Staff Associate I

We are seeking a Staff Associate I to join our research team focused on Alzheimer's disease (AD) genetics and functional genomics. The successful candidate will be involved in analyzing data from a multi-ancestry, multi-omics QTL (xQTL) project aimed at uncovering genetic regulations and etiologies underlying AD.

Responsibilities:

1. Data Analysis and Integration:

• Conduct comprehensive analyses of whole-genome sequence (WGS), single-nuclei RNA sequencing (snRNAseq), RNAseq, snATACseq, proteomics and other omics data / biomarkers across diverse populations and tissue types.
• Perform advanced QTL mapping to identify and characterize xQTL, including eQTL, pQTL, and other novel QTL types, under cell type, ancestry, and context-specific conditions.

2. Functional Annotation and Quality Control:

• Annotate and interpret genetic variants, focusing on non-coding regions and their regulatory functions in AD-related pathways.
• Implement rigorous quality control measures to ensure the accuracy and reliability of genomic data.

3. Collaborative Research and Methodology Development:

• Collaborate with a multidisciplinary team, including computational biologists, neurologists, and geneticists, to develop and apply novel computational methods for xQTL and GWAS integration.
• Contribute to the development of new analytical approaches to address challenges such as missing heritability and missing regulation in genetic studies.

4. Resource Development and Sharing:

• Participate in the creation and maintenance of a comprehensive xQTL atlas, integrating data from various cohorts and tissue types.
• Engage in collaborative efforts to share data and findings with the broader research community, supporting resource distribution and 'omics data analysis training.

Bachelor's degree in specific research field and 4 years experience preferred.