- 
                
                
                structural biology to tackle challenging scientific questions. Your responsibilities will include, but are not limited to: Multi-omics analysis of bulk and single-cell sequencing data. Developing deep learning 
- 
                
                
                challenges, including data analysis, hypothesis generation, and experimental design optimization. We seek a highly motivated postdoctoral candidate with expertise in AI, machine learning, and computational 
- 
                
                
                of bioinformatics and computational analysis. To learn more about the Dey Lab, please visit the link below: https://www.gene.com/scientists/our-scientists/anwesha-dey The expected salary range for this position based 
- 
                
                
                The Position We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in Aviv Regev’s lab to apply develop edge algorithms for analysis of single cell genomics profiles 
- 
                
                
                field; or a Ph.D. in (Molecular) Biology or Immunology with in-depth experience in high-throughput data analysis evidenced by publications. ● You have experience with single-cell and multi-omic data 
- 
                
                
                , attribution packages: shap, captum, etc. Experience with bulk and/or single-cell omics data analysis (e.g. bulk genomics and transcriptomics, single-cell RNA-seq, Perturb-seq) Demonstrated ability to clearly 
- 
                
                
                . Experienced with human genetics analyses and interpretation (ex. GWAS, rare variant burden tests, eQTL, fine mapping, LD-score regression, etc). Experienced with single-cell omics data analysis (ex. single-cell 
- 
                
                
                architectures, and interpretable AI methods and libraries, concept-bottleneck architectures, attribution packages: shap, captum, etc. Experience with bulk and/or single-cell omics data analysis (e.g. bulk