Clinical Data Manager
3 weeks ago
- Provide leadership and vision tothe team.
- Manage and deliver largescalehighcomplexity studies across a range of sponsors and therapeuticareas.
- Manage sponsors at both the study andprogram levels.
- Ensure milestones meettimelines and quality deliverables.
- Provideproject management expertise working with customer data managerskey decisionmakers and internal team members to manage continuousprocess improvements and provide technicalexpertise.
- Conduct performance reviewsestablish annual expectations for the team and provide coaching anddevelopment as needed.
- Strategically monitorworkload volume and ensure task assignments are balanced across theteam to meet key deadlines and sponsorexpectations.
- Ensure team members meetestablished quality and performance standards and recommendadditional performance standards.
- Achievegrowth hit revenue targets and foster organizationaldevelopment.
- Establish cultivate and maintainstrong longterm relationships with clients and their sponsors;identify develop and implement process improvement and outreachplans presentations and strategies designed to grow partnershipsbetween clients and IQA.
- Identify skill andcompetency gaps at the individual level and work to craftdevelopment plans that will close thesegaps.
- Actively engage with industry events togather intelligence and enhance public perception and marketpenetration of IQA services and products; provide training onindustry intelligence back to internalteams.
- Develop implement and measure marketingplans for IQA products and services targeting priority segments andgeographies.
- Identify and create marketingcontent requirements with stakeholders across theorganization.
- Maintain high visibility withincustomer organizations. Monitor customer satisfaction bycommunicating regularly with thecustomer.
- Provide innovative ideas andstrategies to compete with global CROs by developing solutions andproducts.
- Identify use cases to leveragetechnologies like R Python & Julia in clinicaltrials.
- Identify opportunities for AI &ML in clinical trials.
- Increase IQA visibilityby attending conferences presenting and publishing papers innational/international scientific journals and writingtechnical/functional blogs.
- Interact withindustry SMEs and universities to establish a global forum forclinical researchtechnologies.
Qualifications:
- Bachelor s or Master s degree inLife Sciences Biostatistics Computer Science or relatedfield.
- Proven experience in clinical datamanagement in a pharmaceutical or CROenvironment.
- Strong knowledge of datamanagement practices and regulatory guidelines (e.g. GCPICH).
- Proficiency in data management softwareand tools (e.g. EDC systems SAS).
- Excellentorganizational communication and problemsolvingskills.
- Ability to work collaboratively withmultiple teams and manage multiple projectssimultaneously.
clinicaldata management,data management,electronic data capture(edc),sas,problem solving,communication,organizationalskills,innovation,leadership,biostatistics
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