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mechanisms, biomarkers, and therapeutic targets in solid tumors through multi-omics data analysis of large pan-cancer datasets, including proteogenomic data generated across high-throughput profiling platforms
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, Computational Biology, or a related field. • Experience in data engineering, AI/ML systems development, or related applied research, with a track record of handling large-scale biological or clinical datasets
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quality results including experience of working on clinical trials and other large research projects Experience and/or knowledge of techniques and methods including multi-level or linear mixed effects
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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, or similar languages, and experience working with large or complex datasets Interest or experience in regulatory science, pharmaceutical or health policy, clinical evidence evaluation, or the analysis
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these efforts, we aim to accelerate the translation of molecular and clinical insights into tools that improve patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a
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health, statistical analysis for clinical trials, or big data analysis. Demonstrated track record engaging in fieldwork, involving meeting with stakeholders including study participants, clinicians
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research, and project management to deliver high quality results including experience of working on clinical trials and other large research projects Experience of utilising the Mental Capacity Act, 2005
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and