Associate Computational Biologist (Polizzi Lab)
We are seeking an Associate Computational Biologist who is training to become a Computational Biologist. This role involves routine data analysis and processing of biological data, with a focus on high-throughput technologies and genomic databases, under the supervision of a mentor.
About the Role
The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and other research staff to analyze high-throughput data and disseminate scientific results. This role may involve projects in cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases.
Responsibilities
- Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision.
- Follows detailed manuals to perform routine data analysis.
- Monitors, downloads, organizes, and manages data from public data repositories or data generated by collaborators.
- Helps prepare tables and figures for manuscript preparation.
- Trains to develop timelines and components for multiple routine projects; masters multi-tasking to ensure complex, interdisciplinary projects move forward smoothly.
Requirements
- Knowledge of UNIX/Linux.
- Familiarity with scripting in Python and statistical programming using R.
- Familiarity with principles of experimental design and modern data analysis paradigms.
- Able to discuss and present results, share ideas accurately, and communicate effectively, both in writing and verbally, with supervisory oversight.
- Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts.
- Excellent analytical, organizational, and time management skills.
Qualifications
The position requires a bachelor's degree in a STEM field, with no prior experience necessary.
Pay
$60,000.00 - $67,466.00