| Job #: | 42783 |
|---|---|
| Title: | Machine Learning, biophysics |
| Job Location: | , New York - United States |
| Employment Type: | |
| Salary: | $150,000.00 - $300,000.00 - US Dollars - Yearly |
| Employer Will Recruit From: | Nationwide |
| Relocation Paid?: | Yes |
This company is willing to sponsor and provide extremely good compensation and a relocation package.
Machine Learning Engineer, biophysics - Job Order 2997
· H-1B sponsorship available
· Location: New York City (working remotely until January 2022)
· Above-market compensation; generous benefits package and relocation assistance
Exceptional machine learning engineers with extraordinary records of academic and professional achievements sought to join our interdisciplinary team in New York City.
This is a unique opportunity to collaborate with our world-class team of chemists, biologists, and computer scientists to expand the group’s efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics. Ideal candidates will have demonstrated expertise in developing deep learning techniques, as well as strong Python programming skills. Relevant areas of experience might include molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than outstanding intellectual ability and a track record of achievement and innovation in the field of machine learning.
We take great pride in the caliber of our team and are prepared to reward exceptionally well-qualified individuals with above-market compensation. This full-time role also offers full benefits, generous relocation assistance, and a collegial working environment.
This companyis involved with the development of super computers for the express purpose of molecular modeling calculationt. They are well known in the industry and pay well above the industry average in compensation, have a generous bonus and relocation package.
o 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)
o Strong Python programming ability (additional coding experience is a plus)
Education:
University - Master's Degree
