·         We are seeking a Bioinformatics Scientist to join our cross-functional team and provide advanced bioinformatics support to aid genetic-data-driven target discovery for male-pattern baldness.

·         The successful candidate will use integrated approaches involving 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).

·         Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R, including relevant bioinformatics packages (e.g., Seurat, limma).

·         Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) and/or incorporating genetic evidence in causal gene discovery are especially encouraged to apply.

·         A background in human disease biology is helpful but not required.

·         What are the top 3-5 skills, experience or education required for this position:

Qualifications:

·         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