Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

US Food and Drug Administration

FDA Fellowship in Applied Regulatory Science in Bioinformatics and Omics Biomarker Discovery U.S. Food and Drug Administration (FDA) in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Monthly stipend commensurate with educational level and experience; appointment initially for one year and may be renewed subject to FDA recommendation and availability of funds.

Deadline

Dec 11, 2026

Country flag

Country

United States

University

US Food and Drug Administration

Apply for this position

Keywords

Computer Science
Biomarker Research
Biostatistics
Biology
Network Analysis
Medical Science
Data Visualization
Salud Pública
Multivariate Analysis
Regulatory Science
Pathway Analysis
Statistics
Bioinformatic
ML

Suggested positions

Publisher
source

The Ohio State University

Country flag

United States

This postdoctoral scholar position is based in the Center for Biostatistics at The Ohio State University and is designed for specialized research training, education, and experience under the guidance of a center-affiliated scientific mentor. The role centers on developing and applying longitudinal, survival, and joint longitudinal-survival models to study disease progression, changing risk, and clinically relevant outcomes. The scholar will also build reproducible computational pipelines that i...

Computer Science
Epidemiology
Biomarker Research
+11 more

5 days ago

Publisher
source

US Food and Drug Administration

Country flag

United States

This postdoctoral fellowship is based at the U.S. Food and Drug Administration’s National Center for Toxicological Research in Jefferson, Arkansas, within a multidisciplinary Division of Biochemical Toxicology research program. The project focuses on the mechanistic basis of cannabidiol (CBD)-induced male reproductive toxicity in mice and supports FDA’s regulatory evaluation of CBD-containing products. The fellow will work primarily with RNA sequencing data , using bioinformatics workflows to id...

Computer Science
Chemistry
Biology
+9 more

6 days ago

Publisher
source

Duke University

Country flag

United States

Postdoctoral Associate at Duke University supporting a recently funded project on kidney health in study cohorts from Sri Lanka. The project has already completed its field-based work, and the biological specimens are now being transferred to Duke for laboratory processing and analysis. The postdoctoral researcher will work with human urine and blood samples, carrying out specimen preparation and molecular analyses that support biomarker discovery and validation in kidney injury and function. Th...

Computer Science
Biomarker Research
Biology
+9 more

6 days 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

3 weeks ago

Publisher
source

US Food and Drug Administration

Country flag

United States

This research opportunity is offered by the U.S. Food and Drug Administration (FDA), Center for Drug Evaluation and Research (CDER), in Silver Spring, Maryland. The project is centered on pharmacodynamic biomarkers and their growing role in drug development and regulatory decision-making. The selected participant will examine how pharmacodynamic biomarkers are being used in the evaluation of new drugs, including target engagement, dose selection, patient selection, safety monitoring, exposure-re...

Computer Science
Biology
Medical Science
+5 more

4 days ago

About this position

This FDA fellowship is based in the Division of Applied Regulatory Science within the Office of Clinical Pharmacology, Office of Translational Sciences, at the Center for Drug Evaluation and Research in Silver Spring, Maryland. The project sits at the intersection of bioinformatics, biostatistics, and regulatory science, with a focus on using large-scale omics data to advance biomarker discovery for drug development and review.

The fellow will work on statistical analysis of omics datasets generated from biospecimens drawn from clinical trials or well-characterized cohorts. The research aims to identify biomarkers related to disease expression, disease severity, progression, and therapeutic response, and to evaluate molecular signatures that may support regulatory decision-making. Methods mentioned include differential expression analysis, multivariate and systems-level analysis, pathway and network analysis, correlation analysis, data visualization, and statistical modeling.

The opportunity is embedded in a regulatory research environment that seeks to move new science into the review process and bridge scientific innovation with medical product evaluation. The work is intended to support the development of qualified regulatory tools and standardized endpoints, while contributing to the assessment of innovative omics technologies. The fellowship also includes literature review and manuscript preparation as part of dissemination of the research.

The mentor for this opportunity is Paula Hyland at the FDA.

Funding details

Monthly stipend commensurate with educational level and experience; appointment initially for one year and may be renewed subject to FDA recommendation and availability of funds.

What's required

The candidate should be currently pursuing or have received a doctoral degree in a relevant field such as molecular biology, cell biology, genetics or genomics, biomedical sciences, pharmaceutical sciences, bioinformatics, biostatistics, or a closely related discipline. Preferred skills include statistical analysis methods such as differential expression analysis, multivariate statistics, and correction for multiple comparisons (for example Bonferroni, Benjamini-Hochberg, and FDR); experience with one or more omics data types including proteomics, genomics, transcriptomics, metabolomics, or epigenomics; working knowledge of R and Python and data visualization tools; familiarity with pathway analysis methods; experience with quality control procedures for high-throughput biological data; and knowledge of data mining approaches for biomarker discovery with ability to interpret findings biologically. Strong teamwork, organizational, communication, time-management, multitasking, prioritization, and independent/collaborative working skills are also preferred.

How to apply

Scroll to the bottom of the opportunity and click APPLY. Submit an application, transcripts, a current resume/CV, and one educational or professional recommendation. If you have questions, email [email protected] and include the reference code FDA-CDER-2026-0186.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.