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Field
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working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national guidelines for disease specialties including hematology
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
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Participates in patient rounds, conferences and committees Actively participates in the development and maintenance of patient management algorithms and standing orders. Documents patient care data in Epic in
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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in
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. Produce well documented code and electronic notebooks Research and recommend new algorithms and statistical approaches. Train other researchers on the everyday use of analysis software and research
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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for clinical, cognitive, genetic, neuroimaging, behavioral, digital and blood biomarker measures. In addition to scientific leadership, responsibilities will also include mentorship of young investigators
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structures, algorithms, computer architecture, operating systems and databases) to develop and write original software to meet research-based needs. Utilizes experience of scientific and mathematical concepts
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analysis pipelines using best software engineering practices, including benchmarking, quantitative assessment, adaptation, and parameter optimization of emerging bioinformatic pipelines and algorithms
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning for Autonomous Genetic Engineering of Microbial Systems Location Material Measurement Laboratory