DATA SCIENCE ANALYST
School of Nursing:
Established in 1931, Duke University School of Nursing is among the top ranked of the nation’s nursing schools. The School is proud of its overarching commitment to transform the future of nursing to advance health in individuals, families and communities. Members of the School of Nursing are part of an inclusive community that supports the professional goals of its people as they pursue excellence.
Comprised of 1,600 faculty, staff,instructors and students, the Duke University School of Nursing along with the Duke University School of Medicine and Duke University Health System create Duke Health. Duke Health is a world-class health care network. Founded in 1998 to provide efficient, responsive care, the health system offers a full network of health services and encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Private Diagnostic Clinic, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
The data analyst will work individually or in a team to primarily support a NIH-funded multi-site project led by Dr. Xiao Hu, which aims to develop predictive solutions of clinical targets related to delayed cerebral ischemia using multimodality data from electronic health record and/or bedside patient monitors. The candidate will provide a wide range of technical support and integration services from building new database, optimizing/harmonizing a research dataset, and implementation of proof of concept software-based solutions to embed the advanced machine learning algorithms. The data analyst is a critical resource that also contributes to the Duke School of Nursing’s mission toward establishing a strong data science program.
This position exists within the Center for Nursing Research – Clinical Research Unit and reports to the Assistant Dean for Research Development.
1. Create and manage a clinical database
a. Meet with project team members to identify specifics needs and requirements for clinical database.
b. Design and implement a database to store large datasets in a secure server space as required by project condition (e.g., PACE for EHR data, DUSON server for other research data, etc.).
c. Work closely with faculty, staff, and SON-IT to effectively assess technical requirements and hardware needs.
d. Maintain and manage the databases by providing necessary security updates, software upgrades, and troubleshooting services.
2. Organize a dataset to facilitate analyses
a. Extract data from various data repositories and sources.
b. Structure and convert a dataset in a format that can be processed by various data analytics software and tools (e.g., SAS, SPSS, R, Matlab, Python etc.).
c. Transfer data into a new format to make it more appropriate to analysis
3. Build a software-based tool to automate data cleaning, harmonization, and reports to facilitate the algorithm development
a. Work with researcher to integrate a machine learning and AI solution.
4. Design and implement software prototypes
a. Design and implement backend and frontend software solution to meet the needs of showing proof of concept of predictive analytics that are developed from the research.
b. Implement, deploy, and maintain software prototype.
5. Deeply understand analysis and researcher workflow
b. Implement, update, deploy, and maintain the integrations.
6. Create and maintain clear and concise documentation of the internal technical procedures
7. Adhere to institutional policies related to data provenance, storage, management, security and sharing.
8. Assist and implement security of technology solutions working closely with SON-IT
a. Participate in developing and implementing a disaster recovery plan to ensure seamless data access.
b. Design, implement, maintain, upgrade, and patch systems to be compliant with Duke Medicine's security policies and standards regarding protection from external and internal security attacks. (Regularly review a reliable method to receive notices of new security patches for all information system components administered. Implement critical and urgent patches within 72 hours of a patch being available, including testing.)
Work requires a Bachelor's degree in mathematics or computer science or a computer-related field or equivalent coursework or technical training.
Work requires two years applications programming experience with some responsibility for systems design and supervision or project coordination.
OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Preferred candidates will have acquired:
• A Master’s degree in computer science or computer engineering.
• A minimum of 4 years of working experience in related field.
• At least 3 years of database development including C#, Java, R, SQL, PL/SQL programming.
• Experience with data conversion of with physiological waveform data files from various clinical tools (e.g. BedMaster and Moberg CNS monitor).
• Experience in Full-stack web development, preferably to render and analyze physiological data from acute care settings
• Experience working with EPIC systems, OMOP and familiar with various medical terminology.
• Strong communications skills
• Strong analytical and problem-solving skills
• Developing and maintaining relational database systems such as MySQL, Oracle, and/or Microsoft SQL Server
• Fluency in using SQL database and in-memory database like Redis
• Experience with version control and deployment procedures
• Experience with agile development in JIRA or Trello
• Experience interacting with researchers in the field and external organization
• Able to handle complex clinical research projects in acute care settings
• Ability to learn new technologies quickly and eagerly
• Ability to work independently, multi-task, and complete development activities in a highly dynamic work environment
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