Postdoctoral Fellow — Spatial & Single-Cell Multi-Omics

Mount Sinai; New York (NY); On-site; USD 73,000 - 80,000; Full time

Job summary

Mount Sinai invites applications for a Postdoctoral Fellow in Spatial and Single-Cell Multi-Omics. The successful candidate will develop and apply innovative spatial and multi-omic assays, integrating transcriptomic, epigenomic, and chromatin data to uncover regulatory programs and cell-state dynamics in complex tissues.

The role emphasizes experimental optimization, computational analyses, and collaboration across teams, with opportunities to publish high-impact studies and contribute to new

Qualifications

• Ph.D. in Genomics, Molecular Biology, Epigenomics, Computational Biology, or related field.
• Strong interest in developing and applying spatial and single-cell multi-omic technologies.
• Experience with single-cell or spatial genomic methods (scRNA-seq, scATAC-seq, CUT&Tag/RUN, DNA methylation, Hi‑C, spatial transcriptomics).
• Proficiency in computational analysis using R, Python, or related languages.
• Familiarity with single-cell analysis frameworks (Seurat, Scanpy, ArchR, Signac, Cell Ranger, Snakemake, Nextflow).
• Strong problem-solving skills; able to troubleshoot experimental and computational workflows.
• Able to work independently and collaboratively; excellent written and verbal communication.
• Strong publication record or potential for independent productivity.

Responsibilities

• Develop, optimize, and benchmark spatial and single-cell multi-omic assays.
• Design experiments to improve sensitivity, throughput, and robustness; optimize sample prep and sequencing strategies.
• Generate and analyze spatial and single-cell datasets and perform QC, clustering, annotation, and differential analysis.
• Integrate multi-omic datasets to study gene regulation and tissue organization.
• Develop and maintain computational pipelines for large-scale data processing and visualization.
• Benchmark new methods against existing technologies and validate findings experimentally or computationally.
• Collaborate with lab members and core facilities; contribute to manuscripts and grants.
• Maintain thorough documentation of protocols, analyses, and code.

Skills

Spatial genomics

Single-cell omics

Computational analysis

Programming (R/Python)

Data integration

Independence

Communication

Publication record

Education

Ph.D. in Genomics or related field

Tools

Seurat

Scanpy

ArchR

Signac

Cell Ranger

Snakemake

Nextflow

Job description

Mount Sinai invites applications for a Postdoctoral Fellow in Spatial and Single-Cell Multi-Omics. The successful candidate will develop and apply innovative spatial and multi-omic assays, integrating transcriptomic, epigenomic, and chromatin data to uncover regulatory programs and cell-state dynamics in complex tissues.

The role emphasizes experimental optimization, computational analyses, and collaboration across teams, with opportunities to publish high-impact studies and contribute to new