This Position is Grant Funded

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 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

SCIENTIFIC DATA MANAGER I

Duke Human Vaccine Institute

Occupational Summary 

The Scientific Data Manager I is responsible for managing the data outputs from scientific programs, overseeing data curation, and uploading data to repositories. The Data Manager serves as a resource for investigators within the Institute. 

Work Performed 

Data Managers are tasked with managing basic science and clinical data outputs dedicated to pre-clinical and clinical studies across several different models including but not limited to manufacturing, vaccines and therapeutics, and/or Phase 1/2/3/4 clinical trials and human challenge studies. Specific duties are defined below: 

• Develop protocols and implement workflows for uploading data from internal and external collaborators into new and existing database portals, communicating with data teams to define and refine what information is deposited, and data validation. 
• Perform data transformation and data visualization using various platforms and communicate findings with multiple scientific teams. 
• Participate in multiple discussions with internal and external stakeholders to review and prioritize data deliverables, understanding scientific questions under discussion. 
• Create report templates, inform data reports, and draft final reports for data analysis and data disposition. 
• Collaborate and communicate effectively, build trust and relationships within and across teams, collect requirements, and ensure solutions/responses meet users’ needs. 
• Coordinate with leadership to write and maintain protocols. 
• Develop, test, and maintain scripts and workflows for the automated transfer of information between internal and external systems.  
• Work with regulatory teams and laboratories to facilitate queries into the inventory and/or clinical electronic data capture databases while maintaining confidentiality and adherence to all appropriate regulatory requirements. 
• Create templates and workflows in Laboratory Information Management Systems such as Agilent SLIMS and Electronic Laboratory Notebooks such as LabArchives ELN. 
• The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. 

Required Qualifications at this Level

• Education/Training: Completion of an Associate degree in basic science, public health, clinical research or other related scientific field.
• Experience: Two years of data management or research experience. A Bachelor degree may substitute for 2 years required experience.
• Skills: Experience in Biotech, Biopharma, or Clinical Trials is strongly preferred. Additional training in data management or related training is desired. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION OR EXPERIENCE.

Preferences

• Experience with at least one coding or scripting language strongly preferred.
• Candidates with direct experience in REDCap and/or a laboratory information management system will be particularly competitive.

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