Bioinformatician 2 - Computational Spatial Biology
Stanford University
| Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Duties include: * Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. * - Other duties may also be assigned The expected pay range for this position is $108,002 to $128,138 per annum.
DESIRED QUALIFICATIONS: *MS or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, Biomedical Data Science, or a related quantitative field, with 1 to 2 years of relevant research experience. *Experience analyzing and interpreting genomic, spatial omics, and proteomic datasets, including data generated from platforms such as Xenium, Visium, CosMx, CODEX, and single-cell RNA-seq, with demonstrated proficiency in single-cell RNA-seq analysis workflows. *Prior experience analyzing the tumor microenvironment is highly desirable, along with familiarity with resources and databases related to cancer hallmarks, ligand-receptor interactions, and drug response. *Strong interest in cancer biology and in deriving biologically meaningful insights from computational analyses; experience contributing to peer-reviewed publications is desirable. *Proficiency in Python and R, including experience with commonly used analysis frameworks such as Seurat, scverse, and Bioconductor. *Strong foundation in statistics, data analysis, and computational methods; familiarity with machine learning and algorithm development is desirable. *Experience working in Unix/Linux computing environments, including use of high-performance computing clusters and, ideally, GPU-enabled workflows. *Experience with GitHub, version control, and repository management for collaborative and reproducible research. *Ability to work independently under general guidance, manage multiple priorities, and contribute effectively in a collaborative multidisciplinary research environment. *Excellent oral and written communication skills, with a strong interest in connecting computational analysis to meaningful biological and translational questions. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): CERTIFICATIONS & LICENSES: None
* Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Additional Information
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