Bioinformatics Analyst III-----Remote

Job Description

We are seeking a Bioinformatician to join our cross-functional team and provide advanced bioinformatics support for studies of age-related diseases. The successful candidate will use a variety of ‘omics data to test and refine biological hypotheses in coordination with wet-lab and computational colleagues.

Key Responsibilities Include

• Upstream processing of ‘omics data (QC, normalization, exploratory data analysis).
• Downstream processing of bulk, single-cell, and/or spatial transcriptomic data (e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization).

Additional Responsibilities Include

• Analysis of proteomics or other data modalities depending upon project needs.
• Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edgeR/limma).
• Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply.
• A background in human disease biology is helpful but not required.

Skills/Qualifications Required

• PhD in Bioinformatics, Genetics, Molecular and Cellular Biology, or related field or MS with at least 6 years of experience.
• Single-cell and/or spatial transcriptome QC and analysis (e.g., with Seurat or Scanpy)
• Bulk RNAseq data processing and analysis
• Facility with R and/or Python for data exploration and statistical analysis
• Experience with high-performance computing (HPC) and job submission systems