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cell, foundation models, graph neural networks, or multimodal omics integration). Epigenetics (DNA methylation, chromatin analysis, single-cell epigenomics). Stem cell research (iPSC culture
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. Applicants should have a Ph.D. in Biological/Biomedical Sciences, Microbiology, Bioengineering, or a related field, with experience in cell culture, molecular and cell biology, and animal models. Skills in
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related discipline, with substantial experience in cell culture, molecular techniques, and animal handling. Preference will be given to candidates with expertise in the study of reproductive biology and
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, chromatin analysis, single-cell epigenomics). Stem cell research (iPSC culture, differentiation, organoids, neural models). Experience with CRISPR, organoid technology, or mRNA therapeutics is a plus. Proven
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approaches to enhance the specificity and efficiency of advanced therapeutics, with a particular emphasis on addressing challenges related to tissue penetration and targeted delivery. Conduct cell culture
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regulatory guidelines. Lead the exploration and application of innovative analytical approaches. Manage a team of data scientists and business intelligence (BI) professionals, fostering a culture of scientific
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of data scientists and business intelligence (BI) professionals, fostering a culture of scientific excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI
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will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell/organoid culture, cellular/molecular biology, flow cytometry
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/organoid culture, cellular/molecular biology, flow cytometry, animal studies, and cancer-related research work. Applicants should have good communication skills, be self-motivated, have the ability to multi