244 data-science-"https:"-"https:"-"https:" positions at Yale University in United States
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The Libreros Laboratory in the Department of Pathology and the Vascular Biology and Therapeutics Program (VBT) at Yale University is seeking a highly motivated, creative, and collaborative
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advanced academic research experience before pursuing a career in the medical technology industry. Qualifications Recent master’s degree in computer science, Biomedical Engineering, Data Science, or a
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imaging techniques to map out comprehensive circuit diagrams (connectomes) and investigate how circuit architectures support neuronal function and behavior. More information about the lab and research
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Postdoctoral Associate, Program of Ethics, Politics, and Economics Yale University: Faculty of Arts and Sciences: Social Science: Political Science Location New Haven, CT Open Date Dec 11, 2025
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as biology or health sciences. Proven experience working in or supporting an oncology department. 3. Proven experience with data collection and management, including proficiency with tools like REDCap
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). Maintain rigorous experimental documentation, data management practices, and reproducible analysis pipelines. Present results at lab meetings, departmental seminars, and scientific conferences; contribute
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will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping, germline variation, and clinical
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, Family Medicine, OB/GYN, or Pediatrics) and 0.5 FTE dedicated to clinical informatics leadership under the direction of the Chief Medical Information Officer (CMIO). Reporting to the Chief Medical
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program, our laboratory addresses three central questions: ● Why do breast cancer therapies stop working? ● How can the patients developing resistance, and the biology driving it, be identified from a
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, depending on experience. The successful candidate will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping