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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic
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details, visit https://postdocs.yale.edu/postgrads/being-a-postgrad-at-yale/benefits. Qualifications/Education and Preferred Experience Emerging scholars with a Master’s degree in art history, studio art
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, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices. Excellent communication, stakeholder engagement and collaboration
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 14 hours ago
epithelial cell or tissue culture, permeability and transport testing, aerosol- or cloud-based exposure, assessment of epithelial barrier integrity and assay performance, regional deposition testing, mucus
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evidenced by publications or submitted manuscripts in refereed journals Experience with computational protein design (desirable) Experience working with cloud/HPC environments, workflow orchestration
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. Familiarity with Salesforce, Marketing Cloud, iwave and CMS platforms. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Workspace. Knowledge or interest in science, international
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expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge
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. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous. You will be a highly
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, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical research environment What We Offer