools such as Weights & Biases; excellent written and oral communication skills; and the ability to collaborate with multidisciplinary teams. Preferred qualifications include experience with large language models or foundation models, multimodal transformers, causal methods or causal discovery, data engineering and MLOps tools, responsible and ethical AI for health, first-author publications in relevant venues, and collaborative open-source contributions. Required application documents are a curriculum vitae, letter of application, and list of references.

How to apply

Apply through the Indiana University PeopleAdmin posting at https://indiana.peopleadmin.com/postings/34978. Submit a curriculum vitae, letter of application, and list of references. The search continues until the positions are filled.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.