Who We Are

Lucem Health’s mission is to help revolutionize diagnostic medicine. With our partner and investor Mayo Clinic, we will enable and support earlier disease detection, increased diagnostic efficiency, and greater patient agency.

“Lucem” is a Latin word meaning “bring the light of day.” Our platform helps diagnostic medicine focused AI and machine learning algorithms “see the light of day” by connecting these algorithms with patient telemetry data and delivering algorithm generated insights into clinical workflows… to the right stakeholder, in the right place, in the right context, at the right time.

Founded in 2021 through a collaboration between Mayo Clinic, Rally Ventures, and Commure (a General Catalyst company), Lucem Health is on a mission to revolutionize healthcare delivery with the practical application of clinical AI. We empower healthcare organizations to detect diseases at an earlier stage and identify patients who are undiagnosed, ultimately improving outcomes and optimizing limited clinical resources. We envision a future where proactive care enables problems to be detected before they become life threatening and patients get world class care, everywhere.

We are focused on helping providers deliver more proactive care by accelerating diagnosis and treatment. To do so, we’ve built a platform that 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. 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.

We leverage this platform – Lucem Health Reveal – to deliver AI-enabled solutions, targeted at specific diseases, that deliver distinct and measurable clinical value propositions and financial benefits to our provider customers.

About our Products – Reveal, Disease Insights, and AI Model Development:

Lucem Health’s Reveal solutions leverage clinical AI models to identify patients at a higher risk for life-threatening or chronic diseases—even in the absence of traditional indicators such as symptoms or screening results. By detecting subtle patterns in clinical data, Reveal solutions enhance early detection and treatment acceleration, driving proactive care strategies and meaningful clinical and financial yield all while optimizing scarce care delivery resources.

Disease Insights is an advanced analytics platform designed to help our life science partners refine provider outreach, optimize reimbursement strategies, and capture a larger share of a growing market. It leverages real-world patient data to give insight into diagnostic and treatment pathways across populations of patients.

The AI models created by our data science team serve as the engines behind our Reveal solutions. This team develops and refines these advanced clinical AI models to identify patients at highest risk of disease.

Position Summary

At Lucem we’re turning raw clinical data into actionable insights and early disease detection solutions. Our data platform sits at the heart of everything we build, and we want a Software Engineer who can leverage the latest AI technologies to supercharge that foundation while maintaining our strict compliance standards. If you thrive on writing code — turning natural language specs into production ready ETL pipelines, automating data mapping to clinical data schemas, or generating analytical insights from data —you’ll find a place here.

This position is remote. You will join a team comprised of other engineers and a product manager that are highly collaborative and meet face-to-face frequently. You will be empowered to make decisions independently and take responsibility for those decisions. This position will require occasional travel to Raleigh or Charlotte, North Carolina, or to other cities where there is, or will be, a critical mass of Lucem employees.

Key Responsibilities

• In conjunction with our Product team, help analyze our customer needs.
• Design, develop, test and fix software to meet those needs.
• Conduct data mapping and transformation on large raw healthcare datasets to produce standardized datasets.
• Build a data platform that adheres to compliance standards, makes data accessible to teams who need it, and will scale.
• Actively providing recommendations to the platform and our processes to continuously improve both.
• Embrace the agile mindset by favoring small, simple incremental changes to developing software.
• Write internal documentation to keep software systems maintainable and meet compliance standards.
• Perform validation of data outputs to ensure accuracy and relevance to clinical scenarios.
• Embrace pushing technical boundaries by leveraging AI technologies to perform data platform and analytics work.
• Troubleshoot and resolve issues related to data inaccuracies or inconsistencies.
• Analyze healthcare data sets to understand clinical context, build analytical tools, and discover available data elements.
• Coordination of data needs across business units.
• Have fun doing what you love to do!

Qualifications

• A bachelor’s degree in computer science, information systems, engineering or related field, or relevant experience in the Software Development field.
• 3+ years of software development experience.
• Knowledge of healthcare data standards, privacy and usage constraints, data protection, etc.
• Ability to develop software using Go, Python, React or other programming languages.
• Understanding of both relational (SQL) and document-based (noSQL) databases.
• Strong knowledge of cloud computing concepts and experience working with one of the following cloud providers: GCP, AWS, Azure (GCP as a preference).
• A strong understanding of agile product development best practices, with experience being part of Agile delivery teams.
• A servant leadership mindset: sees the team’s success as their success.
• A demonstrated ability to work autonomously and independently.
• A demonstrated ability to learn challenging or complex new domains, patterns, models, and technologies.
• Strong written and verbal communication skills and exceptional collaboration skills.
• Strong analytical and creative problem-solving skills.