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Freenome

Blood-based multiomics cancer detection tests

Computational Biologist

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or a related quantitative field.
  • Two to three or more years of industry experience for the Senior Scientist level.
  • Experience in experimental design and analysis of high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, or proteomics, such as target capture with UMI, Hi-C, ATAC-seq, RNA-seq, bisulfite sequencing, microarrays, mass spectrometry, or immunoassays.
  • Familiarity with and ability to select and use bioinformatics tools for the relevant molecular assays.
  • Experience in applied statistics, including hypothesis testing, regression techniques, and appropriate use of simulation.
  • Expertise in data analysis and visualization using R with tidyverse, Python statistical packages such as NumPy, Matplotlib, and pandas, or equivalent tools, under version control.
  • Ability to communicate scientific information to scientific and broader audiences in writing and orally, with attention to detail.
  • Ability to work cross-functionally with computational and experimental scientists.

Responsibilities

  • Plan and execute development experiments for multiomics cancer screening tests.
  • Partner with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy toward FDA approval.
  • Develop computational methods and interpret complex experimental results to optimize and validate technology for sample collection, preparation, and detection.
  • Develop and execute experimental design and analysis plans for Development, Verification, and Validation studies in partnership with Biostatistics, Development, and Pre-Analytics teams.
  • Work with molecular and computational research teams developing in vitro diagnostic products for blood-based molecular assays, including cell-free DNA, proteins, and additional biomarkers.
  • Contribute to the development and launch of cancer screening technologies.

Desired Qualifications

  • Experience developing diagnostic devices in a regulated environment, including PMA, 510(k), or CE-IVD, for the Senior Scientist level.

About the Company

Freenome

Blood-based multiomics cancer detection tests

Freenome develops non-invasive blood tests for early cancer detection using a multiomics approach that analyzes genomic and proteomic data from blood. The test works by measuring biomarkers in a blood sample and applying algorithms to estimate cancer risk or presence, with results shared with healthcare providers and researchers. It differentiates itself by combining multiple data types and pursuing large clinical trials and collaborations to validate the tests. The goal is to make early, non-invasive cancer screening a routine part of healthcare, expanding nationwide efforts, especially for colorectal cancer, to improve detection and patient outcomes.

Company size
201-500
Company stage
IPO
Headquarters
Brisbane, CA
Founded
2014

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