Administrative Assistant/Community Navigator at GMHC connecting individuals to legal and social services. Conducting comprehensive screenings and maintaining accurate client records in a supportive environment.
AI
Hybrid Scientist I – Integrative Analysis, SEA-AD, Community Multiomics Datasets
Posted last week
About the role
- Collaborate with SEA-AD and SEA-AD IAC members and outside investigators to ensure community multiomic datasets are re-processed, their metadata is harmonized, and relevant secondary data types are obtained (e.g. whole genome sequencing, nuclear imaging, or blood based biomarkers)
- Adapt existing or develop novel computational tools to rigorously quantify changes in cell types in Alzheimers disease across community datasets
- Associate gene expression and chromatin accessibility changes with relevant and available donor metadata or secondary data types
- Compare cell type changes across disease progression between studies regions to identify common early changes that may inform biomarkers
- Interact with scientists from diverse backgrounds and perspectives to design analytical approaches and refine computational strategies
- Work with experimental scientists to design experiments to validate predictions of disease function
- Participate in a highly interactive and multidisciplinary environment
- Publish and present findings in peer-reviewed journals and scientific conferences
Requirements
- Ph.D. in Neuroscience, Computational Neuroscience, Computer Science, Applied Math, or related field; or equivalent combination of degree and experience
- Fluency programming in Python in high performance computing
- Fluency with version control systems (e.g. Git/Github)
- Familiarity with analysis of RNA-sequencing or related data types
- Experience with modeling disease or developmental trajectories, or related computational studies (preferred)
- Additional experience in computational analysis and statistical assessment of biological datasets in other modalities such as spatial statistics, ATAC-seq analysis, computational anatomy, or related fields (preferred)
- Previous work on studying Alzheimers disease or other neurodegenerative diseases (preferred)
- Familiarity with additional programming languages (e.g., R) (preferred)
- Experience with GPU-based deep learning (preferred)
- Ability to work effectively in a highly collaborative environment
- Strong written and verbal communication skills
- Ability to work independently and collaboratively
- Strong publication track record
Benefits
- Medical, dental, vision, and basic life insurance
- 401k plan
- Paid time off
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