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also being a mentor to other members of the community. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Background in machine learning Background in cancer biology Experience with R and/or Python Experience
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/statistical skills Experience with statistical analysis software (e.g. R, SAS), GIS software (e.g., ArcGIS, QGis), and programming languages (e.g., R, Python, C++). Experience or interest in science integration
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to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other laboratory members with expertise in epidemiology, bioinformatics
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practices in the US agriculture. Proficiency in R, Python, Matlab, or other common programing languages (e.g., C/C++). Strong computational skills. Strong oral and written communication skills. Stipend
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 13 days ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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. Experience with a scientific programming environment (such as Python, R, or Matlab) is preferred. ? Strong communication skills. ? Background in machine learning or biology is a plus. ? Knowledge of cancer
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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. Degree must have been received within the past five years or anticipated to be received by 5/31/2026. Preferred skills: R, Python, and Microsoft software Statistical analysis tools. Familiarity with ArcGIS
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communication skills; commitment to a team-oriented environment. Desired Qualifications* Experience with single-cell genomics, advanced imaging, or bioinformatics. Proficiency in R / RStudio, Python, or similar
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implementing and evaluating precision technologies. Experience in the use of scripting languages (e.g. python, R, etc.) Experience performing multivariate statistical analyses and using statistical analyses