Eli Lilly CDM Jobs
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Eli Lilly CDM Jobs – Life Sciences Apply Online

Eli Lilly CDM Jobs – Life Sciences Apply Online. Life Science Manager / Sr. Manager CDM Job Opening. Interested and eligible applicants can check out all of the details on the same  below:

Name of the Post: Manager / Sr. Manager CDM

Req ID: R-3132

Location: Bengaluru, Karnataka, India

Purpose:

The Clinical Data Management Associate is responsible for trial level clinical data execution including database structure, content and meaning, acquisition, validation, storage, retrieval, interchange, delivery and representation. This requires an in depth understanding of data standards, data collection & design, data flow management, data quality, data validation, data review, central coding, data technology, dataset delivery, adjudication coordination, archiving and decommissioning. The Clinical Data Management Associate will collaborate with the Clinical Data Associate, Clinical Study Build Programming Associate, Clinical Data Analytics Associate and key study stakeholders to define, implement, and deliver clinical data management packages for a trial or set of trials within a program.

Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not

specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position.

Portfolio Strategy, Planning and Delivery

  • Execute Lilly business requirements for the study/program for vendors to deliver clinical trial data
  • Ensure that data management deliverables are delivered to scope, cost, and time objectives
  • Coordinate end-to-end data management activities – from a study set up through trial execution through dataset delivery, including on-time delivery of quality, locked database
  • Ensure the flow of data, including across niche vendors and niche data sources (pharmacokinetics, immunogenicity, biomarker)
  • Contribute to key deliverables (i.e. Data Management Plan, Project Plan, database, and observed datasets)
  • Participate in submission, inspection and regulatory response activities
  • Central coding activities completed
  • Archiving and decommissioning of study-related data management documents and content

Project Management

  • Ensure that data acquisition, database design, data validation, data review, central coding and observed dataset requirements are reflective of specific protocol objectives
  • Adhere to standards decisions, implementation and compliance for the study/program
  • Track and report out key study build, execution and data deliverable metrics
  • Help create scope scenarios and negotiate outcomes with study teams while considering the cost and value
  • Facilitate the integration of disparate data sources into datasets for decision making
  • Utilize therapeutic knowledge and possess a deep understanding of the technology used to review data to ensure database deliverables are consistent and accurate
  • Effectively apply knowledge of applicable internal, external and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to data deliverables

Enterprise Leadership

  • Continually seek and implement means of improving processes to reduce cycle time and decrease work effort
  • Represent Data and Analytics processes in cross-functional initiatives
  • Actively participate in shared learning across Data and Analytics organization

Minimum Qualification Requirements:

  • Bachelor’s degree in the medical field, Informatics, Life Sciences, Health Information Administration, Statistics, Information Technology, Nursing, Pharmacy
  • Job is located in Bangalore, India

Other Information/Additional Preferences:

  • 3 years Data Management experience or 5 years experience in drug development in areas intersecting with clinical data management (e.g., clinical operations, statistics, information technology, health outcomes, etc.)
  • Masters degree in the medical field, Informatics, Life Sciences, Health Information Administration, Statistics, Information Technology, Nursing, Pharmacy, Business
  • Experience with the following:
    • Articulating the flow of data (structure and format) from patient to analysis and apply this knowledge to data solutions
    • Deciding the technology platform (system/database) for data acquisition and aggregation
    • Utilization of clinical/drug development knowledge and an ability to liaise effectively with study team members (i.e. Data Sciences, Statistics, PK, Operations, Medical)
    • Strong therapeutic/scientific knowledge in the field of research
  • Society of Clinical Data Management certification
  • Project management experience
  • Vendor management experience
  • Familiarity with clinical data tools and technologies
  • Technical knowledge to develop requirements and/or study/project deliverables (i.e. SAS, Oracle, programming, analytical tools)
  • Experience in forms design and layout
  • Understanding and experience in using data standards
  • Experience with designing and handling of eCOA data
  • Knowledge of medical terminology
  • Domestic and International travel may be required

Apply Online

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3 COMMENTS

  1. Hi Biotecnika team,
    I would like to appreciate all the efforts you are putting in to collate the latest job advertisements. I am a postdoc on career break and now looking for job again. I find this platform very helpful.

    I have a question regarding the job ads at industries, like Syngene, Eli lilly among others. Will it be okay, if I apply from the Biotecnika page?

    Thank you,
    Looking forward to your reply.
    Swati Pal

    • Dear Swati,

      Thank you for your kind words.

      And yes it will be okay if you apply from the Biotecnika page because the links given to apply take you to the company page itself. So it is a safe and legitimate mode of application.

      All the best!

Comments are closed.