[Hiring] DMTI Data Manager @Parexel

Role Description

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 defining 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 work closely with the data science team to ensure the effectiveness of tools and data quality
• Work under general supervision, performing 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
• 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