Call for Applications for NIH Funded Big Data to Knowledge (BD2K) Fellowship
July 11 - 14, 2016
Request for Application for NIH funded BD2K Fellowship
Precision medicine’s promise to deliver the right treatment at the right time relies on our ability to extract information from high-dimensional data sets that combine traditional clinical data in electronic health records with data generated by high- throughput technologies. To meet this challenge, new approaches for data representation, integration, analysis, visualization and sharing need to be developed collaboratively by quantitative scientists, biomedical researchers, clinicians, and bioethicists.
We are seeking fellowship applications for a joint Weill Cornell Medicine, Johns Hopkins Medicine, and University of Minnesota week-long Big Data Coursework for Computational Medicine (BDC4CM) funded by the U.S. National Institutes of Health (NIH). BDC4CM will emphasize how to navigate the interface between research and practice by offering participants in-depth lectures, case studies and hands-on training from leading researchers in academia and industry.
- Data and knowledge representation standards
- Information extraction and natural language processing
- Visualization analytics
- Data mining and predictive modeling
- Privacy and ethics
- Applications in comparative effectiveness research and population health research and improvement
- Receive tailored, in-depth instruction, hands-on laboratory modules, and case studies
- Survey the most relevant research domains for big data in healthcare
- Interact with distinguished scholars and world-renowned experts from academia and industry
- Assist and advise trainees with career placement and advancement opportunities
- Christopher G. Chute, M.D., Dr.P.H. (Johns Hopkins University)
- Stephen Johnson, Ph.D. (Weill Cornell Medicine)
- Rainu Kaushal, M.D., M.P.H. (Weill Cornell Medicine)
- Vipin Kumar, Ph.D. (University of Minnesota)
- Fernando Martin-Sanchez, Ph.D. (Weill Cornell Medicine)
- Claudia Neuhauser, Ph.D. (University of Minnesota)
- Jyotishman Pathak, Ph.D. (Weill Cornell Medicine)
- David S. Pieczkiewicz, Ph.D. (University of Minnesota)
- Susan M. Wolf, J.D. (University of Minnesota)
- Application Site Opens
- February 1, 2016
- Application Deadline
- March 31, 2015
- Selection Notification
- April 15, 2016
- Deadline for Acceptance Reply
- April 30 2016
- July 11 - 14, 2016
- Faculty, scientists, post-doctoral fellows and researchers with a PhD, MD, or equivalent in computer science, biomedical informatics, bioinformatics, statistics, health information technology or a related degree
- Graduate students in good standing and currently enrolled in a PhD, MD, or equivalent program in computer science, biomedical informatics, bioinformatics, statistics, health information technology or a related degree
- Must be an U.S. citizen, U.S. permanent resident, or a non - U.S. citizen with a valid temporary U.S. visa
We anticipate accepting 20 applicants with a variety of academic backgrounds and experiences.
This grant has been awarded by the U.S. National Institutes of Health (R25 EB201381) and will provide 20 competitively awarded fellowships including:
- Travel stipend
- Registration Fees
- Breakfasts, Lunches, and Break Refreshments
- Travel arrangements to and from New York City are the sole responsibility of the individual awardee.
All applicants must
- Complete the BDC4CM Application, including contact information and required documents
- Have a contact send a letter of recommendation in a separate email
Contact information to be filled out by applicant
Fellowships are limited to 20 and will be awarded competitively after review by program faculty.
Documents to be emailed by applicant
All documents may be submitted on the online application. However, should you prefer, you may choose to submit them via email to Maritza Montalvo (email@example.com) with your name in the subject line.
- If you are unable to attach your documents to the online application, please submit them via email (above). All three documents should be sent in one email as three separate PDF files.
- 1. CV/Resume
- 2. List of Experiences (courses, research, work)
- Describe your level of preparation in the field of Big Data in Computational Medicine
- 3. One-page Essay:
- Explain your career goals, previous career preparation and why participation in this course will be beneficial to your career advancement.
Document to be emailed by contact
1. Letter of Recommendation:
- The letter of recommendation should be mailed separately by the author with your name in the subject line.
|Applicant Type||Author of Letter|
|Student or postdoc||Faculty Advisor|
|University Faculty||Department Head or Dean|
Classes will be held at Weill Cornell Medicine, located in New York City's Upper East Side.
Welcome to NYC!
New York City, the most popular city in the U.S., is arguably the most diverse, energetic, and entertaining place to visit, meet, and stay. The city is serviced by three major airports: JFK, LaGuardia, and Newark Liberty, as well as two major railroad stations: Grand Central Station (NYC subways, NYC buses, and MetroNorth) and Penn Station (MTA subways, MYA buses, Amtrak, Greyhound, and more). Access to Weill Cornell Medicine from any of these hubs is possible through taxi, subway, rental car, and walking. Attractions include the Empire State Building, Statue of Liberty, Times Square, Central Park, Metropolitan Museum of Art, Rockefeller Center, National September 11 Memorial, the Museum of Modern Art, and more.
Questions? Please email Maritza Montalvo.