Senior/Principal Data Manager

Alira HealthBoston, MA
8h

About The Position

ROLE The Senior Data Manager e nsure s DM tasks for the assigned studies are performed on time and within budget , p artner s with Sponsors, clinical and statistics to develop the data collection specification from all data sources The Senior Data Manager m anage s in-stream data flow activities and deliver a quality database in accordance with the project plan , l ead s and drive the DM team , and a ct s as the reference point for the Sponsor and the appointed person responsible for the project from the data management perspective .

Requirements

  • Recent experience in using Medrio as Study Data Manager and CRF building
  • Degree in life science, pharmaceutical, biology or related field or at least 3 years’ experience in data management field or similar in a pharmaceutical environment or equivalent
  • Knowledge of Data Management processes, Good Knowledge of pharmaceutical industry guidelines like ICH, GCP etc , Good Knowledge of coding dictionaries like MedDRA and WHO-DD or equivalent, Good Knowledge in one or more DM systems, Good
  • English, Good
  • MS Office Suite, Good
  • Professional
  • Trustworthy
  • Ability to effectively prioritize
  • Quality focused
  • Personable
  • Attitude
  • Willingness to learn
  • Team Player
  • Effective Stress Management Techniques
  • Learning Agility
  • Ability to Manage Conflict
  • Problem Solving Skills
  • Effective Verbal Communication Skills
  • Commercial and Technical Writing Skills
  • Networking Skills

Responsibilities

  • Accountable for driving achievements of project milestones from study start up through to delivery of database
  • Provide Data Management input into the protocol
  • Design the Case Record Form and guide process for CRF approval
  • Define and develop the Data Management Plan, Data Validation Plan and their annexes ( e.g. Reconciliation Plan), with input from the study team
  • Validation of the database and computerized checks, including SAS listings or SAS checks
  • For EDC studies, define the User Acceptance Test Plan (UAT) and execute the test activities in the test environment to ensure quality eCRF
  • For EDC studies timely response to issues identified by the eCRF Helpdesk
  • Prepare CRF completion guidelines
  • Prepare study specific data-entry guidelines and train data-entry staff
  • Perform term coding for clinical studies, raise manual queries for uncoded terms as Query management: review discrepancies, review answered queries, resolve and close where appropriate , manage the data cleaning process including manual checks and Medical Review listings
  • Create and test import programs for electronic data received from external vendors
  • Perform timely data integration of CRF and non CRF data (data import from external sources)
  • Perform reconciliation of external data ( e.g. SAE, Central Labs, ECGs, etc )
  • Run and monitor study data progress reports including query management and take appropriate actions ( e.g. escalation, re-training, etc ), escalate any study issues within study team
  • Define and execute QC plan, lead and execute database release and database freeze activities
  • Lead the DM team, coordinate other DM staff providing direction regarding work assignment, scheduling and prioritizing
  • Input into and monitor progress against study project plan and escalate issues to resolution at the appropriate level
  • Effectively contribute in formal training for new starters
  • Demonstrate good application of document management process and procedures
  • Follow SOPs and guidance documents as well as applicable industry standards like ICH, GCP etc to day-to-day activities
  • Make recommendations for process improvements and development of new standards
  • Develop and maintain a network of contacts within the study team
  • Lead the DM team, coordinate other DM staff providing direction regarding work assignment, scheduling and prioritizing; monitor progress of activities
  • Maintain continuous and appropriate communication with sponsor and share with them critical and general issues
  • Effectively represents Data Management in internal or external meetings ( e.g. Investigator’s Meetings)
  • Conduct other activities as
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