Dana-Farber Cancer Institute and Broad Institute are seeking an associate computational biologist to develop and apply cutting-edge genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues
Requirements
- Knowledge of UNIX/Linux
- Familiarity with scripting in Python and statistical programming using R
- Familiarity with principles of experimental design and the modern data analysis paradigms
- Strong background in programming, preferably in R and BASH
- Knowledge of statistical methods either through coursework or research
- Exposure to an analytic field such as bioinformatics, computational biology, machine learning, or statistics
- Experience working in cloud computing and UNIX environments
Responsibilities
- Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor
- Data Analysis: Follows a detailed manual to perform routine
- Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates
- Manuscript Preparation: Helps prepare tables and figures
- Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly
Other
- A minimum 2 year commitment is required
- A bachelor's degree in a STEM field, with no prior experience necessary
- Excellent written & verbal communication skills
- Self-starter with excellent problem-solving, organizational and people skills
- Ability to collaborate closely with other members of a research team
