Machine Learning Scientist

Posted 1ds ago

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Job Description

Machine Learning Scientist developing and applying computational protein design solutions for Amgen's R&D. Collaborating with scientists to implement machine learning in therapeutic biomolecules.

Responsibilities:

  • Work with a cross functional team of scientists and engineers building foundational models that are used, tested, and trained on real world applications of generative design to the development of therapeutic biomolecules.
  • Develop and implement groundbreaking machine learning and protein science solutions.
  • Collaborate with computational and experimental scientists to establish these tools as a foundation of the discovery pipeline.
  • Work towards individual ownership and a leadership role in determining model architectures and research program needs.
  • Engage with open source and academic collaborations in the machine learning field.

Requirements:

  • Doctorate degree OR Master’s degree and 2 years of machine learning experience OR Bachelor’s degree and 4 years of machine learning experience OR Associate’s degree and 8 years of machine learning experience
  • PhD in in Computational Sciences, Computational Biology, Applied Math, Statistics or related quantitative field.
  • Strong track record of research accomplishments including three or more scientific publications or conference presentations in machine learning
  • Experience specifically with model training and diffusion model architecture, demonstrated by scientific publication or conference presentations.
  • Experience with UNIX/Linux, Python, PyTorch, Git, and cloud computing platforms
  • Experience working with biological data, and in applying machine learning to computational biology
  • Strong communication and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment.

Benefits:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible.