Christopher Rogers, Software Developer in New York, NY, United States
Christopher Rogers

Software Developer in New York, NY, United States

Member since February 10, 2018
Chris has an educational background in chemical engineering and a passion for driving and improving business operations with data. Currently, he's striving to provide better health outcomes and hospital experiences to cancer patients at Memorial Sloan Kettering. He works with analytics tools like R, Python, Tableau, SA, and SQL to sift through data of various types and deliver insights.
Christopher is now available for hire




New York, NY, United States



Preferred Environment

R, SQL, Tableau, Python, Windows

The most amazing...

...thing I've done is work on new process development—finding KPIs within a company's data and automating the processes to highlight these items elegantly.


  • Healthcare Informatics Specialist

    2018 - PRESENT
    Memorial Sloan Kettering Cancer Center
    • Constructed a process in R that tokenizes new radiology reports using Natural Language Processing (NLP) techniques nightly and employs logistic regression and support vector machine models to flag and identify post-surgery complications that were not properly documented.
    • Served as the technical lead on an ongoing research study that utilizes natural language processing (NLP) to scan messages from our online patient portal and flag patients that might be experiencing care issues stemming from social factors.
    • Acted as the lead analyst for reporting work spanning patient operations and new technology launches at Memorial’s brand new $1.5 billion David H. Koch Center for Cancer Care.
    • Worked as the contributing author to mskR, Memorial Sloan Kettering’s central R package that contains functions constructed to reduce the headache of tedious processes and standardize the way different groups across.
    Technologies: R, Python, SQL, Tableau
  • Senior Healthcare Data Analyst

    2016 - 2018
    • Mined and analyzed patient data from medical claims, pharmacy claims, and electronic medical records (EMR) to discover actionable insights on ways to provide better care for patients and drive business operations.
    • Created and implemented a more efficient data model and SAS/SQL reporting process that performs ETL from disparate data sources, calculates key metrics, and creates logical output tables for data visualization in Tableau—which decreased production time by 90%.
    • Stratified the Indianapolis patient population using a multivariate predictive risk model to recommend the highest risk individuals to our ancillary care programs to ensure quality care and better health outcomes.
    • Collaborated with IT teams to optimize data acquisition and plan future data system architecture within Amazon Web Services (AWS) to best support current and future analytic processes.
    Technologies: SAS, SQL, Tableau, R


  • Languages

    SAS, R, SQL, Python 3
  • Tools

  • Storage

    SQL Server Management Studio
  • Other

    Software Developer


  • Master's degree in Applied Analytics
    2019 - 2020
    Columbia University - New York City, NY, USA
  • Master's degree in Chemical Engineering
    2015 - 2015
    Cornell University - Ithaca, NY, USA
  • Bachelor of Science degree in Chemical Engineering
    2011 - 2015
    Cornell University - Ithaca, NY, USA
  • SAS Advanced Programmer
    MARCH 2018 - PRESENT
    SAS Institute

To view more profiles

Join Toptal
Share it with others