Software Engineer for Healthcare Data

Posted:
8/28/2024, 6:03:20 AM

Location(s):
Carrboro, North Carolina, United States ⋅ North Carolina, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
On-site

Pay:
$57/hr or $118,560 total comp

Team Description: 
Kitware's Medical Computing team tackles complex healthcare challenges by developing cutting-edge software solutions tailored to the medical and biomedical sectors. We provide research, development, and technology integration services to top-tier research centers, universities, and companies. Joining our team means immersing yourself in a dynamic, multidisciplinary environment alongside exceptionally talented professionals, including computer scientists, software engineers, mechanical engineers, and biomedical engineers.

About the Projects: 
At Kitware, we work with a variety of healthcare datasets, including clinical data (EHR, medical imaging, laboratory results, medication records, vital signs, clinical notes ), patient-generated health data (wearable device and remote patient monitoring) and research data (clinical trial and biobank data). The projects involve data management, exploration, and the integration of these multimodal data to derive actionable insights and improve patient outcomes. Our research projects involve collaborations with top research institutions, including Harvard Medical School, MIT, Cleveland Clinic, Duke University, UNC-Chapel Hill, and others, and build on open-source platforms.

About the Role:
As a Software Engineer with Healthcare Data Science experience, you will contribute to developing and implementing robust healthcare research software systems, leveraging your technical expertise in data science, machine learning, and visualization. You will play an integral role in managing and analyzing complex healthcare datasets, designing predictive models, and contributing to creating data-driven healthcare applications. Your work will directly impact the development of next-generation medical software and tools.