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Field
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
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(biostatistics, epidemiology, health, or population sciences). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python
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the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing
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Engine, Python, and GIS software. Strong quantitative and analytical skills in working with satellite observations, geospatial datasets, and environmental data. As the position requires collaboration and
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data analysis in a research context Proficiency in R and/or Python for statistical analysis and pipeline development Familiarity with causal inference or genetic epidemiology methods (e.g., Mendelian
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manylabs collaborative projects. The successful candidate will be resourceful with the ability to act on their own initiative, excellent quantitative skills including programming (e.g. Matlab, R or Python
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programming and scripting languages such as R, Python, Bash, or similar computational tools commonly used in bioinformatics research Experience in developing, implementing, and optimising bioinformatics
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science, Computational Social Science, Complex Systems, Operations Research, or a related field. Strong agent-based modelling expertise in Python (Mesa) and/or NetLogo. Experience with empirical ABM calibration. A track
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disease progression Quantitative or computational skills are highly valued (e.g., Python/R, image analysis, genomics) Additional Qualifications If visa sponsorship is needed, Harvard retains the discretion
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microbiology. Proficiency in microbial isolation and cultivation, functional screening, gene editing, and NGS library preparation. Computational Skills: Strong bioinformatics capabilities. Proficiency in Python