LocationNew York, New York
Shift:Day (United States of America)
Description:Senior Data ScientistPosition Summary Works closely with multi-disciplinary teams, including intuitional 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 machines learning), and knowledge of the organization and/or industry.
Essential Job Duties - Assists in translating project objectives into discrete and comprehensive description 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.
Required Qualifications - 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
Preferred Qualifications - Doctorate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, or Biometrics
Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.
NYP will not reimburse for travel expenses.
Salary Range:$97,000-$145,000/Annual
It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.
