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 (5+ years of experience)

• Strong communication and customer service skills, capable of engaging with a diverse range of clients and stakeholders. 
• A working knowledge of Python data science stack or similar frameworks. 

• 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.