Staff Computational Biologist
Translational Science
Posted on 1/26/2023
San Bruno, CA, USA
Experience Level
Desired Skills
Data Structures & Algorithms
  • PhD or equivalent experience in a relevant field such as computational biology, computer science, and other quantitative fields
  • 6+ years post-PhD experience applying computational techniques for biomarker discovery and product development, ideally in industry
  • Extensive knowledge of cancer biology and molecular biology, with experience leveraging this knowledge for problems in cancer computational biology and diagnostics
  • Strong quantitative reasoning and statistical analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems
  • Experience in developing, applying, and evaluating statistical and/or machine learning algorithms
  • Experience with computational and statistical programming, including experience with Python statistical and machine-learning packages. Equivalents in other languages like R are also suitable
  • Experience in the analysis of high-throughput, quantitative technologies in genomics, epigenomics, proteomics, transcriptomics, or immunomics (e.g., Hi-C, ATAC-seq, RNA-seq, immunoassays)
  • Expertise with biological and genomic data, tools, and associated public databases (e.g., ENCODE, TCGA, Blueprint, Cosmic)
  • Excellent oral and written communication skills to communicate to both scientific and broader audiences
  • Experience mentoring or managing junior scientists, with an ability to work on a cross-functional team (with both computational and experimental scientists)
  • Lead the analysis and interpretation of molecular and clinical data, particularly in the context of early cancer intervention where Freenome is partnering with biopharma
  • Leverage prior experience working in/with biopharma and in cancer biology, including but not limited to early cancer detection and molecular signatures across various types and stages of cancer; through this knowledge, help to shape our strategic plans and execution of projects
  • Serve as a technical lead / key-thought leader for the translational science team in statistical analyses of data
  • Motivate research hypotheses and areas for potential capabilities improvement, particularly interpretable biological features arising from different multiomics data types; subsequently plan, scope, and execute associated research with a talented team of computational biologists and wet lab scientists
  • Leverage, develop, and apply machine-learning and statistical tools for model development and interpretation

201-500 employees

Blood test cancer detection biotech company
Company Overview
Freenome's mission is to empower everyone to prevent, detect, and treat disease by developing high-quality diagnostic tests. The developing next-generation blood tests powered by their multiomics platform to discover the body’s earliest warning signs of cancer, and develop accessible tests to detect cancer in its earliest, most treatable stages.
  • Competitive market-based salaries
  • Annual bonus opportunities
  • Relocation packages
  • Medical, dental, & vision coverage
  • 401k
  • Wellness programs
  • Equity
  • PTO
Company Core Values
  • Empathy
  • Integrity
  • Trust
  • Strive for greatness
  • Servant leadership