ML Scientist, Physics‑Aware Drug Design

Nosis Bio; California; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Excellent medical and dental coverage

Generous compensation package

Unlimited vacation policy

Option to work remotely

Job summary

Nosis Bio is seeking a mid-senior level machine learning scientist to enhance their physics-aware deep learning platform aimed at optimizing drug delivery. Candidates should possess a PhD in relevant fields and have a proven track record in deep learning architectures. The role involves collaboration with molecular biologists and biochemists, enhancing generative algorithms, and improving capabilities for designing effective therapeutics. Exceptional benefits include a generous compensation package and unlimited vacation, with the option to work remotely.

Qualifications

• Proven track record of inventing and implementing novel deep learning architectures.
• Fluency in at least one deep learning platform.
• Command of core scientific computing concepts including linear algebra and numerical optimization.

Responsibilities

• Expand and improve the physics-aware deep learning platform.
• Enhance generative algorithms for designing molecules.
• Develop novel approaches for modeling protein kinetics and dynamics.

Skills

Novel deep learning architectures

Pytorch

Tensorflow

JAX

Creative problem solving

Education

PhD in computer science, math, physics, or statistics

Job description

Nosis Bio is seeking a mid-senior level machine learning scientist to enhance their physics-aware deep learning platform aimed at optimizing drug delivery. Candidates should possess a PhD in relevant fields and have a proven track record in deep learning architectures. The role involves collaboration with molecular biologists and biochemists, enhancing generative algorithms, and improving capabilities for designing effective therapeutics. Exceptional benefits include a generous compensation package and unlimited vacation, with the option to work remotely.