Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Indiana University
- University of Michigan
- Zintellect
- Nature Careers
- Johns Hopkins University
- University of Maryland, Baltimore
- City of Hope
- University of Texas at Austin
- Center for Drug Evaluation and Research (CDER)
- University of California
- University of Michigan - Ann Arbor
- Auburn University
- Brandeis University
- Center for Devices and Radiological Health (CDRH)
- Dana-Farber Cancer Institute
- The University of Alabama
- University of Idaho
- Villanova University
- AbbVie
- Amgen
- Barnard College
- Carnegie Mellon University
- Florida Atlantic University
- George Mason University
- Lawrence Berkeley National Laboratory
- Marquette University
- Northeastern University
- Saint Louis University
- Texas Christian University
- The University of Memphis
- University of California, San Francisco
- University of Cincinnati
- University of Colorado
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Rhode Island
- University of South Carolina
- 28 more »
- « less
-
Field
-
doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative and statistical skills, with proficiency in R or Python Experience working with
-
and statistical skills, with proficiency in R or Python Experience working with longitudinal data, infectious disease epidemiology, or high-dimensional datasets Demonstrated track record of peer
-
in collaborative research projects. Publish manuscripts in peer-reviewed journals. Experience with mass spectrometry (especially DIA) and proteomics applications. Strong programming skills (Python
-
systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
-
-on experiences in software design and implementation using Python, C/C++, and Matlab, under Windows and Linux environment, Strong communication skills, and ability to work independently and with
-
, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
-
interpret research datasets, drawing meaningful conclusions using appropriate statistical methods and scientific reasoning. Develop and optimize computational pipelines, scripts, and workflows using Python
-
electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition
-
Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital content. This work will help BSA detect trends, measure impact
-
Fellow will strengthen our analytic capabilities by using Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital