Clinical Data Scientist

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Flosonics Medical

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🔧 Hardware

🤝 B2B

☁️ SaaS

Hardware • B2B • SaaS

Flosonics Medical is a medical technology company that develops FloPatch, a wireless, wearable Doppler ultrasound device and companion app that provides real-time hemodynamic assessments to clinicians. FloPatch measures carotid arterial pulse metrics (e. g. , FTc and VTI) to inform precision fluid management in acute care settings such as sepsis and septic shock, enabling faster, data-driven decisions and reducing delays in patient care. The FDA-cleared system is targeted at hospitals and trained healthcare providers, combining hands-free hardware with a software interface for monitoring and trending hemodynamic responses.

📋 Description

• Strong programming skills (Python - preferred, R) to optimize software product capabilities. • Demonstrate experience working with large, complex datasets to solve exciting analysis problems. • Provide data science leadership for evidence generation (i.e. handling, biostatistics, interpretation). • Work closely with clinical science and medical affairs directors to create, confirm and validate clinical hypotheses. • Partake in designing and leading clinical research studies from data generation, data analysis, outlining manuscript, and follow-up process. • Lead, review and evaluate clinical research results in scientific literature to determine continued clinical relevance of products and/or potential for claim extension. • Overview maintenance of trial master files and databases and data version control. • Implementing protocols, studies and operational processes. • Preparing project materials using various software programs to generate high quality reports, presentations, figures for grants, posters, manuscripts. • Attend key medical and scientific congresses and trade association meetings. • Serving as the primary contact for assigned studies. • Reviewing and revising protocols as appropriate and elevate status/priority to relevant stakeholders.

🎯 Requirements

• Bachelor’s degree in quantitative discipline (e.g. statistics, computer science, applied mathematics, or similar) • 5+ years medical imaging/hemodynamics experience OR higher-level graduate degree with 3+ years of medical imaging/hemodynamics experience OR experience in biotech/pharmaceuticals industries • Strong biostatistics experience • Evidence of strong peer-reviewed publication record • Proficient in Python • Experience with version control (GitHub).