Sr Machine Learning Scientist

About the role

Join Amgens Mission of Serving Patients. Within Amgens Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal of advancing and applying computational protein design to revolutionize how biologic therapeutics are made. In this vital role, you will 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. Providing technical leadership and partnering across broad discovery areas of research, you will:

Responsibilities

• 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

• Basic Qualifications:
• Doctorate degree
• OR Masters degree and 2 years of machine learning experience
• OR Bachelors degree and 4 years of machine learning experience
• OR Associates degree and 8 years of machine learning experience
• Preferred Qualifications:
• PhD 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 applying machine learning to computational biology
• Strong communication and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment

Qualifications

• Required Education: Doctorate degree OR Masters degree and 2 years of machine learning experience OR Bachelors degree and 4 years of machine learning experience OR Associates degree and 8 years of machine learning experience

Skills

• Basic Qualifications: Doctorate degree OR Masters degree and 2 years of machine learning experience OR Bachelors degree and 4 years of machine learning experience OR Associates degree and 8 years of machine learning experience
• Preferred Qualifications: PhD 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 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, and 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.

Pay

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

Schedule

Full time