Software Engineer (Full Stack) – Clinical Intelligence

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our  company values .   Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our office in  Hyderabad, India.   This Opportunity   Join the founding team of the Truveta India Development Center (IDC) and play a pivotal role in shaping its future. As one of the initial members, you'll help build and scale a high-impact organization while contributing to products and platforms that advance healthcare through data and AI. This is a unique opportunity to influence both the technical direction and the culture of a growing global engineering hub. This highly visible position will report to our Director of Clinical Intelligence and AI Evaluation team directly and will collaborate closely with engineers, product managers, designers, and ML teams across geographies.    Who We Need    Truveta is rapidly building a talented and diverse team to tackle complex healthcare domain data and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.   We are seeking  Full Stack Engineers to help build our critical internal annotation and administrative platforms to enable high-quality data modelling, clinical note annotation and normalization, LLM-based labelling, concept mapping, operational workflows and model evaluation frameworks across the company. We are looking for engineers who enjoy solving complex full stack, i.e., both UX and backend data problems and want to build tools used daily by internal clinical domain and technical experts.    Responsibilities   Design, build, and maintain full-stack features for clinical data annotation and internal tooling platforms.    Implement advanced UI interactions such as text highlighting, tagging, categorization, and review workflows.    Build backend services that support high-quality data modelling, clinical note annotation and normalization, LLM-based labelling, concept mapping, operational workflows and model evaluation frameworks.    Collaborate with ML engineers to translate annotation requirements into scalable solutions for LLM based model development and improve model performance.   Optimize UX performance for high-volume data and concurrent users.    Participate in code reviews, architecture discussions, and on-call rotation.    Communicate on the status of various projects and collaborate with multidisciplinary stakeholders to ensure that clinical data projects are successfully executed and delivered.   Excel in providing technical analytics support as well as directly working with internal stakeholders to troubleshoot any data analyses. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on real-world data to address their empirical questions.     Required Skills   Graduate or Masters level  educational degree in computer science, data science, clinical informatics, health information management, clinical research, data analysis or related fields.     2+ years of demonstrated professional software development experience, including,   Front end development experience with React and TypeScript ,    state management frameworks such as Redux,    Backend experience using  NestJS (Node.js)  and/or  C#/.NET   Familiarity with RESTful API design and modern service architectures.    Strong proficiency in SQL, data structures, at least one statistical programming language (R or Python), familiar with Spark bigdata analytics environments, GenAI tools, for data wrangling, analysis, and reproducible research workflows.   working with customers or research teams to translate their asks into executable analytical code, rigorous quality analytical datasets, deliver high quality research analyses.     Strong hands-on problem-solving skills, troubleshoot and identify data or methodological issues early and communicate the