Newborn Screening Bioinformatics and Data Analytics Fellowship

Association of Public Health Laboratories (APHL)

The Newborn Screening Bioinformatics and Data Analytics fellowship offers post-masters or post-doctorate bioinformatics professionals the opportunity to apply their skills in a public health setting. Previous projects have included bioinformatics hardware implementation, development of custom gene panels and analysis for specific populations, development and validation of novel pipelines for second-tier testing, database development, in silico datasets creation, comparison of unsatisfactory to satisfactory specimens, and other relevant computational projects. Candidates should hold a masters or PhD in bioinformatics, statistics, data science, genomics, or a related discipline.

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  • Deadline: Feb 28, 2022 (Estimated)*
  • Work Experience: none, 0-5
  • Location: North America
  • Citizenship: United States
*Please check the fellowship's website to confirm deadlines.
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