Data Analysis, Effective communication skills, Genetics, Genomic data, Machine learning techniques, Python Programming, R Programming
About this opportunity:
At Freenome, our goal is to improve patient outcomes by pioneering the next-generation of blood tests for early and accurate disease detection using our combined multiomics and machine learning platform. As a Staff Research Scientist in Genomics, you will contribute to the program’s technical base by creating and optimizing new next-generation sequencing (NGS) assays and workflows for DNA/RNA, or to the program’s scientific base by elevating our understanding of the biological context of these assay signals in cancer. In this role, you will lead projects to evaluate emergent technologies that have the potential to improve our diagnostic tests, collect and analyze NGS datasets (including genomics, epigenomics, and transcriptomics) for biomarker discovery, and augment existing multiomic models with novel signals you discover. You will also work closely with computational biologists and machine learning scientists to provide biological and technical insights, and to provide new data sources to enhance ongoing computational research projects.
What you’ll do:
Must haves:
Nice to haves:
Benefits and additional information:
The US target range of our base salary for new hires is $161,500 - $245,000. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits dependent on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ https://careers.freenome.com/ for additional company information.
Freenome is on a mission to empower everyone with the tools they need to detect, treat, and ultimately prevent cancer. We have pioneered the most comprehensive multiomics platform for early cancer detection through a routine blood draw. By combining deep expertise in molecular biology with advanced computational biology and machine learning techniques to recognize disease-associated patterns among billions of circulating, cell-free biomarkers
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
6-8 year
South San Francisco, CA, USA
6-8 year