ICR's Cancer Early Detection program is focused on building early warning systems out of arrays of blood- and urine-based biomarkers from cancer patients and healthy controls, mostly stages zero, one and two. We're using machine learning to predict cancer signatures to enable early intervention when cancer is most treatable. We're hiring a Principal Scientist to lead our Cancer Early Detection Team.
With ICR, you'll get to:
- Lead a cutting-edge cancer biomarkers group with the goal of detecting cancer at its earliest stages
- Contribute highly practical and readily translatable pan-cancer screening/early detection, diagnostic, prevention and therapeutic ideas
- Quantify and track cancer biomarkers, including CTCs, cfDNA, serum, plasma, and urine proteins, RNA, metabolites, driver-gene mutations, epigenetic modifications, etc
- Collaborate with ICR's Biomarkers Team to perform molecular and cellular cancer prevention screening assays, under a personalized medicine paradigm
Please apply if you have:
- A PhD, MD or both
- At least 10 years of cancer research experience, preferably in early detection and biomarkers
- Current and in-depth knowledge of pan-cancer: screening, early detection, biomarkers, diagnostic prediction, genetics, prevention, and chemical and vaccine-therapeutics (practical and experimental)
Ideally, you'll also have:
- Expert knowledge and understanding of worldwide pan-cancer drug development pipelines
- Experience with cell-based assays, immunofluorescent microscopy, qPCR, flow cytometry, single-cell genomics, RNAseq, cell culture, organoid culture, Illumina NextSeq 550, DNA methylation sequencing, ddPCR, Luminex, clinical chemistry instrumentation, Kryptor, Access 2, robotic liquid handling (e.g. Tecan), Vortex, and DepArray
- Experience with protein, RNA, and small metabolite cancer biomarker analysis
- Programming ability in Python and/or R
- Advanced statistics and basic machine learning knowledge
And you'll need:
- An easygoing, friendly personality
- The ability to work in the United States without sponsorship