Lawrence Harvey is currently partnered with a rapidly growing startup based in New York City, focused on full-stack research and development of Computational Biochemistry. Together we are looking for a Senior Deep Learning Engineer who is established in industry and who has shown innovation through a deep previous publication record.

This position would sit at the intersection of algorithm design and development, prototyping and then working with software engineers to deploy and implement the models. To be more specific you would be involved in visualizing 3D structural information.

In this role, you will also have the chance to work with a wide array of scientists in a flat reporting structure. Everything comes from internal research – projects are from inception.

Ultimately, the most important thing is having a breadth of knowledge and the raw ability to drive projects, instead of being more of a support person. You will come in and likely be able to mentor more junior members of your team, but you will not have any direct reports.

The ideal candidate will have a strong background including the following:

• Experience coding with Python.
• Experienced with Deep learning frameworks such as, TensorFlow, Keras, and PyTorch.
• PHD is required.
• Medical field experience is preferred.
• Exposure to Molecular Dynamics Simulation is a bonus.

This position is initially Remote, however there will be an expectation to move to a hybrid schedule which requires relocation to the New York City Metropolitan area.

If this sounds like the kind of role you would like to hear more about, follow the link and apply!

Python | Software Engineering | Medical | Drug Discovery | Deep Learning | Molecular Dynamics Simulation