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in population genetics, statistical genetics, or a closely related area. Proficiency in statistical and bioinformatics tools and programming languages (e.g., Hail, R, Python). Experience with
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first or senior-position peer-reviewed publications. Demonstrate proficiency in programming languages such as SQL, Python, and R for data analysis and algorithm development, especially in software
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therapeutic strategies. Our research program is highly collaborative and integrative, using cutting-edge experimental approaches involving cell culture system, primary cell and organoid cultures, ex vivo models
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regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent
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Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field. Strong programming skills