You can provide the tools necessary to deliver cutting-edge health care and groundbreaking research. As part of our Information Technology team, you’ll ensure that our medical professionals have access to the latest breakthroughs in technology, and you’ll play a key role in protecting our global patient community.
Join UCLA Health and step into a pivotal role within our esteemed healthcare system. Utilize state-of-the-art technology to enhance patient care and advance your career. Cultivate your passion for IT and healthcare while making a meaningful impact with UCLA Health.
As the Application Programmer III you will be responsible for designing, implementing and maintaining web-based applications and databases integrating clinical, imaging and pathology data. It is expected that you collaborate with faculty researchers, clinicians and IT staff to develop cutting-edge biomedical applications utilizing Python, RESTful services, HTML, SQL, CSS, JSON, SSL, XML and JavaScript. Adherence to institutional policies ensuring confidentiality of protected health information and the ability to work independently and as part of a multidisciplinary team is essential.
Salary: $71,500 – $154,900 Annually
- Bachelor’s degree in Computer Science, Electrical engineering or related field – required
- Masters degree in Informatics or related filed – preferred
- At least 2 years of relevant professional experience or possess a MS in Computer Science, Biomedical Informatics, Electrical Engineering, Information Science or related field – required
- Knowledge and experience in the development of entity-relationship databases, with technical expertise in SQL
- Prior knowledge and experience in data science methods such as dealing with unstructured free-text data and familiarity with data standardization and cleaning techniques (e.g., coding methods, de-identification of sensitive data, etc.)
- Familiarity with clinical data models and standards (e.g., FHIR, DICOM, Epic Clarity, etc.)
- Demonstrated experience with machine learning and packages (e.g. Pandas, scikit-learn, tensorflow, pytorch).
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