nFerence Off-Campus drive 2021 hiring for Data Science Interns

Published by Okaieitsme on


nFerence Labs is hiring for Data Science Interns. For insights and updates related to off-campus drives and internship drives be active on our website.

At nFerence Labs, the “Google of Biomedicine” (See also for more information of our research work especially pertaining to Covid19), we are building the world’s first massive scale platform for pharmaco-biomedical computing. Our platform is premised on using AI/Deep Learning (on clinical text, medical images and other signals) and massive high performance computing to help pharma companies perform faster and more efficient drug discovery, and also help early diagnoses of several key diseases.

We collaborate heavily with premier medical institutions such as the Mayo Clinic and build systems to get deep medical insights from patient information including patient notes and lab information, medical images, ECGs etc. We are a well funded company and are looking to grow on all fronts.

Our team is a blend of CS folks and domain experts (biological science and medical MDs, PhDs etc) constituting a unique community built of alumni from the likes of MIT, Harvard, the IITs, IISc and other premier institutions.

We would love to explore if you would be interested in joining us in our mission which itself is a part of the grander 21st century goal of reverse engineering biological systems.

Work LocationBengaluru
ProfileData Science Interns
Duration6 months


· Pursuing Masters or equivalent advanced degree from a top tier Technology school
· Record of delivering large analytical solutions with business impact
· Experience on R/SAS/Matlab and SQL
· Excellent Microsoft Office skills, including a strong working knowledge of Excel
· Problem solving ability and passion for big data
· Excellent communication and data presentation skills
· Fluent written and spoken English


Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.
• Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
• Academic or Project Experience with Machine and Deep Learning toolkits such as TensorFlow and PyTorch.
• Academic Experience with Big Data platforms like Apache Spark and Hadoop.
• Familiarity with data processing with Python, R & SQL.

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