Job Description

About nference Labs, Bangalore

nference Labs Bangalore is the India hub of nFerence, a global leader in computational biomedicine. Our Bangalore team works closely with world-class scientists, clinicians, and AI researchers to build cutting-edge biomedical intelligence platforms. The team plays a key role in advancing solutions that triangulate data from biomedical literature, molecular datasets, and real-world clinical information. The Bangalore office provides a fast-paced tech and research environment, encourages innovation, and offers opportunities to collaborate on groundbreaking biomedical AI initiatives.

Requirements

MBBS

from a reputed medical institution in India; candidates with other undergraduate degrees need

not

apply. Strong understanding of clinical medicine and patient care. Ability to search, review, and understand scientific literature including PubMed articles, medical journals, and research publications. Basic computer literacy including good familiarity with office suites. Basic familiarity with prompt engineering for Large Language Models such as ChatGPT, Gemini, etc. Elementary knowledge of biostatistics (preferred). Understanding of Electronic Health Record (EHR) data within the US healthcare system (preferred). Prior experience working in a technology or corporate environment (preferred).

Clinical Data Harmonisation: Manually validate the process of transforming data optimised for storage into easily computable data for research. Reviewing patient notes in Electronic Health Records when required. Working in close proximity with the AI team in developing high-quality software to interpret Electronic Health Records. Tagging datasets with high-level accuracy for the development of artificial intelligence models.

Benefits

Opportunity to become a permanent part of the "Google of Biomedicine" as recognised by the Washington Post. * Work with some of the brightest minds in the world solving impactful real-world problems through AI, Machine Learning, analytics, and insights derived from both structured and unstructured biomedical data.