Senior Data Scientist

NewYork-Presbyterian Hospital

9d•$97,000 - $145,000•Onsite

About The Position

Works closely with multi-disciplinary teams, including institutional leaders and other key stakeholders in the development and implementation of data-driven insights and strategies to advance institutional goals and mission. Performs advanced analyses of structured and unstructured data to solve multiple and/or complex problems using advanced statistical techniques, mathematical analyses (including machine learning), and knowledge of the organization and/or industry.

Requirements

Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience
3+ years of research experience in managing and analyzing data, and proven expertise working with clinical and research information systems
Strong analytic skills and ability to use a variety of software tools such as R, SAS, SQL, MS Excel, and MS Access
Experience analyzing and interpreting data, maintaining and managing large datasets, and ensuring the integrity of the data
Outstanding interpersonal skills and the ability to excel in team collaboration as well as in independent work

Nice To Haves

Doctorate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, or Biometrics

Responsibilities

Assists in translating project objectives into discrete and comprehensive descriptions of necessary data and other resources.
Aids in the development plan(s) to mitigate impact due to any limitations in available data/resources.
Assists in the definition of milestones, deliverables, and estimates timelines for all assigned projects.
Assumes an ownership role of some tasks, as appropriate, and effectively coordinates across teams to reach defined milestones.
Identifies and accesses necessary data assets across cloud and on-premises data warehouses.
Collaborates with subject matter experts to ensure accurate data definitions and to validate quality of all data endpoints as required.
Utilizes strong programming skills to evaluate, explore, model, and integrate data from a variety of sources (EHR, national databases, other registries, other data systems/platforms).
Demonstrates experience working with data from diverse modalities (structured, unstructured).
Develops and/or uses algorithms and statistical predictive models.
Applies proficient knowledge in algorithms and predictive models to investigate problems, detect patterns, and relate findings to project’s objective(s).
Demonstrates proficiency in the end-to-end data science pipeline from data ingestion and cleaning to experimenting with predictive models to deployment of results.
Writes, validates, and executes code to perform required modeling or analytical tasks by way of cloud and local compute environments (CPU or GPU).
Creates informative and detailed reports, as well as data visualizations to summarize data and results; understands and evaluates appropriate performance metrics.
Actively engages in meetings with stakeholders.
Contributes content to, and may lead, presentations or auxiliary discussions of summary reports with audience.
Follows best practices in documentation and use of code repositories, containers/environments, and version control.
Works to ensure best practices are upheld and enforced.
Adheres to all institutional policies and practices for appropriate use and safeguarding of data.
Assists junior data scientists with tasks, as appropriate.
Maintains multiple projects simultaneously and functions effectively both independently and as part of a team.
Keeps abreast of innovative technologies and approaches pertinent to data science; evaluates their applicability and fit for current projects.
Performs other special projects and duties as assigned.