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, 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 a Data Scientist, 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 senior data scientists, clinical experts, engineering, and machine learning operations (MLOps) teams to translate business and clinical needs into data science solutions.
- Design, build, and validate robust AI models, owning significant components of the model development lifecycle from data preparation through testing.
- Implement the data transformation and feature engineering logic required for model development and evaluation in collaboration with MLOps and engineering teams.
- Continuously monitor model performance in production, analyzing results, and contributing to model-retraining and update efforts.
- Actively contribute to the team’s knowledge base by sharing useful techniques, participating in code reviews, and documenting your work clearly.
Qualifications:
- Master’s degree or PhD in computer science, data science, statistics, biomedical engineering, or a related field.
- At least 3 years of experience in data science, machine learning, or deep learning, preferably in the healthcare domain.
- Proficient in Python and common data science libraries and frameworks, such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
- Solid understanding of the model development lifecycle, including version control (Git), experimentation, and validation techniques.
- Experience developing models on a major cloud platform. Familiarity with Google Cloud Platform (GCP) is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, presentation, and collaboration skills.
- Familiarity with any of the following is a plus: Natural Language Processing (NLP), model interpretability and fairness techniques, regulated software development environments, or clinical data standards (e.g., OMOP, FHIR).
- 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 New York City, NY, or other cities may be required for collaboration with other members of the Lucem Health team.