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observational health data, particularly electronic health records (EHR) Proficiency in statistical programming (e.g., R or Python) and reproducible research workflows Demonstrated ability to lead analyses and
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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data
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settings. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): NGS data. Proficiency in Python and/or R for data analysis and pipeline development. Experience working in a Linux/HPC environment, including job
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): Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related engineering discipline, with relevant professional or research experience. Extensive experience with Python software
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, SKILLS AND ABILITIES (REQUIRED): Demonstrated experience in cancer genomics, including analysis of somatic alterations (SNVs, CNVs, and/or SVs) from NGS data. Proficiency in Python and/or R for data
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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, health services research, epidemiology, biostatistics, public health, or a related quantitative discipline. Strong quantitative and analytical skills with proficiency in R, Python, Stata, or SAS
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to apply. Basic to advanced experience with computational analysis and R/Python. Excellent oral and written communication skills and be able to work effectively with collaborating researchers. Successful
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software (e.g., WaterTAP) and programming languages (e.g., Python) is highly desirable. Familiarity with the principles of electrified mineral extraction and purification processes is advantageous but not