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Form of workEveryone's unique health journey is informed by data. Join us as we translate today's discoveries into tomorrow's medicine!
When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it's just one of the many reasons why we rank as one of the top hospitals in the nation by U.S. News & World Report.
The mission of the Artificial Intelligence in Medicine Program is to use Artificial Intelligence to solve existing gaps in mechanisms, diagnostics, and therapeutics of major human disease conditions. Our team includes physician-scientists, data scientists, computer scientists, biostatisticians, and bioinformaticians focused on high impact cardiovascular clinical research by leveraging cutting edge machine learning techniques.
The Programmer/Analyst is responsible for application development supporting business objectives while providing mid-level expertise in software development lifecycle phases from concept and design to testing. The ability of deep learning and machine learning to predict human disease events from patient data is an area of active interest and exploration. This position is a critical role for a motivated individual with background in scientific computing, data management, and operating systems to implement machine learning algorithms within the healthcare system.
As a Programmer/Analyst, you will lead and manage data workflows between imaging (PACS) systems, machine learning pipelines, and clinician interfaces through integration with third-party APIs and development of clinician user interfaces. Desired skills include proficiency with Python, OpenCV, Pydicom, SciPy, and PyTorch. Essential tasks for this role will include designing pipelines for data collection, clinical data abstraction, processing data, maintaining record systems, and debugging deep learning training pipelines.
Additional responsibilities include the opportunity to participate in making strategic data-related decisions by analyzing and manipulating data and building models to assist in the clinical and operational setting, create sustainable data science infrastructure and adhere to data analysis/machine learning best practices, and test the robustness of machine learning models.
Primary Job Duties and Responsibilities:
Work independently with supervision and consultation with Principal Investigators and other members of the research group.
Leads and analyzes data for research studies.
Processes clinical data using a range of computer applications and database systems to support cleaning and management of subject or patient data.
Designs pipelines for data collection and analysis.
Analysis of research data using PyTorch, Scipy, and applicable analysis applications and packages.
Maintains the accuracy, integrity, and security of complex, large, computerized records systems.
Participate in publications and presentations as an author.
Designs and performs experiments with colleagues and collaborators.
Participates in required training and education programs regarding protecting patient data, best practices with research integrity and applicable laws.
Understands regulations, policies, protocols, and procedures to control and maintain accurate records.
Education:
- High School Diploma/GED.
- Bachelor of Arts or Science degree preferred.
Experience and Skills:
- 3 years of experience managing application design, software development, and maintenance, required.
- 5 years of experience developing critical, large scale customer facing web applications / sites with high volume and high-reliability requirements, preferred.
Physical Demands:
Able to perform moderate lifting. Able to sit, stand and walk for prolonged periods of time. Able to read papers and online documents. Able to operate standard office equipment. Able to exercise physical ability and perspective acuity to satisfactorily perform essential job functions.
