Software Engineer - Data Quality

About the role

About Truveta

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 unique combination of health, software, and big data expertise who share our company values.

Location - Hyderabad, India.

This opportunity

Join the founding team of the Truveta India Development Center and play a pivotal role in shaping its future. As one of the early members, you will help build and scale a high-impact organization while contributing to the products and platforms that advance healthcare through data and AI. This is an unusual chance to influence both the technical direction and the culture of a growing global engineering hub.

Patients, doctors, and medical researchers deserve to benefit from the large-scale technological innovation and digital intelligence that have driven progress in other industries. In this position you will build online services, automation, and tooling that monitor Truveta's data and make sure it continues to meet our high-quality standards. The work calls for creative problem solving and a strong appetite for applying AI and machine learning to anomaly detection, supported by statistical methods, to monitor and reason over big data at scale.

Who we need

We are looking for software engineers who are excited by the opportunity to improve healthcare in far-reaching ways, and who sit comfortably at the boundary between production engineering and applied machine learning. You will design and ship services rather than notebooks, and you will be expected to explain why a given detection method suits a given data problem, how you evaluated it, and what its false-alert rate costs the people who receive its alerts.

Beyond core capabilities, we are seeking problem solvers, collaborative teammates, and people willing to roll up their sleeves while making a difference. You will learn the healthcare domain quickly, because the quality of clinical data cannot be judged without understanding what the data is meant to represent.

What you will do

In this role you will:

- Build performant AI-based anomaly detection and monitoring systems, using machine learning and supporting statistical methods to analyze big data at scale.

- Design, implement, test, deploy, operate, and tune the online services, automation, and tooling that monitor Truveta's data, contributing hands-on to every stage of the software development lifecycle.

- Detect and characterize data-quality issues such as missing or late feeds, volume and distribution shifts, schema and contract drift, duplication, and implausible clinical values.

- Develop and evaluate detection approaches, from statistical baselines and time-series methods through machine-learning models, and measure them on precision, recall, and alert usefulness rather than accuracy alone.