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field. • Preferred experience in computational biology, single‑cell perturbation data analysis, and programming in Python or R. • Interest in machine learning, cancer genomics, and single‑cell
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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health, or related field, plus at least two years directly related experience required. Advanced knowledge and proficiency in statistical programming (e.g., R, SAS, Python, Stata) preferred; prior
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-cell RNA-seq, bulk RNA-seq, proteomics, etc. Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control
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of cancer research on the Mission Bay campus at UCSF! Research in the Oldham lab (https://oldhamlab.ucsf.edu ) focuses on understanding the cellular and molecular organization of the developing and adult
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, Ansible, PowerShell, Python, etc. Preferred Qualifications: ● Familiarity working in an Agile and/or DevOps/DevSecOps environment. ● Familiarity working with version control systems (Git, SVN, Azure DevOps
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and resistance. Through close collaboration between laboratory and clinical teams, our work bridges mechanistic immunology with real-world patient outcomes. To learn more about Hosoya Lab - https
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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recognized for the work you do, and enjoy the unique value the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . Major Duties
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, CSS) Scripting and automation (Python, Java, JavaScript, shell scripting) Database design and querying (Oracle, SQL Server) Source control systems (CVS, SVN. Git) Web and middleware technologies (Apache