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, computational cancer biology/genetics or a related field, obtained within the last 5 years by the time of the appointment start date or an M.D. within 10 years as well as Proficiency in Python, R, and ML
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imaging modalities · Strong proficiency in Python for scientific computing, including experience with machine learning and image processing libraries such as PyTorch, TensorFlow, NumPy, SciPy, or OpenCV
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Ability to exercise sound judgement, critical thinking, and decision making Proficient in R and Python for analysis and modeling, with experience in SQL for data extraction Comfortable navigating ambiguity
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study. Demonstrated experience in NGS data analysis, programming (Python, R, Bash), molecular biology, microscopy, flow cytometry, statistical analysis, and biochemistry. Proper data management and
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science with a focus on computation, or IT specialist with experience in a research environment. Extensive experience with the Linux Operating Systems. Mastering of scripting languages like Python and Bash
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, remote-access solutions without web connectivity. Automation & Workflow Development Develop scripts and tools (Python and SQL inside and outside of the Esri software suite; ArcGIS Arcade, within the Esri
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or Python desired)
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. The ability to understand and write basic Python code is an asset. A solid understanding of one or more areas of biology, such as cancer, immunology or genetics, is very important. A good understanding
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bioinformatics workflows and related visualizations in R and Python within an HPC environment is a requirement. Prior experience in analyzing and interpreting results of various omics data types is needed
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, models and standards is preferred. - Experience with Python, PHP, SAST, DAST, SCA, SAML, OIDC, PostgreSQL, MariaDB, TDD, HTTP, TCP/IP, x509 certificates, network/systems inventories and architecture, DNS