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throughput datasets by designing and writing custom data analysis pipelines (in Python and/or R) Assist in the writing and publication of experimental results Train and mentor junior scientists in the lab
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website: https://medschool.cuanschutz.edu/accords. The successful candidate will assist with study and instrument design and data coordination, conduct data cleaning and analysis of primary and/or secondary
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Qualifications: Previous experience with a demonstrated record of productivity is desired. Computational skills (e.g., MATLAB, Python, R, etc.) Experience with research design, development of research hypotheses
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or Python to analyze data and experience with statistical, machine learning, and data science approaches. Prior experience working in teams on collaborative projects. Knowledge, Skills and Abilities
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productivity is desired. • Computational skills (e.g., MATLAB, Python, R, etc.) • Experience with research design, development of research hypotheses, and methods to test them Knowledge, Skills
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modeling Previous experience in statistical packages such as R Preferred Qualifications: Prior experience in quantitative analysis using various techniques and software tools. Proficiency in R or Python
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oral presentations at scientific meetings Preferred Qualifications: Experience with R, Python, or similar programming languages Prior work in translational or immuno-oncology research Knowledge, Skills
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can be found on our website: https://medschool.cuanschutz.edu/accords. The successful candidate will assist with study and instrument design and data coordination, conduct data cleaning and analysis
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in causal inference ● Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred Qualifications: ● Experience with development of R packages or other
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Python computational environments. ● Experience with containerization (e.g., Docker, Singularity, Charliecloud). ● Experience with statistical modeling and data analysis of large-scale biological