Data Manager - EDC builder

K3 Innovations

  • VO, NJ
  • 1 day ago

    Highlights

    Purpose: Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Accountable for the on-time design and delivery of new clinical systems, integration between systems, as well as any required changes to clinical systems (e.g., EDC, IRT, ePRO).

    Numbers & Facts

    LocationVO, NJ

    Description

    Description:

    Length of contract: 1 Year extended for 2nd year, post PE.

    Location/Site: Prefer - New Jersey or close to another Abbvie office, but open to any location if they the experience.

    Purpose:

    Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Our operational model is exemplified through execution and innovation. This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Clinical Data Strategy Organization.

    Responsibilities:

    Actively participates in the development of common data standards and ensures systems designs comply with the standards, as well as with associated protocol requirements. Ensures that the design team utilizes standards

    Establishes and maintains methodology used by the team to design and develop clinical trial systems, benchmarking against industry standards. Ensures that systems are specified to optimize functionality, end user experience, and data flow. Ensures that the design team meets these expectations

    Ensures that TA- and program-level consistency is achieved by the design team

    Accountable for the on-time design and delivery of new clinical systems, integration between systems, as well as any required changes to clinical systems (e.g., EDC, IRT, ePRO). Utilizes project management tools to track study progress and plan work. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions

    Interacts with and influences CDO and cross-functional team members to achieve program and study objectives. Ensures that assigned work product is synchronized with upstream and downstream dependencies

    Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development

    Responsible for coaching and mentoring members of the team, as well as contributing to their skill development

    Leads CDO and cross-functional innovation and process improvement initiatives

    Qualifications

    Bachelor's degree in business, management information systems, computer science, life sciences or equivalent. Masters preferred.

    Must have 7+ years of hands-on technical Study build in EDC. Experience with technical study build in Medidata RAVE is required. Veeva EDC technical study build experience is a plus.

    In-depth knowledge of clinical trial processes.

    In-depth knowledge of CDASH (Required) and SDTM.

    Demonstrated performance as a key contributor to initiatives and advancement of the organization.

    Demonstrated ability to influence others without direct authority. Demonstrated ability to successfully coach / mentor in a matrixed environment. Demonstrated effective communication skills and analytical skills.

    Enable Skills-Based Hiring No
    Provide the days of the week and the hours that this position will require:

    Additional Details

    • Manager's Requested NA : (No Value)
    • Does the position allow for the worker to be virtual/remote? : Yes but Onsite Preferred
    • Shore Options Available for this Position : Onshore Only
    • Provide the days of the week and the hours that this position will require: : (No Value)

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