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-$52/hr (with flexibility for outstanding candidates)

Hours: 8 AM - 5 PM PST

Location: Remote/Hybrid (Location-dependent)

Responsibilities:

• Support the analysis of NGS data, including bulk RNA-seq and single-cell genomic studies.
• Perform data analysis using tools such as R/Bioconductor, Linux command line, and Bash.
• Conduct statistical analysis on large biological datasets.
• Prepare and deliver slide decks for internal presentations.
• Present analytical findings to the internal team and key stakeholders.

Must-Haves:

• PhD (or Master’s with significant experience) in Computational Biology, Bioinformatics, or a related field.
• 0-2 years of industry experience for PhD candidates.
• Proficiency in programming languages such as R, Python, Linux, and Bash.
• Experience with transcriptomic analysis (scRNA-seq or bulk RNA-seq).
• Ability to quickly grasp new concepts and effectively present analysis findings.
• Experience working with immuno-oncology data.