Sr. Associate Software Developer

McKesson•Irving, TX

3d•$141,773 - $170,600•Remote

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Requirements

Master’s degree, or foreign equivalent, in Computer Vision, Computer Science, or a related field and three (3) years of experience in the job offered, working in a research setting, preparing data for research studies and real-world evidence projects, or a related occupation.
One (1) year of demonstrated experience in Work expertise in retina, including ophthalmology-specific electronic medical records, database integration, coding, and clinical data management, along with the specific expertise in ophthalmology imaging, data modeling and statistical and computer vision models for retinal images.
One (1) year of demonstrated experience in Technical, data science and coding skills in Python, and cloud.
One (1) year of demonstrated experience in Working with medical images, specifically in anterior and posterior ophthalmology
One (1) year of demonstrated experience in Expertise in linking electronic medical record with practice management and image data to create unified, longitudinal patient recordsets.
One (1) year of demonstrated experience in Computer vision, specifically related to ophthalmology image and layer segmentation, object detection, and lesion depth/breadth detection.
One (1) year of demonstrated experience in Retinal image and layer segmentation, volumetric rendering, and volumetric measurement.
One (1) year of demonstrated experience in Extracting data programmatically from proprietary formats of imaging suppliers specific to retina and general ophthalmology, such as Carl Zeiss, Heidelberg Engineering, Topcon, Nikon/Optos and others.
One (1) year of demonstrated experience in Writing performant SQL queries and troubleshooting query problems, including visualization.
One (1) year of demonstrated experience in Optimizing queries for clinical and administrative dataset preparation (PHI).
One (1) year of demonstrated experience in Working building data science pipelines for parsing ophthalmology images, linking data records, processing PHI, and modeling data in an AWS cloud environments.
One (1) year of demonstrated experience in Developing RPA applications in an AWS cloud environment.
One (1) year of demonstrated experience in Working with VS Code IDE, Jupyter Lab, and Veracode security tools in an AWS cloud environment.
One (1) year of demonstrated experience in Data modeling and statistics.
One (1) year of demonstrated experience in Descriptive statistics working with ophthalmology image datasets.
One (1) year of demonstrated experience in Advanced statistical analysis of ophthalmology data, specifically retina clinical, administrative and image datasets.
One (1) year of demonstrated experience in Building retina drug-switch matrices, drug tenure analyses, and patient care plateau analyses.
One (1) year of demonstrated experience in Python Numpy, Pandas, SciPy, and a full range of models (RF, NN, DL, LLM, etc.).
Demonstrated experience in OCT, wide-field, fluorescein angiography, and other imaging modalities used in capturing data and measurements of the posterior eye.
Demonstrated experience in Specific depth in Postgres SQL (v. 16+, including extensions).

Responsibilities

Works with retinal clinical and administrative data to build data sets and data models.
Wrangles ophthalmology data, tests validity of datasets for data modeling efforts using statistical / data science methods.
Extracts and integrates clinical and administrative datasets from a variety of sources and formats, including APIs, files, proprietary binary images, and standard medical images.
Solves data and image problems to which standard procedures may not apply.
Ensures that system improvements are successfully implemented and monitored to increase efficiency.
Using expertise in clinical research methods, collaborates with variety of personnel to prepare retinal datasets for research and real-work evidence studies.
Responsible for clinical integrations, image data extraction, data set preparation, and data modeling for the RetinaOS products.