Campus Dropbox | 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

• Hands-on 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