The Vanderbilt Clinical Informatics Center, a world-leading group of researchers and practitioners studying how to make EHRs work better, with a particular focus on innovative clinical decision support systems, artificial intelligence, and machine learning, has recently initiated a Clinical Informatics Core. The Core will support a range of research (and some operational) activities and work with and across clinical departments at Vanderbilt to optimize clinical care. We are seeking a full time Application Developer to join our team and support these projects. See the full VCLIC job description here.
Candidates for the Application Developer role will have an interest in and aptitude for data science and data analytics, especially in health care. They will be working with Epic (VUMC’s EHR) databases and reporting tools, especially Clarity, to support several research and operational projects with a diverse range of clinical impacts. Potential projects include querying Clarity to pull specific subsets of data for various research and operational projects, developing or improving clinical decision support tools to detect adverse events in the VUMC patient population, developing dashboards to understand trends and criteria of specific subsets of patients that see VUMC providers, and using data to understand and improve several other EHR-related functionalities. Competitive candidates will have extensive SQL experience, and skill in programming languages such as Python or R is beneficial.
- Bachelor’s degree in computer science, mathematics, informatics, statistics, or related field, and an interest in healthcare and the use of information technology to support clinical care.
- 2 years relevant experience.
- Strong SQL skills.
- Experience with software development and algorithms.
- Knowledge of machine learning and artificial intelligence desirable.
- Experience with industry-leading interactive data visualization and digital business intelligence products such as Tableau preferred.
- Strong analytical and problem-solving skills, with the ability to independently draw conclusions from data.
- Strong PC Skills required, including extensive knowledge of MS Excel, knowledge of other MS Office suite applications, and at least one Statistical Analysis Program (R, SPSS, SAS, etc.).
- Excellent interpersonal skills required for working with leadership and healthcare professionals.
- Ability to work independently with only general supervision.
- Excellent organizational skills and ability to prioritize a variety of tasks.
- Careful attention to detail.