Genomics Data Scientist
Brown University, Computing and Information Services is seeking the position of Genomics Data Scientist.
The Genomics Data Scientist will join the Data Science Practice (http://brown.edu/cis/data-science) in Computing & Information Services (CIS) to support statistical analysis of high dimensional genomics data generated within the newly formed Computational Biology Core in Brown’s Center of Biomedical Research Excellence (https://news.brown.edu/articles/2016/06/cobre).
The Genomics Data Scientist will be charged with the development, implementation, and technical support for research projects within the Core. He or she 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 Genomics Data Scientist 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 Biomedical Research Excellence. The Genomics Data Scientist will work collaboratively with other members of the Data Science Practice, which includes the Computational Biology Core as well as data scientists who more broadly support data-intensive research across the university.
This is a three year fixed-term staff position, with the possibility of extension contingent upon available funding.
The grade level of the position will be determined based on the qualifications of the chosen candidate.
Qualifications: For grade 9E - Bachelor’s Degree required and 1 or more years of work or internship experience For grade 10E - Advanced Degree required and 2 - 3 years of work experience including post doc or research assistantship Working knowledge of Python, R, SQL, bash scripting, and the Linux operating system. Working knowledge of a compiled programming language, such as C, C++, Java or FORTRAN. 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 (e.g. gitflow, fork & pull request), containerization (e.g. Docker), agile development, and minimum viable products. Expertise in many of the following areas: Exploratory data analysis and visualization methods Web application development Databases and data management Algorithm design and evaluation Statistical methods and machine learning High-performance and distributed computing Cloud computing Docker and containerization Ability to work both independently and as a team member. Ability to manage multiple projects with competing priorities and deadlines, and an eagerness to take ownership of challenging and open-ended assignments. Coursework in biology preferred.
Candidates please note: a cover letter and current resume must be submitted with your application to be considered for these positions.
All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown.
Please apply to REQ131281 at the Brown Career Site.