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MUSC Health & Medical University of SC
Charleston, South Carolina, United States
(on-site)
30+ days ago
Prisma Health
Greenville, South Carolina, United States
(on-site)
30+ days ago
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MUSC Health & Medical University of SC
Charleston, South Carolina, United States
(on-site)
11 days ago
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MUSC Health & Medical University of SC
Charleston, South Carolina, United States
(on-site)
Posted
30+ days ago
MUSC Health & Medical University of SC
Charleston, South Carolina, United States
(on-site)
Job Type
Full-Time
Description
Job Description SummaryNLM Training Grant (T15) Funded Postdoctoral Position in Biomedical Informatics and Data Science for Health Equity (SC BIDS4Health)
South Carolina Biomedical Data Science and Informatics (BDSI) program seeks to fill a new NLM training grant-funded postdoctoral position. BDSI (established in Fall of 2017) is an interdisciplinary and joint program between the Medical University of South Carolina (MUSC) and Clemson University. BDSI program applies concepts and methods from computer science and other quantitative disciplines together with principles of information science to solve challenging problems in biology, medicine, and public health. Specialized tracks currently include precision medicine, population health, and clinical and translational informatics. The program is a unique collaboration for transformation of the health systems of South Carolina that leverages Clemson University's strengths in computing, engineering, and public health and MUSC's expertise in biomedical sciences and healthcare delivery. The program is based on integrating core competencies from the fields of biomedical informatics (Kulikowski et al. 2012, Valenta et al. 2018) and data science (Margolis et al. 2014).
Entity
Medical University of South Carolina (MUSC - Univ)
Worker Type
Employee
Worker Sub-Type
Regular
Cost Center
CC000955 COM Biomedical Informatics Center CC
Pay Rate Type
Salary
Pay Grade
University-00
Pay Range
$0 - $0 - $0
Scheduled Weekly Hours
40
Work Shift
Job Description
NLM Training Grant (T15) Funded Postdoctoral Position in Biomedical Informatics and Data Science for Health Equity (SC BIDS4Health)
South Carolina Biomedical Data Science and Informatics (BDSI) program seeks to fill a new NLM training grant-funded postdoctoral position. BDSI (established in Fall of 2017) is an interdisciplinary and joint program between the Medical University of South Carolina (MUSC) and Clemson University. BDSI program applies concepts and methods from computer science and other quantitative disciplines together with principles of information science to solve challenging problems in biology, medicine, and public health. Specialized tracks currently include precision medicine, population health, and clinical and translational informatics. The program is a unique collaboration for transformation of the health systems of South Carolina that leverages Clemson University's strengths in computing, engineering, and public health and MUSC's expertise in biomedical sciences and healthcare delivery. The program is based on integrating core competencies from the fields of biomedical informatics (Kulikowski et al. 2012, Valenta et al. 2018) and data science (Margolis et al. 2014). The NIH/NLM T15 program (https://www.nlm.nih.gov/ep/GrantTrainInstitute.html) currently supports 18 top biomedical informatics and data science academic programs in the USA. This position is funded by a T15 award to MUSC and Clemson University.
We offer team mentorship by focusing on unique and distinct needs of each trainee using robust individual development plans. BDSI faculty at Medical University of South Carolina and Clemson University have diverse academic and clinical expertise and established academic records. Under the guidance of our faculty the trainees will develop analytical, academic, management, and mentorship skills to further advance their careers. The position comes with support for travel to scientific meetings and workshops and additional funding for research training-related expenses. SC BIDS4Health is committed to diversity and strongly encourages applications from individuals in groups that are underrepresented in the biomedical sciences.
Postdoctoral candidate selection criteria: 1) prior research productivity, 2) research interest and experience, 3) quality and performance during prior training, and 4) recommendations of predoctoral mentor or previous postdoctoral mentor. All candidates will be evaluated for their commitment to a career in academic research relevant to serving rural and underserved populations by application of biomedical informatics and data science. Details of such commitment has to be included in the Research Statement.
Salary: at NRSA-level with insurance and other University-sponsored benefits.
Start Date: July 1, 2024; Appointment is for 1 year initially with possibility of renewal for another year given excellent progress and contingent on availability of NIH funding.
Location: This recruitment is for our MUSC campus. Founded in 1824, MUSC is the state's largest medical complex, has the state's only National Cancer Institute-designated cancer center, and is the largest employer in the metropolitan Charleston area. MUSC ranks in the top quartile of domestic educational institutions in funding for research and is home to a Clinical and Translational Science Award. Charleston, SC is a vibrant and diverse community renowned for its music, arts, and culinary scene, with ample opportunities for coastal outdoor activities.
Application materials: (1) Letter of interest/cover letter; (2) Research statement; (3) Academic CV; (4) Contacts of 3 professional references. Contacts: Submit inquiries to Taneisha Simpson (simpst@musc.edu)
MUSC Minimum Requirements: Ph.D or Equivalent
Job Duties:
35% Develops new research projects and submits career development and/or exploratory/developmental research grants (e.g., F32, K23, R21) according to concepts agreed upon between fellow and mentorship team. Applies concepts and methods biomedical informatics and data science and other quantitative disciplines together with principles of information science to solve challenging problems in biology, medicine, and public health.
25% Leads and contributes to the development, data analysis, writing, and publication of scientific manuscripts involving the principal investigator and other lab members.
25% Under the guidance of our faculty mentorship team set and achieve specific goals related to development of analytical, academic, management, and mentorship skills to further advance their careers.
5% Oversees the activities of employees, graduate assistants, and others engaged in research or related activities.
5% Advises principal investigators and others on research techniques and procedures.
5% Performs other duties as assigned.
Additional Job Description
Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Continuous) Ability to perform job functions in a seated position. (Continuous) Ability to perform job functions while walking/mobile. (Frequent) Ability to climb stairs. (Infrequent) Ability to work indoors. (Continuous) Ability to work in all cold temperature extremes, i.e. spot coolers. (Frequent) Ability to bend at the waist. (Frequent) Ability to twist at the waist. (Frequent) Ability to perform 'pinching' operations. (Continuous) Ability to fully use both hands/arms. (Continuous) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Continuous) Ability to fully use both legs. (Continuous) Ability to reach in all directions. (Continuous) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to maintain good olfactory sensory function. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Frequent) Ability to lift objects, up to 15 lbs., from floor level to height of 72 inches, unassisted. (Frequent) Ability to lower objects, up to 15 lbs., from height of 72 inches to floor level, unassisted. (Frequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to lift and carry objects up to 15 lbs. a distance of five (5) floors and to outlying buildings. (Frequent) Ability to maintain 20/40 vision, corrected. (Continuous) Ability to see and recognize objects close at hand. (Continuous) Ability to see and recognize objects at a distance. (Continuous) Ability to match or discriminate between colors. (Continuous) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Continuous) Ability to be qualified physically (by medical personnel) for respirator use, initially and annually. Ability to work alone in isolated areas, such as darkrooms. (Frequent) Additional New Requirements: Ability to obtain and maintain a valid drivers license. Computer literacy. Ability to work rotating shifts as required. Ability to work overtime as required. Ability to learn and use new processes, tools and equipment as required.
If you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
Not employed or contracted at MUSC?
Job ID: 75972185
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