To conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues and to develop computational frameworks for organoid quality assessment at the Standardized Organoid Model Center
Requirements
- PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field
- extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms
- strong programming skills in R and Python
- experience in statistical analysis and data visualization
- knowledge of proteomics and metabolomics data analysis workflows
Responsibilities
- analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts
- develop and implement computational pipelines for data processing, quality control, and statistical analysis
- integrate SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles
- collaborate with experimental teams to interpret results and guide protocol optimization
- contribute to manuscript preparation and present findings at scientific conferences
Other
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
