A Data Analyst position is available immediately in the department of Neurology at Albert Einstein College of Medicine in NY. The position will support development and growth of the inaugural Division of Brain and Cognitive Health Technology, which will support cutting-edge research on the development, validation, and dissemination of new technologies for cognitive monitoring, neuropsychological assessment, and risk prediction in neuropsychiatric disorders. This will include work with digital technologies that support scalability, accessibility, and the engagement of diverse communities, as well as applications of multi-level modeling, machine learning, and/or AI for clinical prediction and estimation of novel dynamic phenotypes related to brain health and disease risk. The Data Analyst will report to Division Director Laura Germine, who is the creator of the TestMyBrain digital research platform and a PI of the newly funded Open Measurement Network Initiative for AD/ADRD (NIA U24). The Data Analyst will be responsible for managing datasets related to these projects, as well as organization and management of datasets collected as part of recently completed research studies.

Position Responsibilities

Such responsibilities will include:

Setting up and maintaining databases (e.g., SQL, REDCap) for participant cognitive, clinical, and digital phenotype data, including time series and other longitudinal data
Defining data standards and supporting data queries from division staff and collaborators
Building pipelines for data ingestion, quality control, and validation
Running regular quality assurance checks on datasets as they are collected
Merging data from different sources and ensuring harmonization
Working with other statisticians and analysts to ensure datasets are analysis-ready
Supporting data use agreements and IRB-approved data sharing procedures
Ensure data privacy and security standards are followed and enforced in the appropriate framework for a given dataset (e.g., HIPAA)
Work with project managers, investigators, and developers to support study protocols
Develop documentation, including data dictionaries, codebooks, and user guides
Train staff on data entry and data management best practices
Support or lead data analysis activities (as appropriate and depending on level of expertise of the applicant), in support of division and project research aims

Qualifications

For this role, we are seeking an enthusiastic and highly-motivated individual with experience in data analysis and management for large-scale, multisite clinical research studies. Experience and knowledge of aging, neurodegenerative diseases, and/or neuropsychiatric diseases is desirable.

Successful candidates will have a Bachelor’s degree in Mathematics, Statistics, Computer Science, or other relevant discipline and 2-3 years related experience.

The applicant must be familiar with R and SQL. Experience with managing and analyzing time series or other longitudinal data is preferred. A strong work ethic, excellent organizational and communication skills is expected as well as the ability to work in an interdisciplinary environment and projects with many Co-Investigators across institutions, Willingness to learn new technologies or software environments is required.

Minimum Salary Range

USD $67,500.00/Yr.

Maximum Salary Range

USD $75,000.00/Yr.

Albert Einstein College of Medicine

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