Elucidate and integrate interface and design requirements from multiple stakeholders.Â
Develop rapid UI/UX prototypes and present to stakeholders for feedback.Â
Develop modular, responsive, and performant UI/UX components with an emphasis on generality and re-usability of components across multiple projects. Â
Implement interfaces that allow users the ability to explore and navigate complex multi-faceted data sets.Â
Work collaboratively with back-end developers in building out the pediatric cancer data commons.Â
Build and/or maintain deep knowledge of biomedical research data.Â
Understand and implement visualization and analysis tools that allow researchers to interpret cohort makeup and analyze clinical data.Â
Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements. Â
Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods. Â
Supports and maintains existing applications. Works with web developers and responds to requests from users. Â
Performs other related work as needed.Â
Preferred QualificationsÂ
Education:Â
Bachelor's degree in computer science.Â
Experience:Â
3 years of front-end JavaScript library experience.Â
Background in writing interactive user interfaces with a particular focus on data intensive applications.Â
Exposure to a variety of front-end JavaScript libraries and frameworks like Angular and React.Â
Experience performing bioinformatics analyses.Â
Experience writing clean, well-structured code.Â
Experience working in a collaborative agile environment strongly preferred.
Experience performing bioinformatics analysis such as GWAS and ChIP-Seq as well as clinical data analysis to generate survival curves and other outcomes analyses.
Other: cross-browser compatibility, visualization with D3 or a corollary. Â
Familiarity working with version control systems (e.g. SVN, Git) in a collaborative team environment, creating pull requests and performing code reviews.
Preferred CompetenciesÂ
Strong knowledge of relational data and ability to write queries as necessary.Â
Working knowledge of software design patterns, experience writing automated tests.Â
Exposure to Docker, AWS or other cloud or container-based application deployment. Â
Desire to work in a university research/biomedical environment.Â
Open source enthusiast and passionate about learning new technologies.Â
Working ConditionsÂ
This position will be eligible for an alternative work arrangement.Â
Application DocumentsÂ
Resume (required)Â
Cover Letter (preferred)
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