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, propensity-score matching). Develop and implement protocol for quality control. Develop reproducible code in Python and/or R for data wrangling, analysis, and visualization. Create analytic files with detailed
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to contribute to all phases of the project, including conception, design, development, implementation, and maintenance. These tools are written in R, C++, and Python and require an in-depth understanding
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background in computer systems, server systems (Unix/Linux/Windows) and a general understanding of networking and databases concepts. Working knowledge of Python, Unix, Coldfusion, nodejs, javascript, CSS
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, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go
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QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C
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learning methodologies, and tools, with a proven ability to apply these in a research context. Strong programming skills, with proficiency in Python and experience with other research software (e.g., R
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, machine learning methodologies, and tools, with a proven ability to apply these in a research context. Strong programming skills, with proficiency in Python and experience with other research software (e.g
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. This is a full-time position at 50% FTE. Key projects include analyzing exciting new datasets about plant-based food sales in restaurants and grocery stores. Desired skills are proficiency in R or Python
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change the world. For more information about the department visit http://pathology.stanford.edu About the Lab: The LSRP will work in the lab of Dr. Ansuman Satpathy, MD, PhD (Department of Pathology and
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change the world. For more information about the department visit: http://pathology.stanford.edu About the Lab: The LSRP will work in the lab of Dr. Ansuman Satpathy, MD, PhD (Department of Pathology and