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Life Sciences Delivery Manager

Posted about 2 months agoViewed

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💎 Seniority level: Lead, 5 years

📍 Location: USA

🔍 Industry: Healthcare technology

🗣️ Languages: English

⏳ Experience: 5 years

🪄 Skills: LeadershipProject ManagementArtificial IntelligenceBusiness DevelopmentData AnalysisMachine LearningProject CoordinationCross-functional Team LeadershipStrategyCommunication SkillsAnalytical SkillsCollaboration

Requirements:
  • Minimum of 5 years’ experience planning and executing clinical trials.
  • Experience with study sponsors or CROs is a plus.
  • Main point of contact experience in complex, technical, client-facing roles.
  • Experience overseeing projects requiring cross-team collaboration.
  • Strong business judgment and ability to quantify value to clients.
  • Excellent communication skills to present complex information clearly.
  • Ability to work in a fast-paced startup environment.
  • Self-motivated, dependable, flexible, and autonomous with prioritization skills.
  • Ability to travel up to 25%.
  • Bachelor’s degree in a medical or scientific area; advanced degree preferred.
Responsibilities:
  • Coordinate technical aspects of LS project delivery.
  • Understand customers’ objectives and current pain points and develop a plan for solving them with Deep 6 products and services.
  • Execute customer contracts ensuring that all deliverables are achieved.
  • Build long-lasting customer relationships to boost engagement, advocacy, and expansion.
  • Become a credible advisor to customers.
  • Analyze problems, research solutions, and communicate the best options.
  • Create and deliver structured account business reviews communicating value realized from Deep 6.
  • Obtain positive references from every customer.
  • Work with Sales to understand contract terms and deliverables.
  • Collaborate with the Healthcare delivery team to launch studies and monitor progress.
  • Provide feedback on the product roadmap regarding LS customer needs.
  • Collaborate with Sales for collateral and presentations.
  • Collect ROI-based case studies and contribute to playbooks.
  • Define best practices for LS project delivery.
  • Contribute to internal infrastructure improvements.
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