23 machine-learning-phd Fellowship positions at Center for Drug Evaluation and Research (CDER) in United States

FDA Machine Learning Precision Medicine Fellowship

the clinical outcome after treatment. This project will use machine learning to predict clinical outcomes based on baseline patient factors, and therefore help to find the right drug at the right dose for each

FDA Modeling and Simulation Fellowships

of artificial intelligence (AI), machine learning (ML) and large language models (LLMs) to promote business intelligence in the Agency (e.g., interactive AI expert systems). Integration of AI/ML models with

Applying Large Language Models (LLM) in Drug Safety Reviews Fellowship

metrics. The performance of LLMs will be analyzed against the gold standards generated by FDA reviewers. This project will be conducted in collaboration with AI subject matter experts at NCTR/FDA. Learning

FDA Fellowship Safety and Efficacy of the Emerging Therapeutic Secretory IgA

receptor, FCRL3, on human T cells. The goal of this research project is identification of functionally relevant proteins and cytokines that could result in adverse reactions. Learning Objectives: Under

CDER Fellowship in Natural History for Rare Pediatric Viral Disease

. Learning Objectives: Under the guidance of the mentor, the participant will; gain experience with the format and structure of Real-World datasets, build on prior skills with database formation and data

FDA Fellowship in Comparative Gaps Analysis in Sickle Cell Disease

at CDC SCDC. Learning Objectives: Under the guidance of the mentor, the participant will learn to create a SCD clinical trial database with available data, compare and define critical gaps between clinical

FDA Bioinformatics Fellowship

to leverage electronic SEND datasets to improve both the thoroughness and efficiency of their review process. Learning Objectives: Under the guidance of a mentor, the participant will be trained

FDA Near Real Time Surveillance of the Overdose Crisis Fellowship

with quantitative laboratory analyses. Learning Objectives: Under the guidance of the mentor the participant will evaluate cases to assess for opioid withdrawal or unmasked stimulant toxicity

FDA Fellowship in Optimizing Drug Dosing in Geriatric Populations

guide for proposing effective and safe drug dosages for older adults in drug labeling. Learning Objectives: Under the guidance of a mentor, the participant will be trained in database development

FDA Development of Cell-based Bioassays Postdoctoral Fellowship

mouse models. Learning Objectives: The participant will be trained in classical molecular biology, cell biology and immunology by developing cell-based bioassays. Under the guidance of the mentor