Base Salary
$142k - $171k/yr
Responsibilities
- Build datasets and data models from retinal clinical and administrative data for RetinaOS products.
- Extract and integrate clinical, administrative, electronic medical record, practice management, and ophthalmology imaging data from varied sources and formats.
- Wrangle datasets, validate data, and apply statistical, data science, and computer vision methods.
- Prepare retinal datasets for clinical research and real-world evidence studies.
- Develop pipelines for parsing ophthalmology images, linking records, processing PHI, and modeling data in AWS.
- Perform image and layer segmentation, object detection, lesion depth and breadth detection, volumetric rendering, and volumetric measurement.
- Write, troubleshoot, and optimize performant SQL queries for clinical and administrative dataset preparation.
- Develop RPA applications in an AWS cloud environment and monitor system improvements.
Requirements
- Master's degree or foreign equivalent in Computer Vision, Computer Science, or a related field.
- Three years of experience in the job offered, in a research setting preparing data for research studies and real-world evidence projects, or in a related occupation.
- At least one year of experience with retina and ophthalmology-specific electronic medical records, database integration, coding, clinical data management, ophthalmology imaging, data modeling, and statistical and computer vision models.
- At least one year of experience using Python and cloud technologies, including NumPy, Pandas, SciPy, and statistical or machine learning models.
- At least one year of experience working with medical images, including anterior and posterior ophthalmology, OCT, wide-field imaging, fluorescein angiography, and other posterior-eye imaging modalities.
- At least one year of experience linking electronic medical records with practice management and image data to create unified longitudinal patient records.
- At least one year of experience with ophthalmology image and layer segmentation, object detection, lesion detection, volumetric rendering, and volumetric measurement.
- At least one year of experience extracting data from proprietary imaging formats from suppliers such as Carl Zeiss, Heidelberg Engineering, Topcon, and Nikon/Optos.
- At least one year of experience writing, troubleshooting, visualizing, and optimizing PostgreSQL SQL queries, including PostgreSQL 16 or later and extensions.
- At least one year of experience with AWS-based data science pipelines, RPA applications, VS Code, Jupyter Lab, and Veracode security tools.
- At least one year of experience performing descriptive and advanced statistical analyses of ophthalmology datasets and building drug-switch matrices, drug-tenure analyses, and patient-care plateau analyses.
Benefits
- 100% telecommuting is permitted from any location in the United States.
- The role requires 15% domestic or international travel.
- McKesson offers a competitive compensation and total rewards package, with potential annual bonus and long-term incentive opportunities.
Tech Stack
Categories
About McKesson
Welcome to the official LinkedIn page for McKesson Corporation. We're an impact-driven healthcare organization dedicated to “Advancing Health Outcomes For All.” As a global healthcare company, we touch virtually every aspect of health. Our leaders empower our people to lead with a growth mindset and deliver excellence for our customers, partners, and the wellbeing of people, everywhere. We work with biopharma companies, care providers, pharmacies, manufacturers, governments, and others to deliver insights, products and services that make quality care more accessible and affordable. Delivering better health outcomes for our employees, our communities, and our environment. Every day, we strive to inspire and enable people to reach their full potential. To learn more about how #TeamMckesson helps improve care in every setting, visit: https://bit.ly/3xadvB0