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Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and
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or Bioinformatics. Excellent writing skills in English. Experience with next generation sequencing data analysis is a plus. Knowledge in cancer biology or genetics is preferable. Able to work in a team environment
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and disease research, as well as prevention, diagnosis, and treatment of different forms of breast cancer. We are looking for a candidate with a background in computational biology/bioinformatics who
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a related field. No experience required. Preferred Qualifications A Ph.D. in Genetics, Bioinformatics, Computational Biology, or a related field. Strong background in population genetics, statistical
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computational biology, in combination with basic and/or translational cancer research, are strongly encouraged to apply. Candidates will join a team of multidisciplinary research investigators studying cancer
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advanced technology cores, animal facilities, and high-performance computational resources to conduct their experiments. Houston is among the most diverse cities in the country, with many cultural amenities
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. Performs other job-related duties as assigned. Minimum Qualifications A Ph.D. in bioinformatics, computational biology, or related disciplines is required. Research experience with Omics data is required
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or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications A Ph.D. in Genetics, Bioinformatics, Computational Biology, or a related field. Strong
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Qualifications PhD in Bioinformatics, Computational Biology, Statistics, or a related field. Strong programming skills in R and/or Python, and familiarity with bioinformatics tools, databases, and resources
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flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult cancers. The training provides