Computational Biologist I

Job Description:
We are a team of chromatin biologists looking for a computational biologist who loves NGS data! Our lab generates a number of NGS data types (e.g., ChIP-seq, RNA-seq, ATAC-seq, HiChIP, and more). We also mine existing genomic databases (e.g., TCGA, cbioportal) to generate novel hypotheses with direct relevance to human health. This position will take ownership of our bioinformatics pipelines and workflows, working closely with a team of computational biologists and wet lab scientists to increase team capabilities. The ideal candidate will have a deep understanding of state-of-the-art NGS methods, the ability to understand and explain different pipelines, and the capacity to guide our analysis based on our experimental observations.

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Requeriments :

• M.Sc. or higher Degree in computational biology

Skills :

• Biomedical Research
• Cancer Genomics
• Computational Biology
• Data Mining
• Genomics
• Linux/Unix
• Programing in Python
• Programming in R
• Shell scripting
• Strong Communication Skills

Areas :

• Computational Biology

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Additional Info:
How you will spend your day:

  Implement, validate, and maintain shared pipelines for processing of NGS data and downstream analyses (e.g., ChIP-seq, RNA-seq, ATAC-seq, HiChIP, etc.)
Mine publicly available oncology-focused genomic databases to make novel insights and generate new hypotheses
Manage existing data resources and access new public and internal data sets for use by team members
Contribute to research team meetings, proactively suggesting new ways to impact our research program
Use best practices for reproducible research and data stewardship

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