Staff Computational Biologist

Responsibilities

• Serve as a key thought-leader on the Computational Science team, leading the analysis and interpretation of cancer's molecular signatures
• Guide and contribute to the development of models that characterize biological changes associated with cancer
• Execute rigorous computational analyses on data from molecular assays including WGS, WGBS, RNA-seq, and protein quantitation
• Design novel statistical models for the evaluation and modeling of data types within the context of cancer biology
• Identify research hypotheses and execute associated research projects with a skilled team
• Solve complex analytical challenges related to cell-free circulating nucleic acids and proteins
• Partner with molecular biologists to refine wet lab experiments and development scientists to turn models into products
• Support the professional development of cross-functional computational biologists

Requirements

• PhD or equivalent experience in computational biology, cancer biology, statistics, or bioinformatics
• At least 8 years of post-PhD experience in biological discovery and product development, preferably in cancer or diagnostics
• Deep expertise in cancer and molecular biology
• Extensive experience with high-throughput technologies (Methyl-seq, ATAC-seq, RNA-seq, Hi-C, etc.)
• Proficiency in Python (Numpy, Matplotlib, Pandas) and modeling packages (Scikit-learn, TensorFlow, PyTorch) or R/C/C++

Preferred Qualifications

• Experience training or applying biological sequence-to-function models
• Experience with single-cell genomic or transcriptomic models
• Experience modeling cell-free DNA (cfDNA) signals for early disease detection

About the Company

Freenome is dedicated to changing the entire landscape of cancer through advanced computational science and molecular diagnostics.