Postdoctoral Position in Computational Diabetes
6 days left
- Contract Type
- Full Time
U.S. citizens, U.S. nationals or a permanent resident of the U.S
Overview of the Program
The University of Utah Interdisciplinary Training T32 Program in Computational Approaches to Diabetes and Metabolism Research will cross-train a cadre of predoctoral and postdoctoral trainees in the computational and mathematical sciences and in the biological basis of diabetes and obesity. These bioinformatics scientist trainees will gain the expertise and leadership skills to apply computational and mathematical methods to complex biological questions that will ultimately impact the prevention, treatment, and outcomes of people with diabetes and related metabolic diseases. This training program will consist of a combination of mentored research and career development training, coursework, and extensive interactions with faculty and trainees across campus and beyond.
At this time, we are requesting applications for two postdoctoral positions only. Trainees may have either a computational or biological background, but must propose to be cross-trained as part of this program.
Each trainee will be required to have at least one computational and one biological mentor to serve as the foundation of their mentoring team. Computational Mentors can be pulled from the broad fields of Genomics, Clinical Informatics, Big Data Analytics, Mathematical Biology, Data Visualization and Scientific Computing, and Structural Computing. Biological Mentors can be pulled from research themes of Adipose Biology and Insulin Control, Metabolic Mechanisms, and Diabetic Complications and Vascular Biology. Mentors for this training Program are listed in the tables at the end of this document. Mentors not included in these lists and from different research areas may also be eligible to participate in the program.
1. Dual-Mentored Research: Each Trainee is required to participate in dual-mentored research with at least one computational and one biological mentor, spending time in both mentors research space.
2. Computational Approaches to Diabetes and Metabolism Research Interest Group: Trainees will be required to attend this new monthly interest group as it will serve as the program hub.
3. Seminar Attendance: Trainees will be required to attend the Seminars in Metabolism Lecture Series and/or other Departmental Seminar Series.
Applications should include the items below. Items 1-6 should be compiled into a single PDF and emailed to Barbara.firstname.lastname@example.org..
1. Computational Approaches to Diabetes and Metabolism Training Grant Cover Page (attached to this email).
2. Your curriculum vitae, including the following: a) List of all publications to date; b) Degree(s) earned, including both the month and year earned; c) Research Experience and other Positions, including both the month and year of each start/end date; d) Identify any prior NRSA support.
3. A short (2 page) carefully thought out summary of your proposed research project. Summarize the problem (include some strategic literature references), preliminary data, and your research goals for your tenure as a Graduate Student or Postdoctoral Trainee on this training grant. There is a limit of 2 pages, including figures, but excluding References. (References may be included as additional pages). Font must be 11pt Arial with 1 inch margins.
4. Mentorship Plan (1/2 page max). This should be developed in collaboration with both computational and biological mentors. This plan should address the role of each mentor in your mentoring committee and proposed training.
5. Statement of Career Goals (1/2 page max).
6. For graduate students - Copies of your academic transcripts, both undergraduate and graduate.
7. For graduate students - Copy of the original report of your GRE scores. Please state prior degree, University and GPA.
8. Two recommendation letters, one from each proposed computational and biological mentor. At least one mentor’s letter should comment on the independence with which the applicant composed the proposal. Letters of recommendation may be emailed directly to email@example.com.
Additional Training Grant Policies that you should be aware of are:
1. The primary criteria for selection will be a) scientific excellence, b) relevance of the proposed research to diabetes, obesity, or metabolism (as the grant funder is NIDDK), c) level of cross-disciplinary training proposed, d) potential for future applicant success (publications, grants, etc).
2. The NIH strongly encourages applications from a) underrepresented minorities, b) disabled individuals, and c) individuals from a disadvantaged background.
3. We particularly encourage applications from predoctoral trainees in year 2 or 3 of training and postdoctoral trainees in year 1 or 2 of training. However, trainees in all training years may apply.
4. Support is provided for a maximum of 2 years. Second year support is subject to evaluation by the training grant steering committee and availability of grant funds. In certain circumstances, only one year of support may be available.
5. NIH requires that trainees be U.S. citizens, U.S. noncitizen national or a permanent resident of the U.S.
For additional information, please contact Barb Saffel, Barbara.firstname.lastname@example.org or 801-213-3730
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