When our values align, there's no limit to what we can achieve.
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
Overview:
The Data Manager will be responsible for acquiring, processing, and reviewing patient data and records, organizing clinical data forms, implementing data management plans including data preparation and validation activities and define ways to improve operational processes for these activities. The DM will act independently and in collaboration with study teams seeking to develop and validate novel digital endpoints across different therapeutic areas.
In close partnership with colleagues from Sponsor's Research teams, you will play a key role in the deployment of novel digital endpoints into clinical studies, collection, management and analysis of sensor data, both in patients and healthy volunteers. You will need to communicate and interact effectively with colleagues within a matrix organization to help conduct key studies to drive portfolio decisions. This role will be central to the deployment and scaling of digital solutions into clinical trials where these technologies may be utilized as efficacy endpoints and provide value to key stakeholders.
Responsibilities
Responsible for acquiring, processing, and reviewing patient data
Organizing clinical data forms, implementing data management plans
Data management POC for DMTI and clinical studies
Develop, implement, and conduct data quality checks as needed for work/studies
Ensure collection, organization, curation, storage and safeguarding of patient data
Track emerging study data and works closely with data science team to ensure the effectiveness of tools and data quality
Work under general supervision, performs assignments using established procedures and general instructions
Responsible for maintaining, updating, and organizing data transfer specifications across studies
Qualifications:
Master’s degree in Health Informatics, Computer Science, Information Systems, or similar field
A minimum of 5+years of technical experience, including:
Python
Unix/Linux environments
Version control systems (ex. Git)
AWS or other cloud-based development
Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave
Familiarity with pharmaceutical informatics standards like CDISC and MedDRA
GCP
Strong interpersonal and collaboration skills
Demonstrate the ability to build consensus and be agile to changing circumstances and priorities
Hands-on experience with Clinical Data Management, including Case Report Form (CRF) design, CRF annotation, database design, data collection, data-entry, data validation, discrepancy management, medical coding, data extraction, database locking, and regulatory requirements
Preferred Qualifications:
Clinical trial experience using and deploying digital health technologies
Experience with electronic data captures (EDC) solutions, e.g., REDCap, Medrio
Familiarity with medical informatics standards like CDISC
Experience with AWS or other cloud-based development
Experience processing large data sets (including from digital health technologies) in a distributed computing environment
Experience with SQL or NoSQL-based technologies
Comprehensive understanding of the landscape of data structures, medical ontologies, interoperability standards, and data processing tools