Computational Health Informatics Data Manager II

Boston Children’s Hospital; Brookline (MA); Híbrido; USD 90 000 - 130 000; Tempo integral

Resumo da oferta

Boston Children’s Hospital is seeking a full-time Computational Health Informatics Data Manager II for a hybrid role in Brookline, MA. The position focuses on coordinating and improving data quality across EEG, imaging, and clinical records for development and neurodevelopmental research.

Responsibilities include building data infrastructure, validating datasets, and enabling secure data sharing with collaborators. Experience with REDCap and SQL is highly valued.

Qualificações

• Bachelor’s degree in CS/biomedical field or related.
• Minimum 2 years of clinical research data analysis/coordination experience.
• Proficiency in Python and MATLAB; strong Excel and REDCap experience.
• Experience cleaning/validating large datasets and preparing data for analysis.
• Familiarity with BIDS, EEG data, and brain imaging data a plus.

Responsabilidades

• Oversee quality and management of longitudinal, multimodal research data.
• Develop and maintain data infrastructure, including REDCap projects and Python tools; design SQL databases.
• Improve data processing and harmonization pipelines across study lifecycles.
• Develop scoring scripts and automated workflows for cleaning and analyses.
• Coordinate data access, sharing, and data use agreements; manage IRB-related changes.
• Train data collection staff on workflows and technologies; support reports and grants.

Conhecimentos

Python

MATLAB

Communication

Writing

Data management

Problem solving

Formação académica

Bachelor's degree in computer science, biomedical engineering, biostatistics, biomedical data science, or related field

Ferramentas

REDCap

SQL

Excel

Microsoft Office

Relational databases

Descrição da oferta de emprego

Position Summary

The Labs of Cognitive Neuroscience at Boston Children’s Hospital seeks a full-time Computational Health Informatics Data Manager II to support research on development, neurodevelopmental disorders, and rare genetic conditions, including:

• Baby Steps Project: A longitudinal study tracking EEG and cognitive, language, and social development from infancy through early childhood to improve early identification of developmental delays and autism in diverse populations.
• Data infrastructure initiatives, including database development and administration and harmonization of neuroimaging, behavioral, and clinical data across longitudinal studies for secondary analysis.

This hybrid position is based at Two Brookline Place, Brookline, MA, with a minimum two-year commitment and potential for continued employment and professional growth based on performance, project needs, and funding.

The role oversees data quality across assessments, including questionnaires, behavioral observations, neuroimaging, and medical records, from collection through publication. Regular participant interaction is not required, though understanding data collection procedures is helpful, and opportunities to shadow study visits are available.

Key Responsibilities

• Oversee quality and management of longitudinal, multimodal research data. Develop audit tools and workflows to reduce errors; document changes to study measures and collection procedures, including version control.
• Develop and maintain data infrastructure, including REDCap projects and Python tools. Collaborate with PIs and research staff to design, build, and validate a SQL database for large, harmonized datasets; ensure final data outputs are complete and accurate.
• Improve data processing and harmonization pipelines throughout the study lifecycle. Support questionnaire, clinical, EEG, and medical record data using established standards and software.
• Develop scoring scripts and automated workflows for data cleaning, preprocessing, and statistical analysis. Use AI-assisted tools where appropriate and validate outputs.
• Coordinate data access and sharing, including collaborator requests, data use agreements, secure transfers, repository submissions (e.g., NDA), and IRB-required changes.
• Train data collection staff on data management workflows and technologies; guide staff developing data tools.
• Support progress reports and grant submissions by preparing preliminary datasets and streamlining recurring reports.

Minimum Qualifications

Education

• Bachelor’s degree in computer science, biomedical engineering, biostatistics, biomedical data science, or a related field.

Experience

• Minimum 2 years of full-time clinical research data analysis or coordination experience, or equivalent.
• Proficiency in Python, MATLAB, and Microsoft Office, particularly Excel, and experience with REDCap.
• Experience cleaning and validating large datasets, maintaining documentation, and preparing data for statistical analysis using scalable workflows.
• Experience with longitudinal datasets and harmonizing complex health research data across studies; knowledge of developmental science and neuroscience.
• Strong communication and writing skills, including collaboration with multiple investigators and training research staff.
• Strong organizational skills and attention to data accuracy and completeness; ability to work independently and solve problems proactively.
• Familiarity with clinical research data protection best practices, including HIPAA requirements.
• SQL programming and relational database design experience, including databases for large research datasets, preferred.
• Experience with Brain Imaging Data Structure (BIDS) preferred.
• Experience processing and managing EEG data preferred.