ANALYST, IT

Work Arrangement:

Requisition Number: 224668

Regular or Temporary: Regular

Location:

Durham, NC, US, 27710

Personnel Area: MEDICAL CENTER

Date: Apr 28, 2024

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.

Summary

AI Engineers are experts within Duke Radiology’s imaging analytics and data sciences research centers regarding the application of advanced analytical methods to improve health care delivery, cost, quality, and outcomes. AI Engineers use data science and software engineering techniques to create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders with a high degree of impact.

Responsibilities

Designs and develops enterprise-class, advanced analytic models to understand and solve complex problems. Creates models by analyzing large data sets from various sources and processes.
Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
Develop and maintain algorithms, data packages, automated processes, and services to create a data science backed solutions that meets a business needs and supports Radiology objectives, products and improves while also improving processing efficiency.
Apply software engineering and machine learning skills to build data science & machine learning products to improve that provide automation and improve business and user experience
Utilizing machine learning techniques, design and build data science solutions and machine learning products — from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated services
Draft manuscripts
Conduct Basic statistical analysis

Education Requirements

Requires a Bachelor's degree in a related field
Masters or PhD preferred

Professional Experience Requirements

Required one or more years of related experience.

Knowledge/Skills/and Abilities Requirements

Requires prior experience with R, Python, or other analytics/data mining tools, databases, and computer programming.
Requires prior experience in developing complex solutions utilizing programming and/or software tools
Requires prior experience in building and deploying predictive models and other analytic translational research.
Theoretical fluency and working proficiency in the application of a broad array of statistical methods
Strong analytical and problem-solving skills along with ability to work with large, complex data sets, performing data mining, validation and analysis to trend and interpret information.
Ability to interpret and summarize results of various analyses in a timely and meaningful way is required.
Strong skills in data visualization concepts and techniques.
Ability to work professionally and autonomously. Demonstrated ability to set project plans and achieve them.
Excellent listening, interpersonal and communication skills. Must maintain excellent communications with customers and stakeholders
Comfortable and proficient in executing in virtual and/or cloud computing environments

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.