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information on research projects in the lab, please refer to recent publications (Nature 2019, Nature Communications 2023 x 2) and the Shaul/Mineo Lab website. We are seeking highly motivated candidates with a
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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), is a transdisciplinary initiative at the intersection of biomedicine and digital sciences. The programme aims to develop translational research based on the integration of multi-omics data. In
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literature search, critical thinking, designing and carrying out experiments, data management, writing papers, and maintaining research resources in the lab. Opportunities exist in the following research areas
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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acquire additional skills and be involved in the analysis of single-cell RNA Sequencing, WES, and in situ transcriptomics data. Trainees will present their findings at regular lab meetings, departmental
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) for hypothesis development, experimental design, and execution. Participate in data processing, analysis, discussion, reporting, presenting findings at conferences, and manuscript drafting. Work effectively within