WHAT YOU'LL DO:
- Develop and maintain AI-driven applications, ensuring high performance, scalability, and accessibility for the life sciences and healthcare domains.
- Research and integrate AI-related tools and techniques (e.g., LLM APIs, prompt engineering) into software solutions.
- Optimize application performance, troubleshoot issues, and ensure security compliance.
- Write quality source code and documentation; contribute to high-level technical designs in collaboration with other engineers.
- Conduct root cause analysis and implement reliable fixes for defects.
- Apply creative, out-of-the-box thinking to improve existing products and address technical challenges.
- Embrace transparency, inspection, and adaptation in an agile environment to deliver quality products.
- Champion software development best practices and technical standards within the team.
- Participate in defining and testing non-functional requirements (e.g., availability, scalability, reliability, maintainability).
- Collaborate with fellow engineers and cross-functional teams to ensure implementations meet business and technical goals.
- Contribute to a culture of trust, accountability, and continuous learning.
WHAT YOU'LL NEED:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Proficiency in Java and/or Python, with a solid understanding of object-oriented programming.
- Foundational knowledge of JVM (memory models, GC tuning, class loading).
- Familiarity with design patterns and software engineering best practices.
- Experience with backend frameworks like Spring Boot and frontend frameworks like Angular, React, or Vue is a plus.
- Experience working with cloud platforms (AWS, GCP, or Azure) is a plus.
- Familiarity with infrastructure tools like Terraform, Kubernetes, Docker, and CI/CD pipelines is a plus.
- Exposure to AI/ML concepts, especially Large Language Models (LLMs) and prompt engineering.
- Knowledge of relational databases (e.g., MySQL, PostgreSQL) and distributed data tools (e.g., Redis, Elasticsearch).
- Enthusiasm for learning about document indexing, search engines, and scalable data systems.
- Eagerness to grow in translating business requirements into technical solutions with mentorship.
- Strong problem-solving mindset and adaptability in tackling new technical challenges.
- Collaborative mindset and active participation in team discussions.
- Demonstrated passion for AI, innovation, and continuous learning.
- Experience or coursework in healthcare or life sciences is a strong plus.
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What We Do
We are a team of dedicated clinical terminologists, data scientists, industry subject matter experts, and informaticists who helped facilitate the evolution from analogue to digital capture of clinical events, the precise code-mapping that simplifies complex workflows, and the translation of unstructured into structured data. We “wrote the digital dictionary” used in every major EHR, and we are leveraging clinical AI to generate insights that expand and deepen our impact across the healthcare ecosystem.
At the end of the day, we don’t make decisions for our clients. We provide them with the digital tools to enable sound decision-making.
Why Work With Us
We are building a clinical intelligence stack—medical ontology, human expertise, and AI—that makes data more useful and more powerful. By enhancing data’s structure, richness, and precision, we reduce noise and error, streamline complexity, and create clarity across the clinical information chain.
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