Durham, North Carolina

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation’s top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.

Occupational Summary

The Xenon MRI Shared Resource (https://sites.duke.edu/driehuyslab/) at Duke University is recruiting a Data Manager to support magnetic resonance imaging (MRI) research using hyperpolarized xenon gas imaging, a specialized technique for obtaining high-resolution 3D images of lung function. Our team is advancing this state of the art technology to ultimately help improve the care of patients with a wide range of pulmonary diseases.

 

The Data Manager will play a central role in managing and maintaining a variety of data used in support of research projects and clinical studies. The position will support multiple aspects of day-to-day lab operations, including coordinating analysis and QC of incoming datasets, data archival and retrieval, generating reports, and creating population-level datasets for statistical analysis. We acquire multiple scans per week which need to be processed and summarized to external stakeholders on an ongoing basis, so the Data Manager must have an attention to detail, good interpersonal skills, and the ability to track multiple deadlines and priorities.

 

There will also be opportunities to assist in polarizer operations, develop new data analysis software tools, and assist in larger projects in data analysis and quantification. Candidates should be versatile, creative, and enthusiastic about scientific research.  

 

Work Performed - Key Responsibilities:

  1. Coordinate small team of analysts to ensure timely processing of incoming data. Perform regular QC and update status dashboards. Ensure data is stored properly for future retrieval. Perform image analysis as needed.
  2. Compile and store non-imaging study data from other sources (e.g. clinical measurements, demographic data) for use in creating analysis datasets
  3. Combine MRI and non-imaging data into study-level datasets for statistical analysis as needed
  4. Develop programs and scripts to streamline and automate various aspects of image analysis and data retrieval
  5. Assist with administrative work and project management for clinical studies with external sponsors
  6. Generate reports and figures from data as needed to support grants, publications, etc.
  7. Maintain and improve shared data and documentation infrastructure (network drive, Box, Slack, etc) 
  8. Assist in on-site operation of hyperpolarization equipment as needed
  9. Develop and participate in additional research projects as schedule and opportunities permit

 

Please send resume/CV and cover letter to david.mummy@duke.edu or contact him for questions.

 

The intent of this job description is to provide a representative overview and level of the types of duties and responsibilities that will be required of positions given this title and shall not be construed as a declaration of the total of the specific duties and responsibilities of any particular position. Employees may be directed to perform job-related tasks other than those specifically presented in this description.       

 

Minimum Qualifications

 

Education

Work requires an Associates in Computer Science or equivalent technical training, or non-technical Bachelor degree.

Experience

 

2 years data management, research or medical experience. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE

 

Preferences:

BS or equivalent degree in physical sciences, engineering, mathematics, statistics, or computer science.

The ideal candidate will demonstrate hands-on experience with data management and coding in R, Python, and/or MATLAB. Experience with SQL is a plus. Experience with quantitative image analysis is also particularly desirable.

 

Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

 

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

 

Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

 

Durham, North Carolina

As a world-class academic and health care system, Duke Health strives to transform medicine and health locally and globally through innovative scientific research, rapid translation of breakthrough discoveries, educating future clinical and scientific leaders, advocating and practicing evidence-based medicine to improve community health, and leading efforts to eliminate health inequalities.

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