Position Summary The Labs of Cognitive Neuroscience and the Biobehavioral Research Laboratory is seeking a full-time Computational Health Informatics Data Manager I for multiple dynamic (domestic and/or international) research projects. This position would involve working with the following projects: Emotion Project A longitudinal study to understand risk factors for the development of anxiety and other challenges in youth. This longitudinal project involves assessments from infancy through 13 years of age. Bucharest Early Intervention Project More information can be found at https://bucharestearlyinterventionproject.org/ . Data infrastructure projects at the Labs of Cognitive Neuroscience, including database development / administration for secondary data analysis This position involves overseeing multiple types of assessments (e.g., questionnaires, behavioral observations, neuroimaging) from data collection to publication across a variety of research questions. This position does not involve interaction with study participants. We are ideally seeking a candidate who can begin in September or early October 2026. Funding is currently available to support this position through August 2027, with the possibility of extension based on performance and continued funding availability. Key Responsibilities Manage the design, functionality, implementation, and validation of databases. Develop scoring scripts and automated pipelines for cleaning, preprocessing, and statistical analysis of data for funding requirements and deliverables. Perform data transfers from and to collaborators as part of research collaboration initiatives. Comply with HIPAA data security and data sharing guidelines working with BCH-approved secure file transfer methods. Securely store data collected from research studies, including via REDCap, CANTAB, third-party cloud software. Develop data quality pipeline for questionnaires, clinical and cognitive behavioral assessments, diagnostic reports, videos, biological specimens, neuroimaging (e.g., EEG, ERP), caregiver reports and interviews. Optimize data storage health and maintenance using R, Python, SAS, SPSS, etc. with longitudinal datasets. Track changes to study measures, charts, and cohorts, order of tasks, version control Perform regular audit checks for data, combining awareness of how the data are collected with initiation of data-driven data collection methods. Incorporate IRB-required changes related to data management and data sharing. Support PIs and project managers in preparation of progress reports and preliminary data for grant submissions, including streamlining of report generation processes. Manage data sharing, including data/variable standardization, for biannual data submissions to data repositories (e.g., NDA).

Minimum Qualifications Education:

Bachelor's in biomedical engineering, psychology, statistics, or health-sciences

Experience:

Minimum of 1 year of full-time data analyst and data coordinator or equivalent experience. Excellent computer skills, including expertise in Microsoft Office software (e.g., Excel), R and/or Python, and familiarity with SPSS Experience in formatting and exporting data for statistical analyses Experience in verifying, documenting, and cleaning large data files Commitment to the consistent maintenance, accuracy, and completeness of data Familiarity with best practices for HIPAA data security High level of motivation, strong organizational skills, attention to detail, and well-developed communication skills Ability to work independently and proactively and to utilize internal and external resources to complete tasks Strong writing skills for documentation or publication Strong communication skills for necessary collaboration with study team members, coordinators, and PIs, representing data management best practices and leading data preparation and recovery initiatives.