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novel analytics, including machine learning approaches. Responsibilities of the position include but are not limited to: (1) processing and analyzing large genomic datasets using supervised and
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. The Software Engineer will be responsible for maintaining high standards around code quality via improving design, pair programming, code reviews, etc. The code should take advantage of parallel processing to run
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genetics and familiarity with studies addressing translational genomic medicine. Applicants must have a Ph.D. or M.D./Ph.D. degree. Responsibilities may include bioinformatics analysis of genetic, genomics
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statistical genetics and bioinformatics methods to conduct biobank-scale analyses. Contribute to manuscripts, grant applications, and conference presentations. Mentor and guide trainees, staff, and junior
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sequencing core for analysis and collaborate with the bioinformatician to interpret the sequencing data. Additionally, the role includes oversight of the instrument’s operation, routine calibration, and
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behavioral testing, next generation sequencing sample preparation, bioinformatic analysis, and more. This position will also help with general lab organization including helping with general lab organization
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to recruit a Data Scientist Senior. This job requires substantial experience with meta-analysis, biostatistics, and bioinformatics. The ideal candidate will also have significant domain expertise in
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required in the specific area of T cell biology and bioinformatics. The ideal candidate will bring deep expertise in tissue culture and flow cytometry, and a broad range of immunologic techniques. A proven
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the direction of Dr. Daniel Goodman, the specialist will apply cutting-edge approaches to achieve these goals. The selected candidate will help to set up lab protocols, processes, and equipment, and then will
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next generation sequencing to determine the location of new DNA inserted into host genomes, often in the context of human gene therapy. The second project uses deep sequencing, bioinformatics and other