Brown University, Computing and Information Services seeks two qualified applicants for the position of Genomics Data Scientist. There are two opportunities available. All applications will be considered for both positions.
The Genomics Data Scientist will be charged with the development, implementation, and technical support for research projects within the Computational Biology Core of the CIS Data Science Practice. 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 an extension contingent upon available funding. The grade level of the position will be determined based on the qualifications of the chosen candidate.
For grade 9E - Bachelors 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 assistanceship
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
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. Additionally, all offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown.
Recruiting Start Date:
Job Posting Title:
Genomics Data Scientist
Office of CIO
Fixed Term (Fixed Term)
Scheduled Weekly Hours:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status.
Located in historic Providence, Rhode Island and founded in 1764, Brown University is the seventh-oldest college in the United States. Brown is an independent, coeducational Ivy League institution comprising undergraduate and graduate programs, plus the Alpert Medical School, School of Engineering, Executive Master of Healthcare Leadership and the IE Brown Executive MBA.