Provide comprehensive clinical lab data expertise as part of a team to develop and maintain Laboratory Data Management (LDM) tasks for the studies awarded to IQVIA Laboratories and meets the external client data reporting needs. May be required to support the development of new systems and processes related to the electronic data transfer process, or the configuration of business rules and master data in study and laboratory information systems. Understand and comply with core standard operating procedures and working instructions.
Essential Functions
Capable of taking up, independently or providing inputs for, Python programming activities pertaining to ongoing study requirements or any other adhoc projects in the department
Create and/or review all appropriate data management documents
Understand and comply with core standard operating procedures and working instructions
Develop and maintain good communications and working relationships with LDM team. Serve as back-up for other Data Team Leads
Interact with internal and external team members to negotiate timelines and responsibilities
Train and mentor junior staff in DM expertise
Ensure service and quality meet agreed upon timelines and deliverables in data transmission agreements. Ensure quality checks performed on data files before transmission and obtain peer-review where required. Review own work for accuracy and completeness
Record all evidence of the data transmission process from data file definition to closure of study
Ensure that all specification and design documentation are filed and stored according to company policy
Ensure the internal and external customer queries are timely addressed and resolved effectively
Multiple communication styles and skill to effectively broker, audience specific [peers, senior team members, internal/external customers] business and interpersonal relationships that lead to positive outcomes and successful business results
Perform other duties as directed by the functional manager
Qualifications
Bachelor's Degree in Life Science OR Computer Science
Preferred, 2-3 years of experience in Data Management and Python Programming. Requires basic knowledge of Python Programming and Data Management procedures obtained through prior work experience or education. Equivalent combination of education, training, computing qualification and experience.
Good customer-focus perspective with skill to guide customer communications and customer management.
Good attention to detail to anticipate, address and/or escalate issues, with aptitude to embrace and be conduit for change.
Good project and task management capabilities and ability to manage multiple projects and tasks simultaneously.
Effective problem-solving skills as well as ability to proactively identifying process improvements which reduce operational costs and maintain quality.
Quality conscious with high degree of ethics and integrity carrying out duties in accordance to laws, regulatory standards, and with company policies and procedures.
Proficiency in Windows operating systems (user-level skills), Microsoft Office applications.
Good understanding of medical, clinical research, and Lab Data Management process and terminology.
Working knowledge on various regulatory requirements such as FDA, ICH, ISO HL7, and GLP (Good Laboratory Practices).
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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