InVitro Cell Research, LLC
Principal Scientist, Early Cancer Detection
ICR's
Early Cancer Detection
program is focused on building early warning systems out of arrays of blood- and urine-based biomarkers from cancer patients and healthy controls. 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 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 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) 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 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 Knowledge and experience in cutting-edge paradigms of immuno-oncology including cell therapies, CAR-T, peptide vaccines, RNA vaccines, dendritic cell vaccines, neo-antigen vaccines, clinical vaccine safety, T cell and antibody analysis of vaccine-induced immunogenicity, etc Experience with protein, RNA, and small metabolite cancer biomarker analysis Knowledge of and experience with Kaggle competitions And you'll need: An easygoing, friendly personality The ability to work in the United States without sponsorship Position title and compensation are commensurate with experience. The compensation ranges listed below are
starting
ranges. Starting
base pay range: $165,000/yr - $205,000/yr Seniority level
Mid-Senior level Employment type
Full-time Job function
Research and Science
#J-18808-Ljbffr
ICR's
Early Cancer Detection
program is focused on building early warning systems out of arrays of blood- and urine-based biomarkers from cancer patients and healthy controls. 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 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 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) 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 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 Knowledge and experience in cutting-edge paradigms of immuno-oncology including cell therapies, CAR-T, peptide vaccines, RNA vaccines, dendritic cell vaccines, neo-antigen vaccines, clinical vaccine safety, T cell and antibody analysis of vaccine-induced immunogenicity, etc Experience with protein, RNA, and small metabolite cancer biomarker analysis Knowledge of and experience with Kaggle competitions And you'll need: An easygoing, friendly personality The ability to work in the United States without sponsorship Position title and compensation are commensurate with experience. The compensation ranges listed below are
starting
ranges. Starting
base pay range: $165,000/yr - $205,000/yr Seniority level
Mid-Senior level Employment type
Full-time Job function
Research and Science
#J-18808-Ljbffr