
Artificial Intelligence • Healthcare Insurance • Pharmaceuticals
OM1, Inc. is a company specializing in the application of artificial intelligence and real-world data to revolutionize healthcare delivery and research. The company provides advanced analytics and data networks that support real-world evidence generation, predictive medicine, and personalized insights at the point of care. OM1's solutions are particularly focused on chronic disease management across various specialty areas, including immunology, mental health, neurosciences, cardiometabolic, dermatology, gastroenterology, respiratory, ENT, and rheumatology. Their innovative AI-driven technologies are trusted by top pharmaceutical and medical device companies, enabling improved treatment and diagnosis through detailed patient data analysis and insights for clinical outcomes. OM1 collaborates with health systems for early cancer detection and other initiatives, continuing to push the boundaries of medical research and patient care.
51 - 200 employees
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
💊 Pharmaceuticals
October 22

Artificial Intelligence • Healthcare Insurance • Pharmaceuticals
OM1, Inc. is a company specializing in the application of artificial intelligence and real-world data to revolutionize healthcare delivery and research. The company provides advanced analytics and data networks that support real-world evidence generation, predictive medicine, and personalized insights at the point of care. OM1's solutions are particularly focused on chronic disease management across various specialty areas, including immunology, mental health, neurosciences, cardiometabolic, dermatology, gastroenterology, respiratory, ENT, and rheumatology. Their innovative AI-driven technologies are trusted by top pharmaceutical and medical device companies, enabling improved treatment and diagnosis through detailed patient data analysis and insights for clinical outcomes. OM1 collaborates with health systems for early cancer detection and other initiatives, continuing to push the boundaries of medical research and patient care.
51 - 200 employees
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
💊 Pharmaceuticals
• Lead and manage a team of AI/ML engineers, providing technical guidance, career development, and performance management • Define and execute the technical strategy for AI/ML infrastructure and model deployment across the organization • Drive architectural decisions for deploying and operating AI/ML models in production at scale. Evaluate and establish standards for tools and technologies to ensure alignment with industry best practices • Oversee the design and implementation of APIs that seamlessly integrate data, AI/ML models and downstream applications • Provide executive-level technical leadership for core strategic AI/ML initiatives, working closely with senior leadership to align technical roadmaps with business objectives • Build and scale the AI/ML engineering team, including hiring, onboarding, and developing talent pipelines • Foster a culture of innovation, continuous learning, and engineering excellence within your organization • Lead cross-functional collaboration with Product Management, Data Science, and other stakeholders within a fast-paced, dynamic environment • Champion agentic application development initiatives across the engineering organization • Establish engineering best practices, code review standards, and quality assurance processes
• 3+ years of engineering leadership experience • Proven track record of building and scaling high-performing engineering teams • Experience with strategic planning, budget management, and cross-functional collaboration at the director level • Strong communication skills with ability to present technical concepts to executive stakeholders • Extensive hands-on experience (8+ years) with AI/ML tools and technologies for deploying and maintaining models that can process data in batch and/or real-time (e.g. Modelbit, MLflow, Kubeflow) • Deep expertise in developing, deploying and operating ML models in production environments at scale • Expert-level programming skills in Python and familiarity with other relevant languages • Extensive experience with data platform tools and technologies (e.g. Snowflake, Airflow, dbt, Kubernetes) • Experience with rapid development using AI code editors/agents (e.g. Cursor) and ability to drive adoption across teams • Experience working in Agile environments with continuous delivery practices • Proven ability to build diverse teams and create inclusive environments where all voices are heard and respected.
• Health insurance • Professional development opportunities
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