Support ITN Biologists in development of specimen collection plans including detailed plans for expected specimen collections processing and storage Participate in the design development and implementation of experimental plans including creating lists of specimens to be used for mechanistic assays according to criteria supplied by Biologists Work with data managers operations managers study statisticians and the study team to identify data cleaning priorities and critical data points for data cleaning Develop study specific data cleaning plans including edit/business logic check specifications Review reports related to mechanistic specimens quality and results data and collaborate with report development staff on defining reporting requirements Write and execute ad hoc queries on collected data Perform analyses to identify outliers and other potential data issues relevant to planned analyses Implement various visualization techniques to assist in identifying critical data issues quickly and accurately Perform data review and query management including assisting in resolving specimen tracking issues related to handling of specimens by the ITN specimen repository and core laboratories Thoroughly document all data cleaning and analysis activities performed Communicate with study team on actions needed by clinical sites labs or other data providers to ensure query resolution Actively review and provide feedback on study data quality Work with the Lead CDA to identify useful metrics and measurements of data quality and data cleaning efforts and implement processes to collect and report these metrics and measurementsSkills/Abilities/Competencies Required: Excellent interpersonal verbal and written communication skills Strong organizational and time management skills with the ability to handle multiple assignments effectively and deal with ad hoc requests Ability to identify and solve complex problems using a logical systematic sequential approach Data analysis reporting and programming (SQL and/or SAS preferred) Ability to work cooperatively with an internal functional group of stakeholders as well as crossfunctional partners Knowledge of clinical data structures biological sciences laboratory and specimen logistics is strongly preferred Experience: At least 2 years of Clinical Data Management or clinical programming experience Proficiency with Microsoft Office Suite including PowerPoint Excel and Word Experience with programming or query writing preferably using SAS and/or SQL Knowledge of clinical data structures Knowledge of reporting tools (e.g. TIBCO Spotfire Prism JMP SAS) and experience developing reports is strongly preferred Demonstrated capability to deliver work products in a multiproject teamoriented environment Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills perspectives and ideas we choose to lead. Applications fromprotected veterans and individuals with disabilities are strongly encouraged.
Required Experience:
IC