Eli Lilly Hiring Manager / Sr. Manager CDM Bachelor’s degree in Pharmacy , medical field, Informatics, Life Sciences, Health Information Administration, Statistics, Information Technology, Nursing
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 study set
up through trial execution through dataset delivery, including on time delivery
of a quality, locked database
Ensure flow of data, including across niche vendors and niche data
sources (pharmacokinetic, 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 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 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
.
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