Intern - Generative Chemistry

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Responsibilities:

• Work with protein structure data with a goal of finding better drug targets to the protein
• Work with Generative AI models in designing different classes of drug candidates to the protein
• Understanding and analyzing protein structures under simulations
• Fine tune Generative AI models for design of peptides or small molecule drugs
• Work with sequence data to set up primary and secondary genomic analysis
• Use sequence data within open source repositories for biomarker discovery.

Required Skills:

• Education level: Bachelor’s, Master’s, or PhD
• Background in Biotechnology/Bioinformatics
• Working understanding of ML concepts and the respective underlying mathematical know-how
• Good to have -  Experience with in silico techniques in drug discovery
• Understanding of structural biology techniques, working with protein sequences and protein structures
• Working knowledge of using NLP with biological sequences
• Experience with genome datasets and genomic analysis tools
• Experience in developing models with deep-learning in multiple ML areas like Computer Vision, NLP, Statistics, etc.
• Knowledge of cloud environments like GCP/AWS and ML frameworks like TensorFlow/PyTorch, with good experience in large-scale distributed training.
• Excellent coding skills (Python advanced) and flexible mindset, with the ability to quickly switch between & adapt to newer concepts

Good to have:

• Prior R&D experience, and/or publications at top-tier ML conferences will be an advantage
• Strong classical education in Mathematics/Physics/Mechanics/CS/Engineering concepts will also be an advantage
• Hands on experience with In Vitro techniques and analysis of data from In Vitro experiments

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world

• Be a leader of an energetic team of highly dynamic and talented individuals

• Exposure to working with fortune 500 companies and innovative market disruptors

• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!