Sr. Associate Software Developer

JOB DUTIES: 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. 100% Telecommuting is permitted from any location in the U.S. 15% travel required, domestic or international.

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.

Applicant must have one (1) year of demonstrated experience in each of the following:

• 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.
• Technical, data science and coding skills in Python, and cloud.
• Working with medical images, specifically in anterior and posterior ophthalmology
• Expertise in linking electronic medical record with practice management and image data to create unified, longitudinal patient recordsets.
• Computer vision, specifically related to ophthalmology image and layer segmentation, object detection, and lesion depth/breadth detection.
• Retinal image and layer segmentation, volumetric rendering, and volumetric measurement.
• 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.
• Writing performant SQL queries and troubleshooting query problems, including visualization.
• Optimizing queries for clinical and administrative dataset preparation (PHI).
• Working building data science pipelines for parsing ophthalmology images, linking data records, processing PHI, and modeling data in an AWS cloud environments.
• Developing RPA applications in an AWS cloud environment.
• Working with VS Code IDE, Jupyter Lab, and Veracode security tools in an AWS cloud environment.
• Data modeling and statistics.
• Descriptive statistics working with ophthalmology image datasets.
• Advanced statistical analysis of ophthalmology data, specifically retina clinical, administrative and image datasets.
• Building retina drug-switch matrices, drug tenure analyses, and patient care plateau analyses.
• Python Numpy, Pandas, SciPy, and a full range of models (RF, NN, DL, LLM, etc.).

Applicant must have demonstrated experience in each of the following:

• OCT, wide-field, fluorescein angiography, and other imaging modalities used in capturing data and measurements of the posterior eye.
• Specific depth in Postgres SQL (v. 16+, including extensions).

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

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