Staff Computational Biologist

This is a fully remote position, open to applicants in California.

📋 Description

• Act as a pivotal thought leader within the Computational Science team, spearheading the analysis and interpretation of molecular signatures related to cancer while remaining up-to-date with advancements in the field.

• Direct and actively participate in the creation of models that define biological transformations associated with cancer.

• Conduct thorough computational analyses on data derived from top-tier molecular assays, including whole genome sequencing, whole genome bisulfite sequencing, targeted sequencing, RNA sequencing, and protein quantification.

• Develop innovative statistical models to evaluate, characterize, and analyze these data types in the context of cancer biology and its progression.

• Pinpoint research hypotheses and areas for model enhancement; plan, scope, and execute relevant research projects alongside a skilled team of computational biologists.

• Address intricate analytical challenges related to the investigation of cell-free circulating nucleic acids and proteins.

• Collaborate closely with molecular biologists to enhance wet lab experiments, and with development scientists to translate research models into marketable products.

• Foster the professional growth and career advancement of talented, cross-functional computational biologists within your team.

⛳️ Requirements

• PhD or equivalent experience in a pertinent quantitative field (e.g., computational biology, cancer biology, statistics, bioinformatics).

• Minimum of 8 years of post-PhD experience utilizing computational techniques for biological discovery and product development, ideally within the cancer or diagnostics sectors in an industrial environment.

• Profound knowledge of cancer and molecular biology, demonstrating the ability to apply this expertise to tackle computational biology and diagnostics challenges in cancer.

• Significant experience in data analysis and model development for high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, and proteomics (e.g., Methyl-seq, ATAC-seq, RNA-seq, Hi-C, immunodetection assays).

• Strong computational and programming proficiency, with extensive experience in Python statistical packages (Numpy, Matplotlib, Pandas) and modeling libraries (Scikit-learn, TensorFlow, PyTorch), or comparable tools in languages such as R or C/C++.

🏝️ Benefits

• You will also qualify for equity, cash bonuses, and a comprehensive array of medical, financial, and additional benefits, depending on the position offered.