Sort by
Refine Your Search
-
Category
-
Field
-
Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. You will be
-
postdoctoral position in computational biology/bioinformatics • Focus on analyzing multi-omic data from melanoma patients receiving TIL therapies • Co-mentorship by Dr. Allison Betof Warner and Dr. Zinaida Good
-
methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical
-
effective immunotherapeutic targets. Finally, we plan on continuing the path to clinical translation with further preclinical research (proteasome manipulation and optimization studies, bioinformatics
-
toxicology, with strong preference for proficiency in bioinformatics and programming to analyze and present results from large genomic datasets including bulk-RNA and DNA sequencing, single-cell sequencing
-
understanding the role of data in scientific studies. Experience in collaborating with domestic and international study sites for research execution. Experience in bioinformatics, genetics, big data and machine
-
supported include the operations of four large fee-for-service centers providing high-tech support in imaging, cell sorting, protein and nucleic acid chemistry, and bioinformatics to hundreds of researchers
-
bioinformatics Intellectually curious; willing and eager to learn new skills Experience with large datasets and database use Experience with analysis of real-world observational health data (e.g., electronic
-
organoids. A combination of bioinformatic and wet-lab approaches We welcome applicants with experience in molecular biology, human ogranoid, neurobiology, RNA biology, or computational biology — or a strong
-
chemistry biochemistry, molecular biology, anatomy and physiology Demonstrated technical ability in histochemistry, cell culture, microscopy, qPCR, biomaterials characterization, and advanced bioinformatics