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