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Bioinformatics Analyst III (Remote)

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

Illinois (USA), United States

Offer summary

Qualifications:

PhD in Bioinformatics or related field, MS with at least 6 years of experience, Expertise in R and/or Python, Experience with high-performance computing.

Key responsabilities:

Upstream processing of 'omics data
Downstream interrogation of transcriptomic data

Katalyst HealthCares & Life Sciences Pharmaceuticals SME https://www.katalysthls.com/

51 - 200 Employees

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Job description

Job description:
We are seeking a Bioinformatics Scientist to join our cross-functional team and provide advanced computational biology 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.
Responsibilities:

upstream processing of 'omics data (QC, normalization, exploratory data analysis).
downstream interrogation of bulk, single-cell, and/or spatial transcriptomic data (e.g., differential gene expression analysis, gene set enrichment analysis, cell type annotation, cell trajectory analysis, cell-cell communication analysis).
Additional responsibilities may 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/lima).
Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply.

Requirements:

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.