- About this Job
Job Posting for Genotrial: Position: Full-time Machine Learning Developer Description: Genotrial, an AI-driven platform providing efficient personalized cancer trial matching, is seeking a Machine Learning Developer to join our growing team. As we address the critical issue of inadequate clinical trial participation, we're looking for a professional who can contribute to streamlining our patient-trial matching process, making use of genomic data and AI. We are a tech-oriented startup, integrating machine learning algorithms, genomic data analysis and Electronic Medical Record system to achieve our mission of providing greater access for cancer patients to cutting edge treatments. We seek an individual who shares our passion for technology and medical innovation. Responsibilities: - Develop, fine-tune and manage our machine learning algorithms. - Extract insights from genomic data and electronic medical records. - Enhance our platform's ability to accurately match patients to trials. Requirements: - Extensive experience battling with large datasets. - Proficiency in Python, familiarity with AI libraries such as TensorFlow or
- Idea
We conceived Genotrial addressing the pressing issue of inadequate cancer trial participation, causing 55% trial failures. The disconnection in awareness stems from outdated data practices and poor EMR integration. Conversely, Genotrial revolutionizes this scenario by using genomic data for patient-trial matching, overcoming enrollment hurdles in the 23,000 active clinical trials.
- Problems
Our platform harnesses AI technology to enhance clinical trial efficiency by facilitating accurate patient matching, thereby streamlining recruitment for CROs and pharmaceutical companies. This can elevate the standard of patient care at healthcare organizations while reducing barriers to participation for patients themselves.
- Solution
Our solution is a computational platform harnessing AI and genomic data for patient-trial matching, ensuring targeted care, speedy enrollment, utmost accuracy and overall improved outcomes.