Clinical Delivery Scientist

3 days ago

Tel Aviv, Tel Aviv, Israel QuantHealth Full time $70,000 - $120,000 per year

Clinical Delivery Scientist

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 Scientist 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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