Applications Programmer III - Los Angeles, United States - UCLA Health

UCLA Health Los Angeles, United States

2 weeks ago

Description

General Information

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Work Location:
Los Angeles, USA

Onsite or Remote

Flexible Hybrid

Work Schedule

Monday through Friday, 8am to 5pm

Posted Date

03/07/2024

Salary Range:
$ Annually

Employment Type

Staff: Career

Duration

Indefinite

Job #

14264

Primary Duties and Responsibilities

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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

Job Qualifications

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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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