Job Description
Mayo Clinic created Lucem Health in 2021 with its investor partners Rally Ventures and Commure (a General Catalyst company), along with the founding team. Our mission is to revolutionize care delivery through the practical application of clinical AI; our vision is a world in which clinicians detect problems before they become life threatening and patients get world class care, everywhere.
Our platform connects patient data from varied sources with powerful, clinically focused AI algorithms and other advanced tools. We deliver the insights generated by these tools seamlessly into clinical workflow: to the right stakeholder, in the right place, in the right context, at the right time. And we help clinicians and other stakeholders engage with, understand, trust, and adopt these tools so they see them as valuable partners that support better care and outcomes for patients. Lucem provides AI-enabled software solutions that deliver specific and measurable clinical value propositions and financial benefits to our customers.
Position Summary
Join our small and fully remote healthcare technology company, revolutionizing care delivery through the practical application of clinical AI. We enable clinicians to detect problems before they become life-threatening and ensure world-class care for patients everywhere. Our platform provides AI-enabled software solutions that deliver specific and measurable clinical value propositions and financial benefits to our customers, which include health systems and life sciences companies.
As an ML Ops Engineer, you will play a pivotal role in developing our software products, specifically our Clinical AI, for healthcare provider organizations and life sciences companies.
Responsibilities:
- Work with clinical experts, data scientists, and software developers to understand the business and clinical needs and translate them into ML ops solutions.
- Manage and optimize cloud infrastructure for machine learning workloads on platforms such as Google Cloud Platform (GCP) and Microsoft Azure.
- Develop and maintain infrastructure as code (IaC) using tools like Terraform.
- Write and maintain scripts and applications in Golang for various ML Ops tasks.
- Ensure the quality, reliability, and scalability of the data science pipelines and the AI models.
- Monitor and evaluate the performance and impact of the AI models in production.
- Stay updated with the latest research and trends in ML Ops and early disease detection.
Qualifications:
- Bachelor’s degree or higher in computer science, data science, statistics, biomedical engineering, or a related field.
- At least 3 years of experience in software development or machine learning operations.
- Proficient in Python and Golang and common data science libraries and frameworks, such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
- Experience in deploying and hosting AI models using cloud platforms, such as AWS, Azure, or Google Cloud.
- Experience in developing AI models is a plus, but not necessary.
- Knowledge of clinical data standards, such as HL7, FHIR, DICOM, etc.
- Familiarity with clinical terminologies, such as ICD, SNOMED, LOINC, etc.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, presentation, and collaboration skills.
- Passion for improving healthcare outcomes and making a positive impact on society.
This is a remote position reporting to a Development Manager. While our workforce is remote, occasional travel to customers, prospects, and our local hubs in Raleigh, North Carolina and Minneapolis, MN, or other cities may be required for collaboration with other members of the Lucem Health team.