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Junior Clinical Scientist

Nference · Bangalore · India · On-site

Pay: INR 1,300,000 – 1,500,000 a year

Posted Sep 21, 2026

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Junior Clinical Scientist Location: Bangalore, India About nference nference is an AI-first healthcare technology company dedicated to accelerating biomedical discovery and transforming healthcare through artificial intelligence and large-scale computing. Our platforms help pharmaceutical companies, healthcare providers, and research organizations unlock insights from complex clinical, molecular, and imaging data to drive better decisions and improve patient outcomes. Founded with the vision of solving some of healthcare's most challenging problems, nference combines expertise in software engineering, machine learning, data science, and life sciences to build products that make a meaningful impact on global healthcare. Our People At nference, you'll work alongside software engineers, AI researchers, physicians, scientists, and product leaders who are passionate about solving meaningful, real-world problems. We foster a culture of ownership, curiosity, collaboration, technical excellence, and continuous learning. Our teams are encouraged to challenge assumptions, contribute ideas, and take ownership of their work from problem definition and experimentation through production. The Opportunity We're looking for a Junior Clinical Scientist who is passionate about applying clinical knowledge to healthcare technology, biomedical research, and AI-driven product development. In this role, you will work closely with Clinical, Data Science, and Software Engineering teams to support the development and validation of AI and data-driven solutions. You will contribute your clinical understanding to data curation, annotation, clinical interpretation, research, and the development of scientifically and clinically sound product requirements. The role provides an opportunity to work with real-world healthcare data, including EHRs, patient notes, medical codes, laboratory data, and physiological data such as ECGs , while gaining exposure to machine learning and healthcare technology. The ideal candidate should have a strong foundation in medicine, attention to detail, an interest in clinical research, and the ability to translate clinical concepts into structured requirements for technology teams. What You'll Do Work closely with Data Scientists and Software Engineers on the development of AI and deep-learning models for healthcare applications , including models involving ECG and other clinical data. Support the preparation and curation of datasets used for AI and machine learning development. Perform high-quality clinical data annotation and tagging according to defined guidelines and quality standards. Review annotated data for clinical accuracy, consistency, and completeness. Curate and validate disease codes, procedure codes, laboratory codes, and other clinical terminology from internal and external sources. Review patient notes and other EHR data to identify and interpret clinically relevant information. Apply clinical…