Kontakt.io is building the platform that care operations run on. We reduce waste, cut costs, and improve revenue by improving throughput, asset utilization and staff productivity. Our platform uses AI, RTLS, and EHR data to enable self-learning agents to automate workflows, adapt in real-time, and orchestrate all of care delivery operations.
Requirements
- Proficiency in Python or R, with experience in libraries/frameworks like sci-kit-learn, PyTorch, or TensorFlow.
- Strong SQL skills and familiarity with distributed computing platforms like Spark or Hadoop.
- Experience with cloud environments (AWS, GCP, Azure) and MLOps best practices.
- Knowledge of LLMs, NLP, and Retriever-Augmented Generation (RAG).
- Strong analytical thinking and problem-solving abilities.
- Hands-on experience with operations research methods, simulation modeling, and resource optimization in healthcare or related fields.
- Familiarity with DevOps/MLOps tools like Docker, Kubernetes, and Airflow, as well as CI/CD pipelines.
Responsibilities
- Design and deploy advanced machine learning, operations research, and optimization solutions across various aspects of healthcare operations.
- Translate complex healthcare challenges into actionable strategies.
- Excel at developing and deploying machine learning models to drive improved patient care and operational efficiency using complex healthcare data.
- Are skilled at creating and scaling LLM-based solutions, including Retriever-Augmented Generation (RAG) architectures, for innovative applications in healthcare analytics.
- Bring expertise in applying operations research techniques such as linear programming, queueing theory, and optimization to healthcare challenges like scheduling, resource allocation, and capacity planning.
- Design experiments, pilot studies, and A/B tests to assess the impact of interventions in clinical and operational contexts.
- Stay current with advancements in machine learning, operations research, and healthcare analytics, ensuring innovative and compliant solutions.
Other
- Working alongside clinicians, data engineers, product managers, and hospital administrators, you will translate complex healthcare challenges into actionable strategies.
- The ideal candidate will have a strong technical skill set, proven leadership in end-to-end project delivery, and a deep understanding of healthcare data and regulations.
- Collaborate effectively with clinicians, operations teams, and product managers to align data-driven solutions with business goals.
- Prioritize adherence to healthcare privacy regulations (e.g., HIPAA) and implement secure workflows for data handling and deployment.
- Have excellent communication skills and can convey complex technical concepts to both technical and non-technical stakeholders.
