Client Data Management Specialist

About the role

The Client Data Management Specialist plays an important role within the Client Data Management (CDM) team and contributes to maximizing Adaptive’s revenue through generation and delivery of clinical trial data for high-value BioPharma customers using Adaptive’s MRD assays.

Responsibilities

• Deliverable Generation
• Collections study data and generates, reviews and delivers study files to customers as per study specifications, using multiple internal and external resources as needed in consultation with other CDM team members to deliver data timely and achieve the goals of Adaptive and clients.
• Supports cross-functional efforts to troubleshoot issues and to ensure study deliverables can be generated in an efficient and timely manner.
• Supports discussions with Clinical Operations, Regulatory Affairs, and Commercial teams to align data workflows.
• Awareness of client data architecture and lifecycle management needs.
• DTA Management
• Serves as main point of contact for DTA-related discussions for assigned customers, including projects of low to medium complexity and scope.
• Participates in training and assists with DTA implementations.
• Maintains DTAs for assigned customers.
• Drafts and reviews low-complexity DTAs that meet data needs for new and existing customers, participating in negotiations with customers, and finalizing them under supervision.
• Develops an understanding and awareness of general customer data needs.
• Alerts the CDM team of any conformity issues related to custom clinical database specifications and solves them in collaboration with other team members.
• Uses analytical insights to suggest process improvements and ensures conformity with custom clinical database specifications.
• Client Communication
• Attends meetings with assigned customers (low to medium complexity and scope) and third-party data managers during study set up and implementation to support customer data needs with team support.
• Keeps detailed notes for CDM’s future reference.
• Suggests process improvements and trains on best practices to systematically address client questions and inquiries.
• Responds to client questions using general understanding of data and biological sciences.
• Coordinates communication regarding user access for internal and external platforms.
• Assists in interactions with data-end users and the data storage/management architecture team to ensure that systems meet business and client needs.
• Software Tool Generation & Validation (Coding & Scripting)
• Under supervision, runs, creates, and maintains JSON scripts to process, clean, and generate study-specific deliverables for Biopharma study sponsors.
• Researches and applies solutions to scripting tasks (i.e. Python Documentation).
• Creates, implements, and maintains new and existing scripts and enhancements to meet sponsor specific reporting requirements.
• Participates in team efforts to solve low to moderately complex data wrangling efforts.
• Fulfills established processes for the maintenance of the code repository for data analysis tools.
• Assists external user set up and access to data management systems.
• Assists in the development of custom tools to improve and automate existing processes, streamline data workflows, and enable scalable business operations.
• Ensures documentation and compliance by maintaining version control through GitLab, reviewing standard operating procedures (SOPs) for data/sample management, and monitor compliance with data security protocols.
• Order Tracking & Management
• Assists in monitoring orders, aligning with cross-functional teams and assigning data release related activities to other team members to ensure data management deliverables are met on time under supervision from team lead.
• Assists with CDM reporting and analytics efforts to support leadership decision-making.
• Utilizes communication skills, available metrics and reports, experience, knowledge, and other resources to coordinate data management activities including order and revenue tracking and forecasting.
• Participates in discussions with study team members from different functional areas to ensure they deliver components affecting data to ensure successful and timely execution of deliverables.
• May lead CDM weekly calls to coordinate with the team on project deadlines and DTA statuses.

Qualifications

• Bachelors + 2 years of related experience, or Masters + 0 years of related experience
• Exposure to database management best practices.
• Exposure to data tools and programming languages such as Java, Python, or R as well as software tools (such as excel, bash, and git).
• Skills in data analysis, identifying trends, and developing solutions through data analysis.
• The ability to analyze complex data, identify patterns, and develop effective solutions.
• Excellent written and verbal communication skills are needed to interpret and share insights with both technical and non-technical teams.
• A high level of organization is required to manage incoming data files, maintain data systems, and ensure data accuracy.
• A strong focus on detail is essential to ensure the accuracy and integrity of sensitive client information.
• Ability to work as part of a team effectively and efficiently in a quick turnaround environment with tight deadlines.