Data Analyst for Pediatric Cancer Research
6 days ago
About Us
Dana-Farber Cancer Institute is a leader in life-changing breakthroughs in cancer research and patient care. Our ultimate goal is to translate robust findings to early phase clinical trials.
Job Overview
We are seeking a highly motivated Data Analyst to join our team in the Department of Pediatric Oncology at Dana-Farber Cancer Institute. The selected candidate will lead the computational analysis and biological interpretation of novel datasets generated from different types of childhood cancers.
Key Responsibilities
- Lead the computational analysis and biological interpretation of novel datasets, including genome-scale CRISPR-Cas screens, chemical screens, RNA sequencing, ChIP and CUT & RUN sequencing, DNA methylation, whole exome and whole genome sequencing, etc.
- Identify tumor-specific gene dependencies and biomarkers of response, and understand their mechanistic role in pediatric cancer.
- Collaborate with world-renowned experts in the fields of childhood cancer and data science.
Requirements
- Bachelor's degree in a STEM field, Master's or PhD preferred in bioinformatics, computational biology, statistics, biostatistics, or computer science.
- Solid understanding of Cancer Biology.
- Programming experience in at least one statistical computing software (e.g., R, Python, MATLAB).
- Familiarity with high performance computing environments.
- Ability to lead research projects working with postdocs and graduate students.
Salary
$80,000 - $110,000 per year, depending on experience.
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