
Research Software Engineer
The incumbent will apply robust software engineering techniques to develop workflows and web applications for analysis and visualization of genomics data generated by collaborators of the Core, serving as a computational and bioinformatics analyst for assigned projects. The incumbent will be an active participant in exploring creative new approaches for leveraging existing tools and publicly available genomics data in alignment with the vision of the Center of Computational Biology of Human Disease. The Genomics Data Scientist will work in close collaboration with other members of the Advanced Research Computing group, which includes the Computational Biology Core as well as data scientists who more broadly support data-intensive research across the university.
1 - 2 years experience within a related field
Familiarity with bioinformatics resources (e.g. NCBI), genomics databases, and related tools and file formats.
Expertise with formal software engineering practices, including testing, continuous integration, Git and branching models
Sql
Python
Java
C++
Time Management
R
Bash
Fortran
Data analysis skills
Docker and containerization
Verbal communication
written communication
Multitasking Skills
Adaptability
Problem Solving Skills
According to JobzMall, the average salary range for a Research Software Engineer in Providence, RI, USA is between $101,000 and $117,000 per year.
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Brown University is a private Ivy League research university in Providence, Rhode Island. Founded in 1764 as the College in the English Colony of Rhode Island and Providence Plantations, it is the seventh-oldest institution of higher education in the United States and one of the nine colonial colleges chartered before the American Revolution. The spirit of the undergraduate Open Curriculum infuses every aspect of the University. Brown is a place where rigorous scholarship, complex problem-solving and service to the public good are defined by intense collaboration, intellectual discovery and working in ways that transcend traditional boundaries.

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