32 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at Center for Drug Evaluation and Research (CDER)

FDA Enhancing the Review of Mediation Analyses: Developing a Regulatory Checklist and AI Support Tool

Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 8 days ago

—an international consensus guideline that promotes transparency and reproducibility in mediation analyses (JAMA 2021;326(11):1045–1056; https://jamanetwork.com/journals/jama/fullarticle/2784353 )—as the

FDA Properties of Bayesian Hierarchical Model Estimators of Subgroup Treatment Effects

Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago

familiar with CDER research areas and develop interest in future careers related to the FDA's public health mission. Support includes access to an FDA-issued computer with required software and weekly mentor

FDA Application of Quantitative Approaches to Streamline Drug Development and Enhance Patient Care

Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago

and streamline clinical development program, contributing to precision medicine. Learning Objectives: The project provides training opportunities to understand quantitative approaches that can be

FDA Evaluating Consumer Study Regulatory Review Approaches for Applications with Novel Digital Technologies

Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago

science research design and data analysis within a regulatory context. Learning Objectives: There will be structured weekly meetings with the mentor (the deputy division director in DNPD II) and co-mentor

FDA Advanced Evaluation of Postmarket Product Quality Reports

Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days ago

detection.  Through utilizing appropriate platforms and applying modern statistical approaches, such as data mining, natural language processing and deep learning, complex data and large data can be studied

FDA Bayesian Statistical Approaches to Address the Unique Challenges of Rare Disease Drug Development

Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago

the unique challenges of rare disease drug development. Educational activities will include mentorship from FDA biostatisticians, participation in cross-functional team meetings, and structured learning

FDA Characterization of Topical Spray Drug Products

Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | 4 days ago

to support regulatory activities. The participant will also learn to characterize physical characteristics of aerosol spray products using instrumentation such as laser diffraction, high-speed imaging, cascade

FDA Review of Pediatric Extrapolation and Dosage Optimization

Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago

. Overall, this project will support the Agency’s efforts to advance pediatric oncology drug development through enhanced clinical pharmacology evaluation. Learning Objectives: During the appointment, you

FDA Risk Assessment of Contaminants for Supply Chain Risks

Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days ago

contamination as a risk analysis template, You will contribute to research and map drug products with potential supply chain risks. Learning from and collaborating with a team, you will investigate other

FDA Studying the Critical Quality Attributes of Multispecific Antibodies/Fusion Proteins (SARITA 4400)

Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago

trispecific fusion proteins. Using breast and ovarian cancer cell models, you will help develop bioassays to evaluate and improve the quality, safety, and anti-tumor activity of FDA-regulated products. Learning