''448598'',''true'',''448598'',''false'',''Submission for the position: Research Scientist - (Job Number: 26004131)'',''false'',''448598'',''false'',''true'',''Research Scientist'',''Med-Medicine'',''Pennsylvania-Pittsburgh'',''26004131'',''!*!
Overall Lab Summary
Our research group operates at the intersection of computational biology, systems medicine, and translational science within the Vascular Medicine Institute (VMI). We focus on integrating large-scale omics data with mechanistic modeling to uncover systemic drivers of disease. This project provides a unique opportunity to work on NASA spaceflight data while developing broadly applicable frameworks for understanding organ dysfunction and therapeutic intervention.
Job Duties
'','''',''!*!
Conducts independent scientific research projects from inception to presentation. Prepares and crafts various documentations of research results into manuscripts, proposals, grant applications, and presentations. Trains undergraduates and research technicians. Manages laboratory policies and coordinates project development in collaboration with other specialists.
'',''!*!
Conducts independent scientific research projects from inception to presentation. Prepares and crafts various documentations of research results into manuscripts, proposals, grant applications, and presentations. Trains undergraduates and research technicians. Manages laboratory policies and coordinates project development in collaboration with other specialists.
'','''',''!*!
PhD-level knowledge in computational biology, bioinformatics, systems biology, data science, or a related field.
Strong experience in transcriptomic data analysis, experience with spatial transcriptomics is a plus.
Demonstrated expertise in statistical learning or machine learning.
Experience with network biology, pathway analysis, or gene regulatory network inference.
Ability to work independently on complex, interdisciplinary projects.
'',''!*!
PhD-level knowledge in computational biology, bioinformatics, systems biology, data science, or a related field.
Strong experience in transcriptomic data analysis, experience with spatial transcriptomics is a plus.
Demonstrated expertise in statistical learning or machine learning.
Experience with network biology, pathway analysis, or gene regulatory network inference.
Ability to work independently on complex, interdisciplinary projects.
'',''!*!
Position is hybrid. Must be able to move between VMI offices and labs as needed. Most sedentary.
'',''!*!
Position is hybrid. Must be able to move between VMI offices and labs as needed. Most sedentary.
'',''!*!
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
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