Sr. Associate Software Developer

IRVING, TX, US • Posted 20 hours ago • Updated 41 minutes ago
Full Time
On-site
Compensation information provided in the description
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Clinical Research
  • Data Extraction
  • Telecommuting
  • Computer Science
  • Research
  • Electronic Health Record (EHR)
  • Database
  • Clinical Data Management
  • Medical Records
  • Practice Management
  • Computer Vision
  • Writing
  • Visualization
  • Data Science
  • Modeling
  • Robotic Process Automation
  • IDE
  • Jupyter
  • Amazon Web Services
  • Cloud Computing
  • Data Modeling
  • Statistics
  • Switches
  • Python
  • NumPy
  • Pandas
  • RF
  • PostgreSQL
  • SQL
  • Internet Recruiting
  • Social Media
  • Credit Cards
  • Gmail
  • Recruiting
  • McKesson

Summary

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.

What We Need:

COMPANY: McKesson Corporation

POSITION: Sr. Associate Software Developer

LOCATION: 6555 State Highway 161, Irving, TX 75039

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).

OFFERED WAGE: $141,773 ? $170,600/year

CONTACT: To apply, please send resumes to . Reference #: 002204.

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

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson?s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: .

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson?s full Equal Employment Opportunity policies, visit our page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d8578
  • Position Id: 107784695
  • Posted 20 hours ago
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