Data Scientist (Diversity Hiring)

About Nference:

At nFerence Labs, the "Google of Biomedicine" (See nference.ai/media ), where we are building the world's first large-scale computational platform for reverse engineering biology.

Our platform is premised on using AI and high-performance computing to connect clinical observations (phenotypes) to DNA-level phenomena (genotypes); in the process helps unravel biology, as well as help pharma companies, perform faster and more efficient drug discovery, and helps early diagnosis of several key diseases.

We collaborate heavily with premier medical research institutions to get medical insights from patient information including multiple modalities: text, lab data, images, ECGs, etc. See also anumana.ai, our affiliated company developing cardiology AI; where we are conducting clinical studies for cardiovascular algorithms.

Our team is a blend of computer scientists and domain experts (biology and medical MDs, and PhDs from premier universities), and we provide an exciting open fast-paced dynamic workplace designed to foster innovative solutions.

Designation: Data Scientist

Experience Range: 1-2 yrs

Job Location: Bangalore (Hybrid)

Qualifications:

Bachelors/Master’s/PhD in Computer Science or related technical field.

Experience and mathematical understanding in one or more of Natural Language Understanding, Computer Vision, Machine Learning, Optimisation.

Experience in effectively building and deploying ML systems using frameworks such as PyTorch,

Fluency in basics of computer science and engineering

The candidate would be responsible for building and analysing deep learning models on clinical notes. The work spans the usage of embedding models, local LLMs, training local LLMs etc.

Responsibilities:

Join our data science and engineering team to undertake cutting-edge R&D projects in the above-mentioned areas.

Interact with team members, including domain experts, to build and engineer optimal solutions for customer problems and platform features.

Adapt and innovate on the latest data science and computer science techniques to develop solutions for real-world, large-scale problems in healthcare.

Be responsible for deploying, debugging and ensuring high performance of developed solutions.