Senior Data Manager Job Description

Senior Data Manager Job Description Template

Our company is looking for a Senior Data Manager to join our team.

Responsibilities:

  • Develop processes and tools to monitor and analyze model performance and data accuracy;
  • Utilize a variety of data visualization techniques to extrapolate data from PEO SOLDIER’s proprietary model;
  • Develop custom data models and algorithms to apply to data sets;
  • Define the software architecture of the growing data analytics capability;
  • Coordinate with different functional teams to implement models and monitor outcomes;
  • Develop Data Transfer Agreement(s) (DTAs) between external data vendors and/or core labs;
  • Lead and Perform UAT of database and edit checks;
  • Participate in the review of Clinical research documents (e.g., Protocols, Case Report Forms, Reports and Statistical analysis);
  • Lead AE/SAE data reconciliation in Safety DB and/or other Data Management DB, including but not limited to, performing MedDRA and/or WHO coding;
  • Coordinate and communicate with DB vendors on consistent basis to address Clinical team’s requests, project plans, and/or eCRF development activities;
  • Has a good understanding of regulatory guidelines and issues (i.e., ICH GCP ), and understands the connection to DM deliverables;
  • Leads the data review meetings with Medical, Clinical, Biostatistics and Programming in support of key reporting events or database lock plans;
  • Identifies and implements process improvements in relation to data collection and processing;
  • Uses metrics and key performance indicators (KPIs) to monitor vendor performance;
  • Oversees multiple DM vendors and provides training as necessary.

Requirements:

  • Excellent written and verbal communication skills;
  • Programming and coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. a plus;
  • Knowledge of advanced statistical techniques and concepts (regression, advanced statistical tests, etc.) and experience with applications;
  • Knowledge and experience in statistical and data mining techniques;
  • Strong problem-solving skills with an emphasis on product development;
  • Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information;
  • Participate in the review of Clinical research documents (e.g., Protocols, Case Report Forms, Reports and Statistical analysis);
  • Lead AE/SAE data reconciliation in Safety DB and/or other Data Management DB, including but not limited to, performing MedDRA and/or WHO coding;
  • Coordinate and communicate with DB vendors on consistent basis to address Clinical team’s requests, project plans, and/or eCRF development activities;
  • Ability to multi-task and manage multiple priorities with minimum direction and supervision;
  • Lead and Perform UAT of database and edit checks;
  • Perform close-out audit, as specified, for closing of study trial in EDC or other clinical data management DBs;
  • Five years of experience working with large datasets or databases. Experience should be in a professional working environment;
  • Perform other activities as required;
  • Develop Data Transfer Agreement(s) (DTAs) between external data vendors and/or core labs.