Apply Today to be a Newborn Screening Bioinformatics and Data Analytics Fellow (multiple locations)
Learn more about this fellowship opportunity!
Newborn Screening programs are faced with new challenges due to the expansion in the number of newborn screening conditions and the adoption of more sophisticated biochemical and molecular technologies used to improve disease detection for newborns with heritable conditions.
As we move forward to incorporate more complex testing, the analysis of newborn screening test results will require 21st century data analytic solutions to improve the positive predictive value of test algorithms while reducing the number of false positives.
APHL, in collaboration with the CDC Newborn Screening and Molecular Biology Branch, is offering exciting fellowship opportunities for graduates of bioinformatics, public health, epidemiology, human genetics, molecular biology and related programs.
The newborn screening bioinformatics and data analytics fellowship aims to train and prepare bioinformaticians to apply their expertise within public health and design tools to aid existing public health personnel in the use of bioinformatics and data analytics. The mission of the newborn screening fellowship is to provide a high quality training experience for fellows while providing workforce capacity to the public health laboratory community.
Program Specifics
The program is a full-time working fellowship for post-masters or post-doctoral level professionals and provides the opportunity to apply their skills to a range of important and emerging newborn screening bioinformatics issues, while gaining experience in their fields.
Fellows are placed in state public health laboratories throughout the US to receive training in applications of bioinformatics within a public health laboratory, and assist with newborn screening laboratory operations and research. Fellows are supervised by an experienced mentor and work on real-world newborn screening projects proposed by the host laboratory. Fellows will also collaborate on CDC-directed initiatives. In addition to their project-specific work, fellows will participate in distance-based training and learning activities to achieve proficiency in select public health laboratory core competencies.
Program Benefits
Fellows receive:
- A competitive stipend
- Allowances for required medical insurance
- Allowances for professional development
- Complimentary student membership to APHL.
The 2021 stipend is $55,000 for a post-master's-level fellow and $65,448 for a post-doctoral-level fellow. Both levels include an additional $500 monthly health insurance stipend.
Eligibility and Requirements
Applicants must have completed a master's or doctoral degree in bioinformatics or a related discipline by the start date of their fellowship. Applicants are required to have demonstrated education and/or experience in bioinformatics. Fellows should plan on starting July 1, but some flexibility in start dates may be considered to allow for degree completion. At this time, we are able to consider U.S citizens or permanent residents for fellowship positions.
Application Process
Applicants are required to submit an online application to APHL by the application deadline. The application includes:
Narrative statement
Resume or CV
Three letters of recommendation
Transcripts from all degree-granting institutions. Official transcripts will be required upon acceptance.
It is the responsibility of the applicant to ensure all materials are received by APHL by the application deadline. Applications that are incomplete or received after the deadline will not be considered.
Apply by February 28, 2021!
