We are seeking a skilled professional to support computational biology efforts, particularly in the analysis of next-generation sequencing (NGS) experiments. The role focuses on understanding immune and stroma cell types in the tumor microenvironment, with an emphasis on single-cell RNA sequencing (scRNA-seq).

Pay rate: $40/ hr.- $45/ hr.

Location: South San Francisco, remote

Contract length: 1 year

Day-to-Day Responsibilities:

• Work on computational biology projects aimed at advancing our understanding of tumor microenvironments, especially regarding immune and stromal cell types
• Perform detailed analysis of multiple types of NGS datasets, including bulk RNA-seq and scRNA-seq, to investigate gene expression patterns and related biological phenomena
• Use R, Bioconductor, Linux, and Bash to process, analyze, and interpret data. Knowledge of Python may also be necessary for certain tasks
• Employ statistical methods to analyze data and extract meaningful insights, ensuring the results are accurate and robust
• Create presentations summarizing your findings and insights from the data analyses
• Share your findings with internal teams and key stakeholders, likely through presentations and meetings

Qualifications:

• A PhD (or Master’s with substantial experience) in Computational Biology, Bioinformatics, or a related field paired with 0-2 years of industry experience
• Proficiency in R, Python, Bash, and Linux command line
• Familiarity with both single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq, particularly with transcriptomics data analysis
• Must be able to quickly grasp complex concepts, analyze data, and present findings in an understandable way for internal teams and stakeholders
• Previous experience working with data from immunology or oncology research would be highly beneficial

INDBH

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