Edtech.com's Summary

Albert Einstein College of Medicine is hiring a Data Analyst to support the Neurology department's Division of Brain and Cognitive Health Technology. The role involves managing and harmonizing datasets related to cognitive, clinical, and digital phenotype data, developing data pipelines, ensuring data quality, and collaborating with multiple stakeholders to support research projects on neuropsychiatric disorders.

Highlights

Manage and maintain databases such as SQL and REDCap for longitudinal cognitive and clinical data.
Define data standards and assist with data queries from staff and collaborators.
Build pipelines for data ingestion, quality control, and validation.
Conduct regular quality assurance and ensure data harmonization across sources.
Support compliance with data use agreements, IRB protocols, and data privacy regulations including HIPAA.
Collaborate with project managers, investigators, and developers to support study protocols.
Develop documentation like data dictionaries, codebooks, and user guides.
Train staff in data entry and management best practices.
Use R and SQL; experience with time series or longitudinal data analysis preferred.
Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field with 2-3 years of relevant experience.
Desirable knowledge of aging, neurodegenerative, or neuropsychiatric diseases.
Salary range between USD $67,500 and $75,000 per year.

Data Analyst Full Description

About Us:

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.

Original Job Description

About Us:

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

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