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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 8 days ago
. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable for program
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses
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in incorporating stakeholder and customer feedback to ensure they align with program learning needs and priorities. Advance the fellow’s professional development by engaging in targeted learning
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and personnel in the weed science program. Further, the candidate will assist the program with communications, accounting, report preparations and other administrative duties as assigned. A strong work
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program will harness state-of-the-art 'omics' technologies, including comparative genomics, population genomics, and transcriptomics, to: Utilize genomic and transcriptomic data to build comprehensive
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. Required Qualifications: Outstanding verbal and written communication and organizational skills Willingness to learn new experimental and computational skills Strong interpersonal skills, motivated to lead a
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 8 days ago
foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets