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perturbation technologies ● Regenerative medicine and cell-based therapeutics Responsibilities The successful candidate will: ● Design, lead, and execute high-risk, high-reward independent research
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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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Appointment Dates: July 1, 2026, to June 30, 2027 Proposed Compensation: $68,500 or commensurate with experience. Email/Website: [email protected] , https://www.reilly-lab.com(Link is external) , https
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Demonstrated ability to conduct independent research and publish in a peer-reviewed journal. Responsibilities: Lead independent and collaborative research projects Design and execute in vitro and in vivo
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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
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genetics Analysis of population-scale datasets and biobanks (e.g., All of Us, UK Biobank) Responsibilities The successful candidate will: Design and execute wet-lab experiments, including some combination of
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focused on HIV prevention. Key Responsibilities Data Analysis and Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL
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: [email protected] , https://medicine.yale.edu/lab/tumor-neuroimmunology-lab/ Introduction of School/Department: Embedded within the Yale School of Medicine, Yale Cancer Center, and the Yale Center
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Computational Translation at Yale (IMPACT-Y) study. This large-scale, longitudinal project is designed to advance computational psychiatry by integrating mechanistically informed behavioral tasks with theory
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-related mindsets; the mechanisms and moderators of emotion-focused interventions; and the design and analysis of large-scale digital and app-based research. The position also includes a role in supporting