The Breast Oncology Center Computational Biology group is looking for a computational biologist to analyze multi-omic sequencing datasets to advance efforts for translational cancer genomics and precision cancer medicine.
Requirements
- Knowledge of UNIX/Linux.
- Familiarity with scripting in Python.
- Statistical programming using R.
- Familiarity with principles of experimental design and the modern data analysis paradigms.
Responsibilities
- Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization.
- Data Analysis: Performs routine analysis for which established tools exist and are considered reliable.
- Data and Software Management: Monitors, downloads, organize, and manages data from public data repositories or generated by collaborates.
- Manuscript Preparation: Drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures.
- Grant Preparation: Helps to formulate specific aims, explains options for experimental design, and develops data analysis plans.
- Research Portfolio Management: Develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly.
- Team interactions: Offers peer-to-peer training for new statisticians in design, analysis, and presentation of results.
Other
- Bachelor's degree required in a STEM field.
- Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences.
- 1 year with Bachelor’s degree or 0 years with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience.
- Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally.
- Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts.
- Excellent analytical, organizational and time management skills.
