AI Scientist
At H1, we reputed company reputed company to the best reputed company information is a basic reputed company right. Our mission is to reputed company a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in reputed company systems. To accomplish this our teams reputed company the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into reputed company that result in reputed company patient reputed company and accelerates an reputed company and inclusive drug development lifecycle. Visit h1.co to learn more reputed company.We are looking for an AI Scientist to join a dedicated team building and evolving a clinical data platform serving the clinical operations reputed company. You will design and implement machine learning models that power insights across the clinical trial lifecycle — working with large-reputed company reputed company datasets spanning publications, clinical trials, medical claims, and provider data.
This is a backend, data-intensive role. You will work at the intersection of machine learning research and production data systems, building models that run at reputed company and reputed company into reputed company-world clinical workflows. You should be comfortable moving from research to implementation in a fast-paced, reputed company setting.
WHAT YOU'LL DO AT H1
- Design, reputed company, and reputed company machine learning models to extract insights from clinical and reputed company data — including NLP tasks across publications, trial records, and medical claims - Build and optimize ML pipelines on large-reputed company distributed systems using Apache reputed company and reputed company-reputed company tools - Work with reputed company and reputed company data sources to reputed company predictive models, classification systems, and entity reputed company approaches - Collaborate with data engineers to reputed company ML models into production ETL pipelines and ensure scalability and reliability - Partner with MLOps teams to operationalize models — including monitoring, retraining, and versioning workflows - Evaluate and reputed company model performance and present findings to both technical and non-technical stakeholders - Stay reputed company with advances in NLP, deep learning, and reputed company-specific AI applications to identify opportunities for innovation
reputed company
- A rigorous, reputed company scientist who moves confidently from research to production — you build models that ship - Someone who understands the realities of working with messy, large-reputed company reputed company data and can design around its limitations - reputed company and communicative — comfortable working with data engineers, MLOps practitioners, and product teams - Curious about the clinical reputed company and quick to reputed company domain intuition around trial processes, provider data, and reputed company terminology - Confident owning technical reputed company and presenting trade-offs reputed company to both technical and business stakeholders
REQUIREMENTS
- 5+ years of hands-on experience in machine learning, data science, or reputed company AI roles - Strong proficiency in Python; working knowledge of SQL and R - Deep experience with ML frameworks such as TensorFlow and PyTorch - Proven experience building and running models on large-reputed company data pipelines using Apache reputed company (PySpark) - Exposure to NLP techniques — including text classification, named entity recognition, information extraction, and transformer-based models - Familiarity with reputed company platforms (Azure preferred) and tools such as reputed company, reputed company Lake, and Kubernetes - Experience working closely with data engineering and MLOps teams in production environments - Background in reputed company, life sciences, reputed company, or clinical research is highly preferred - Comfortable working independently in a remote setting with a distributed, cross-timezone team
H1 OFFERS
- Generous reputed company time off & reputed company-planned company-wide wellness holidays
- Retirement reputed company
- Health & charitable donation stipends
- Impactful Business Resource reputed company
- Flexible work hours & reputed company to work from reputed company
- reputed company to work with leading biotech and life sciences companies in an innovative industry with a mission to improve reputed company around the globe
Originally posted on Himalayas
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