HOPPR

Data Scientist

• Join HOPPR as a Data Scientist and play a pivotal role in shaping the future of multimodal AI in medicine.
• Collaborate with researchers, engineers, and clinicians to enhance data infrastructure and develop impactful solutions with vast amounts of unstructured datasets like radiology scans, patient reports, and electronic health records (EHRs).
• You’ll tackle complex challenges and drive innovations that transform patient care.
• Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets.
• Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals.
• Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments.
• Design and implement MLOps practices to streamline, scale, and automate machine learning workflows.
• Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools.
• Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes.
• Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

Machine Learning Engineer

• Develop, deploy, and maintain state-of-the-art machine learning models for medical imaging, NLP, and multimodal tasks.
• Design and implement robust, scalable ML pipelines and shared infrastructure to support agile experimentation and deployment.
• Collaborate with researchers to translate novel algorithms into production-ready solutions.
• Build and maintain MLOps tools and practices, including automated testing, continuous integration, and monitoring of deployed models.
• Optimize model performance for speed, reliability, and scalability in production environments.
• Partner with clinicians, engineers, and product teams to align machine learning efforts with clinical and product needs.
• Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

ML Engineer

Account Manager

• Own a portfolio of enterprise accounts and leads.
• Build and maintain a data-driven pipeline that supports market growth.
• Lead sales cycles through discovery, qualification, planning, pricing, contracting, and signature.
• Maintain rigorous pipeline hygiene, including stage definitions and forecast accuracy.
• Establish multi-threaded relationships with key stakeholders.
• Identify and address objections; align stakeholders to a clear buying process.
• Close new business and expand within existing accounts.

Data Scientist

ML Engineer

Account Manager, Enterprise Partners