Postdoctoral Position in Computational Diabetes

6 days left

Location
Utah
Salary
NIH scale
Posted
Jul 30, 2019
Closes
Sep 30, 2019
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.           

Trainee positions:

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.

Program Details:

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.

Program Requirements:

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.

 

Application Instructions:

Applications should include the items below. Items 1-6 should be compiled into a single PDF and emailed to Barbara.saffel@utah.edu..

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 barbara.saffel@utah.edu.

 

 

 

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.saffel@utah.edu or 801-213-3730

Apply for Postdoctoral Position in Computational Diabetes

Already uploaded your resume? Sign in to apply instantly

Apply

Upload from your computer

Or import from cloud storage

Your CV must be a .doc, .pdf, .docx, .rtf, and no bigger than 1MB


4000 characters left

When you apply for a job we will send your application to the named recruiter, who may contact you. By applying for a job listed on Mendeley Careers you agree to our terms and conditions and privacy policy. You should never be required to provide bank account details. If you are, please email us.
Please make sure you have the appropriate visa needed for the country you are applying to.

Similar jobs

Similar jobs