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: Proven track record of research excellence, as demonstrated by publications in top peer-reviewed journals. Skills: Strong analytical and problem-solving abilities, excellent communication skills, and the
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research related to mental health and addiction services utilization and quality of care. Experience working with Medicaid, Medicare and/or commercial claims data, a deep understanding of analytical methods
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to date on career information and the latest news from the Wyss Institute. Basic Qualifications What you’ll Need: Ph.D. in Chemistry, Bioengineering, Materials Science, Analytical Chemistry, Electrical
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-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression, therapeutic response, and immune evasion across
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics
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,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role: The Wyss Institute for Biologically Inspired
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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data