Computational Health Informatics Data Manager II- Faja Lab

Key Responsibilities

• Manage the design, functionality, implementation, and validation of multimodal data collection workflows and infrastructure.
• Perform data transfers and ensure BCH’s alignment with consortium-centralized data transfer, analysis pipelines, computational models, and standardized processing tools. Comply with HIPAA data security and data sharing guidelines working with approved data transfer methods.
• Meet capture and upload timelines, initial quality control thresholds, version control, detailed metadata documentation, and cloud integration as determined by the data coordinating core of the wider research consortium.
• Participate in regular consortium meetings with stakeholders and other data managers for cross-site troubleshooting and coordination.
• Communicate with consortium members during processing, harmonization, and quality control until datasets are finalized for further release to a long-term data repository.
• Support troubleshooting for wearable devices including acquisition and quality checks.
• Securely store data collected from research studies, including via REDCap and data repositories.
• Develop scripts and automated pipelines for cleaning, preprocessing, and statistical analysis of data for funding requirements and deliverables.

Minimum Qualifications

• Education: Bachelor’s degree in neuroscience, data/computer science, statistics, bioinformatics, or health-sciences related field. Master’s degree highly preferred.
• Experience: At least two years of data management or equivalent experience in a healthcare or clinical research environment. Minimum of 2-year commitment.
• Familiarity: Familiarity with established clinical data repositories and Electronic Data Capture systems like REDCap for data types including but not limited to clinical assessment, electronic health record, electroencephalography, digital biomarkers, and biospecimens. Experience with relevant data analysis environments (e.g., RStudio, Jupyter) and preprocessing software.
• Expertise: Expertise managing and sharing data in collaborative environments. Full understanding of scientific research processes and principles of Open Science, reproducibility, and FAIR data practices.
• Skills: Exceptional organizational and problem-solving skills, with the ability to manage multiple parallel workflows in a fast-paced environment. Familiarity with best practices for HIPAA data security. Strong communication skills for collaboration with study team members and written documentation.
• Experience: Longitudinal datasets or clinical trials management preferred. Formatting and exporting data for statistical analyses preferred. One or more coding languages, preferably Python, MATLAB, or R preferred. Knowledge of developmental science and neuroscience preferred. Verifying, documenting, and cleaning large data files preferred. Providing educational support and training to research teams preferred.

Additional Information

The posted pay range is Boston Children’s reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.