University. The successful candidate must have functional knowledge of and experience working with a Linux operating system, as well as fluency in at least one programming language such as Python or R; a background in cancer biology is preferred. In this position, the Staff Associate II will work collaboratively with team members to troubleshoot computational analyses and is expected to operate with a moderate level of supervision and independent judgment. The role requires technical expertise in the bioinformatic analysis of genomic and/or transcriptomic sequencing data, along with excellent written communication skills, including the ability to clearly document data electronically and develop and maintain experimental protocols. Qualified candidates should hold a Bachelor’s degree in biology, chemistry, physics, mathematics, engineering, bioinformatics, computer science, or a related field, along with at least two years of relevant experience, or a Master’s degree in a related discipline. Experience with bioinformatic analysis of genomic and/or transcriptomic sequencing data, working in a Linux environment, and proficiency in a high-level programming language such as Python or R is required, and a basic knowledge of cancer biology is strongly preferred.

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University. The successful candidate must have functional knowledge of and experience working with a Linux operating system, as well as fluency in at least one programming language such as Python or R; a background in cancer biology is preferred. In this position, the Staff Associate II will work collaboratively with team members to troubleshoot computational analyses and is expected to operate with a moderate level of supervision and independent judgment. The role requires technical expertise in the bioinformatic analysis of genomic and/or transcriptomic sequencing data, along with excellent written communication skills, including the ability to clearly document data electronically and develop and maintain experimental protocols. Qualified candidates should hold a Bachelor’s degree in biology, chemistry, physics, mathematics, engineering, bioinformatics, computer science, or a related field, along with at least two years of relevant experience, or a Master’s degree in a related discipline. Experience with bioinformatic analysis of genomic and/or transcriptomic sequencing data, working in a Linux environment, and proficiency in a high-level programming language such as Python or R is required, and a basic knowledge of cancer biology is strongly preferred.

Apply on website