Senior Clinical Delivery Scientist job opportunity at QuantHealth.

Home Jobs In Israel Tag: Clinical Data Science Senior Clinical Delivery Scientist position at QuantHealth


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QuantHealth Senior Clinical Delivery Scientist
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Pattern: full-time
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Clinical Data Science

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degreePhD
Israel

Clinical Delivery Specialist  Company Overview:  QuantHealth (QH) is a rapidly growing company specializing in the development of a cutting-edge platform for simulating clinical trials using big clinical data and state-of-the-art AI technologies. Our mission is to provide innovative solutions to pharmaceutical and biotechnology companies for de-risking the drug and clinical development process. We are currently seeking a proactive and skilled Clinical Delivery Specialist to join our Clinical Data Science team to drive scientific insights and deliver impactful results for our customers.    Responsibilities:  Lead the end-to-end execution of delivery projects using internal tools for data preparation, model development, clinical simulations, and insight generation.   Act as a liaison between QH and stakeholders in the pharmaceutical and biotechnology industries.  Work collaboratively with Clinical, Data Science, and Platform teams to ensure project requirements are accurately defined and met.  Ensure on-time delivery of project milestones, including the management of timelines, analysis, and simulation plans.  Address complex research questions through data analysis and clinical simulations on the QH platform, tailored to customer needs.  Communicate effectively with clients, providing project readouts, conclusions, and scientific recommendations to optimize clinical protocols.   Drive project execution from ideation to completion, including preparing meetings and presentations, ensuring scientific rigor and quality standards are met.  Collaborate with internal teams, including marketing, R&D, and product development, to continuously improve our platform and customer experience.    Qualifications:  Advanced degree (MD, PhD or MSc) in biology, immunology, biotechnology, epidemiology, or a related scientific field.  Experience in scientific project management within a clinical data context.  Strong communication and customer service skills, capable of engaging with a diverse range of clients and stakeholders.  Ability to manage multiple projects and priorities, while ensuring attention to detail.  Research and results-oriented mindset and strong scientific thinking.  Technologically savvy, with a willingness to learn and work with new tools and systems.  Capacity to thrive in a dynamic, fast-paced, and collaborative environment.    Advantage:  Familiarity with data science and data-driven analytics.   A working knowledge of Python data science stack or similar frameworks.   

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