Machine Learning Engineer (BioTech)
Tech
USA | Full-time | Hybrid

We are looking for an experienced Machine Learning Engineer to join our client dynamic team of extraordinary contributors from a variety of disciplines, and from both academia and industry.
The company welcome inquiries from exceptionally capable candidates of all backgrounds and levels of experience, and offer a stimulating, intellectually rigorous work environment that is also supportive, flexible, and welcoming.


Key responsibilities and objectives
  • Successful hires will expand the group's ongoing efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics.

Requirements
  • Demonstrated experience in developing machine learning approaches for biophysics, biochemistry, structural biology, drug discovery, cheminformatics, quantum chemistry, etc. with a focus on deep learning techniques (deep neural networks, convolutional neural networks, recurrent neural networks, deep reinforcement learning, deep belief nets, Boltzmann machines, graphs, transfer learning, etc.)
  • We are open to considering candidates of all experience levels (provided there is ample evidence of deep learning expertise)
  • Strong Python programming ability (additional coding experience is a plus)
  • Relevant industries/areas: pharma/biotech, tech, academic labs, ML-driven startups doing drug discovery/protein research, etc.


Conditions
  • Very competitive base salary is determined based on multiple factors including the nature and extent of prior experience and educational background
  • Sign-on and year-end bonuses
  • Generous benefits package
  • Relocation and immigration assistance
  • Hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday
You're welcome!
Fill the form below and we contact you soon
You Resume