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, partnerships, data, analytics, and innovative technologies across CDC and partner organizations to strengthen the nation's ability to identify and understand emerging biological threats. A key research and
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scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other
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, TD-GC–MS, LC–MS, or other comparable advanced analytical platforms; Demonstrated skills in the collection and interpretation (including statistical analysis) of high resolution mass spectrometric data
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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analytical tools and pipelines for sequence data generated by Sanger sequencing, targeted NGS, enrichment NGS, and metagenomic sequencing. Analyzing and interpreting sequencing results and integrate laboratory
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). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Strong
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analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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public health insights. Train with Registry scientists to apply analytic methods using data from the National ALS Registry and Biorepository. Understand how to identify research gaps, refine research
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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reproducible analytic workflows, integrating data from multiple sources, creating data visualizations, and contributing to scientific reports, presentations, and manuscripts. This fellowship will provide a