Clinical Data Scientist Jobs

We are a team of passionate medical and technological innovators on a mission to improve patient treatment and outcomes with cutting-edge medical devices like the FloPatch. FloPatch is the world’s first wireless Doppler ultrasound system designed to support the clinical management of critically ill patients. The wearable sensor enables real-time functional hemodynamic monitoring for patients requiring cardiopulmonary and fluid resuscitation.

The Clinical Data Scientist will play an essential role on our growing team. They will be responsible for providing statistical support, with a focus on clinical studies, and publications support. Our ideal candidate will be able to connect the dots between the outcomes of a clinical study and raw data. Also, they will be able to use their strong programming skills to improve product processes that directly impact patient outcomes.

If you are highly skilled in understanding how/why data applies to research, able to understand DSP signal processing and a self-starter who is passionate about transforming raw data into improved clinical and patient outcomes, then we want to hear from you!

Responsibilities:

• Provide data science leadership for evidence generation.
• 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.
• Strong programming skills (Python, R, Swift preferred) to optimize software product capabilities.
• Lead, review and evaluate clinical research results in scientific literature to determine continued clinical relevance of products and/or potential for claim extension.
• Partake in designing and leading clinical research studies from data generation, data analysis, outlining manuscript, and follow-up process.
• Work closely with clinical science and medical affairs directors to create, confirm and validate clinical hypotheses.
• Overview maintenance of trial master files and databases and data version control. Implementing protocols, studies and operational processes.
• Reviewing and revising protocols as appropriate and elevate status/priority to relevant stakeholders.
• Demonstrate experience working with large, complex datasets to solve exciting analysis problems.

Qualifications and Education Requirements:

• Proficient in Python.
• Research-based PhD with 2+ years in quantitative discipline (e.g. statistics, computer science, applied mathematics, or similar) or equivalent practical experience.
• Bachelor’s degree in quantitative discipline (e.g. statistics, computer science, applied mathematics, or similar) with 5+ years medical imaging/hemodynamics experience OR MSc with 3+ years of medical imaging/hemodynamics experience OR experience in biotech/pharmaceuticals industries.
• Experience with version control (GitHub)
• Evidence of strong peer-reviewed publication record.

We wish to thank all applicants, however, only those selected for an interview will be contacted directly. If you are selected to participate in the recruitment process, accommodations are available upon your request to meet your accessibility needs.