The department of Computational Biology is seeking highly motivated and creative Associate Software Engineers to develop software used in big data bioinformatics analysis as part of a team of scientists and engineers at the forefront of genomic research into catastrophic childhood diseases. Positions are available in the following focus areas:
- Developing big data processing capabilities for the St. Jude Cloud project. Primary responsibilities will be creating and maintaining processes for uploading petabyte-scale data to St. Jude Cloud and implementation of all genomic data products in St. Jude Cloud. Knowledge of Linux, Bash, Git, and Python is preferred. Knowledge of common software product design processes (Agile/SCRUM) and common cloud computing paradigms is preferred.
- Developing and maintaining advanced bioinformatics tools for the St. Jude Cloud project. Primary responsibilities will be developing and publishing bioinformatics tools in St. Jude Cloud and implementation of genomic processing tools in St. Jude Cloud. Knowledge of Linux, Bash, Git, Python, and at least one of the following languages is preferred: Java, Perl, C, C++, Go, Rust. Knowledge of containerization (Docker), common software product design processes (Agile/SCRUM), and common cloud computing paradigms is preferred.
All positions listed will require working within a team of software developers, writing and maintaining documentation relevant to the position’s scope of work, writing and maintaining unit tests for software, and assisting in preparing and submitting manuscripts. When applying, please include areas of specific interest in cover letter.
Recognized as a world leader in mapping the genetic landscape of pediatric cancers, the St. Jude department of Computational Biology has developed state-of-art computational infrastructure, well-established analytical pipelines, and deep genomic analysis expertise with a track record of high-impact publications in top-tier biomedical journals such as Nature, NEJM, JAMA, Nature Genetics, and Nature Methods. The department provides a highly interactive environment with collaborative opportunities across basic and clinical departments, access to high performance computing clusters, cloud computing environment, innovative visualization tools, highly automated analytical pipelines and mentorship from faculty scientists with deep experience in data analysis, data management, and delivery of high-quality results for highly competitive projects. This position is located in Memphis, TN, and relocation assistance is available.
Linux experience is required.
Database development and SQL experience is preferred.
Familiarity with statistical analysis methods and languages such as R is preferred.
Experience in a research or academic setting preferred.
Experience in Bash, Git, Python, and at least one of the following languages is preferred: Java, Perl, C, C++, Go, and Rust.
Bachelor’s degree in engineering, computer science, physical science, or related field required.
Master’s degree is preferred.
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