Clinical Data Manager

• Provide leadership and vision to the team.
• Manage and deliver largescale highcomplexity studies across a range of sponsors and therapeutic areas.
• Manage sponsors at both the study and program levels.
• Ensure milestones meet timelines and quality deliverables.
• Provide project management expertise working with customer data managers key decisionmakers and internal team members to manage continuous process improvements and provide technical expertise.
• Conduct performance reviews establish annual expectations for the team and provide coaching and development as needed.
• Strategically monitor workload volume and ensure task assignments are balanced across the team to meet key deadlines and sponsor expectations.
• Ensure team members meet established quality and performance standards and recommend additional performance standards.
• Achieve growth hit revenue targets and foster organizational development.
• Establish cultivate and maintain strong longterm relationships with clients and their sponsors; identify develop and implement process improvement and outreach plans presentations and strategies designed to grow partnerships between clients and IQA.
• Identify skill and competency gaps at the individual level and work to craft development plans that will close these gaps.
• Actively engage with industry events to gather intelligence and enhance public perception and market penetration of IQA services and products; provide training on industry intelligence back to internal teams.
• Develop implement and measure marketing plans for IQA products and services targeting priority segments and geographies.
• Identify and create marketing content requirements with stakeholders across the organization.
• Maintain high visibility within customer organizations. Monitor customer satisfaction by communicating regularly with the customer.
• Provide innovative ideas and strategies to compete with global CROs by developing solutions and products.
• Identify use cases to leverage technologies like R Python & Julia in clinical trials.
• Identify opportunities for AI & ML in clinical trials.
• Increase IQA visibility by attending conferences presenting and publishing papers in national/international scientific journals and writing technical/functional blogs.
• Interact with industry SMEs and universities to establish a global forum for clinical research technologies.

• Bachelor s or Master s degree in Life Sciences Biostatistics Computer Science or related field.
• Proven experience in clinical data management in a pharmaceutical or CRO environment.
• Strong knowledge of data management practices and regulatory guidelines (e.g. GCP ICH).
• Proficiency in data management software and tools (e.g. EDC systems SAS).
• Excellent organizational communication and problemsolving skills.
• Ability to work collaboratively with multiple teams and manage multiple projects simultaneously.

clinical data management,data management,electronic data capture (edc),sas,problem solving,communication,organizational skills,innovation,leadership,biostatistics