What are the responsibilities and job description for the Research Analyst - Dept. of Biostatistics position at Commonwealth of VA Careers?
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The Biostatistics Department at the School of Public Health at Virginia Commonwealth University (VCU) and Massey Comprehensive Cancer Center (MCC) invites applications for a Research Analyst Position in the development of machine learning and computational algorithms for the analysis of multiplex image-based single-cell spatial biology datasets. This role offers an exciting opportunity to engage in cutting-edge AI research at the forefront of spatial biology, working closely with a multi-institution research team. Key collaborators include Dr. Jinze Liu at VCU, specializing in Computational Genomics; Dr. Yifan Pan at Weill Cornell Medicine, with expertise in Natural Language Processing (NLP) and Imaging; and Dr. Kevin Matthew Byrd at the University of North Carolina at Chapel Hill, focusing on Pathology and Single Cell Spatial Omics.
The successful candidate will contribute to advancing the field of spatial biology through the development and implementation of innovative machine learning and computational algorithms tailored to the analysis of complex single-cell spatial datasets. Collaboration with experts in genomics, imaging, pathology, and omics data analysis will provide a rich interdisciplinary environment for research and learning.
Position Summary:
As a research analyst, the candidate will lead and drive spatial (multi-)omics method development and play a crucial role in methodology innovation and data interpretation. He/She will have the opportunity to contribute to cutting-edge research developing scalable image and/or graph-based deep learning capable of identifying disease biomarkers for patient stratification and precision medicine. He/she will work closely with a collaborative team of researchers with expertises in computer science, biostatistics and cancer biology to develop novel methodologies and algorithms aimed at unraveling the complexities of single-cell spatial biology datasets and elucidating its impact on disease diagnosis and therapeutic options.
Responsibilities:
The Biostatistics Department at the School of Public Health at Virginia Commonwealth University (VCU) and Massey Comprehensive Cancer Center (MCC) invites applications for a Research Analyst Position in the development of machine learning and computational algorithms for the analysis of multiplex image-based single-cell spatial biology datasets. This role offers an exciting opportunity to engage in cutting-edge AI research at the forefront of spatial biology, working closely with a multi-institution research team. Key collaborators include Dr. Jinze Liu at VCU, specializing in Computational Genomics; Dr. Yifan Pan at Weill Cornell Medicine, with expertise in Natural Language Processing (NLP) and Imaging; and Dr. Kevin Matthew Byrd at the University of North Carolina at Chapel Hill, focusing on Pathology and Single Cell Spatial Omics.
The successful candidate will contribute to advancing the field of spatial biology through the development and implementation of innovative machine learning and computational algorithms tailored to the analysis of complex single-cell spatial datasets. Collaboration with experts in genomics, imaging, pathology, and omics data analysis will provide a rich interdisciplinary environment for research and learning.
Position Summary:
As a research analyst, the candidate will lead and drive spatial (multi-)omics method development and play a crucial role in methodology innovation and data interpretation. He/She will have the opportunity to contribute to cutting-edge research developing scalable image and/or graph-based deep learning capable of identifying disease biomarkers for patient stratification and precision medicine. He/she will work closely with a collaborative team of researchers with expertises in computer science, biostatistics and cancer biology to develop novel methodologies and algorithms aimed at unraveling the complexities of single-cell spatial biology datasets and elucidating its impact on disease diagnosis and therapeutic options.
Responsibilities:
- Develop computational and machine learning algorithms tailored to analyze multiplex image-based single-cell spatial biology datasets
- Collaborate with interdisciplinary teams to integrate computational methods with biological insights
- Publish findings in peer-reviewed journals and present at conferences
- Mentor graduate and undergraduate students
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