Postdoctoral Fellow – AI, Computational Biology, & Systems Biology
Core
Develop computational frameworks to integrate multi-omic datasets (genomic, transcriptomic, epigenomic, proteomic) and decipher organ cross-talk by connecting molecular data to cellular phenotypes and physiological responses.
Role type
Postdoctoral Fellow (AI, Computational Biology, Systems Biology)
Builds
Computational models for multi-omics integration, gene regulatory networks, and therapeutic target discovery
Domain
Biomedical research, multi-omics, AI in biology
Deliverable
production ML models
Required skills
Python, R, Linux/HPC environments, statistical modeling, machine learning, single-cell RNA-seq analysis, gene regulatory network inference, long-read transcriptomics (PacBio HiFi)
Preferred skills
Developing new computational methods, workflow development, reproducible pipelines
Technologies
Scanpy, Seurat, GENIE3, SCENIC, DESeq2, STAR, minimap2, Salmon, kallisto, Bioconductor, Ensembl, GTEx
Responsibilities
Integrate heterogeneous multi-omic datasets to test mechanistic biological hypotheses; lead and co-lead publications; present at conferences; develop grant proposals; collaborate with experimental investigators
Seniority
Postdoctoral Fellow (early-career researcher)