InVitro Cell Research, LLC ยท 21 hours ago
Principal Scientist, Early Cancer Detection
InVitro Cell Research, LLC is focused on building early warning systems for cancer detection using biomarker arrays. They are seeking a Principal Scientist to lead their Cancer Early Detection Team, focusing on early intervention strategies through advanced biomarker research.
Responsibilities
Lead a cutting-edge cancer biomarkers group to detect 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
Qualification
Required
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)
Programming experience in R and Python
Solid grasp of biostatistics, especially probability theory
Experience with prediction modeling and machine learning, including experience using proper scoring rules
An easygoing, friendly personality
The ability to work in the United States without sponsorship
Preferred
Expert knowledge and understanding of worldwide cancer biomarker and detection assay 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