Image Data Scientist
Med-Medicine - Pennsylvania-Pittsburgh - (26002845)
Overall lab summary
Our research group operates at the intersection of data science and vascular medicine within the highly interdisciplinary environment of the Vascular Medicine Institute (VMI). We are dedicated to bridging the gap between "big data" and clinical application, combining computational innovation with experimental and clinical collaboration. By integrating multi-modal datasets, we strive to uncover the molecular and physiological drivers of cardiovascular disease, creating a unique space where novel computational hypotheses can be directly tested and validated by our experimental partners. Sponsorship for H1Bs visa within the US will be considered.
Job Duties
• Harmonization and analysis of image-derived phenotypes across different imaging modalities, including MRI, CT, and echocardiography.
• Development of machine/deep learning platforms to predict AS-related risk from multimodal features including genetics, proteomics, and metabolomics.
• Identification of molecular factors to explain population risk heterogeneity
• Utilize computational tools for preventive drug prediction.
Job Summary
Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols.
Essential Functions
• Clinical image analysis
• Statistical learning
• Large-scale population data analysis
• Familiarity with omics data is a plus
Physical Effort
Mostly sedentary but could require movements between university labs or offices.
Assignment Category: Full-time regular
Job Classification: Staff.Data Scientist II
Job Family: Research
Job Sub Family: Data Science
Campus: Pittsburgh
Minimum Education Level Required: Master's Degree
Minimum Years of Experience Required: 3
Will this position accept substitution in lieu of education or experience: Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.
Work Schedule: mon-friday standard
Work Arrangement: Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range: To be determined based on qualifications
Relocation_Offered: No
Visa Sponsorship Provided: Yes
Background Check: For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances: Not Applicable
Required Documents: Resume, Cover Letter
Optional Documents: Not Applicable
PI284401088