Scientist – Generative AI/ML (US-Remote)

Key Skills

Aartificial intelligence, C++, Deep Learning, Java Programming, Machine learning techniques, Molecular biology, Python Programming, R Programming, Statistical modeling

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.

Scientist – Generative AI/ML

What you will do

Let’s do this. Let’s change the world. We are actively seeking a highly qualified and motivated Scientist with a strong background in Generative AI/ML. The scientist will join the Bioinformatics Technology team within Amgen’s Center for Research Acceleration by Digital Innovation (CRADI). CRADI is a multi-disciplinary effort embedded within our drug discovery engine that continually uses advancement in digital technologies for disease modeling and digital modality engineering to accelerate our pipeline from target inception through drug development. Bioinformatics Technologies plays a pivotal role within CRADI’s Computational Biology and Bioinformatics function, establishing an innovation engine for deploying and exploiting emerging digital technologies in the field of computational biology.

RNA therapeutics comprise a rapidly expanding class of modalities that will fast-track solutions to the clinic. In this vital role you will lead the development and implementation of AI/ML models and optimization paradigms for the design of best-in-class RNA therapeutics. This position will involve close collaborative relationships with scientists within RNA therapeutic research, safety sciences, and therapeutic areas as well as data scientists and engineering partners across Amgen R&D. An ability to communicate clearly and collaborate effectively with colleagues from different fields will be essential.

The successful candidate will possess strong analytical proficiency, have a high degree of technical competency in computational sciences with a deep theoretical understanding of machine learning paired with excellent understanding of RNA biology proven by a strong track record of innovative and collaborative research published through peer-reviewed publications.

RESPONSIBILITIES:

• Engage in collaborative efforts with stakeholders and subject matter experts to formulate technical solutions accelerating the development and increasing clinical efficacy of RNA therapeutic modalities

• Find opportunities, set strategy, and deliver appropriate quantitative methods, such as discriminative and generative AI/ML models, to push the state of the art for optimizing RNA therapeutic modality design, formulation, and delivery

• Consult on data generation and translate experimental findings into computational model design and refinement

• Serve as subject matter expert on the intersection of computer science and RNA biology

• Clearly document methods and analyses to allow reproducible research

• Collaborate with engineers and data scientists to develop innovative bioinformatics tools that facilitate data access, model utilization, and output interpretation

• Communicate project results and data-driven recommendations to stakeholders and cross-functional partners

• Monitor, review, and critically interpret published computational research spanning RNA therapeutics and emerging oligonucleotide modalities

• Proactively scope and deploy novel computational methods and digital technologies

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with these qualifications.

Basic Qualifications:

Doctorate degree

Or

Master’s degree and 4 years of computational biology, bioinformatics, biomedical data science or related field

Or

Bachelor’s degree and 6 years of computational biology, bioinformatics, biomedical data science or related field

Preferred Qualifications:

• PhD in computer science, data science, computational biology or bioinformatics including industry experience

• Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, and other relevant quantitative methods

• Knowledge in RNA biology, particularly RNA structure and function

• Fluency in scientific programming and tool development with R, Python, or equivalents. Proficiency in C++ or Java is a plus.

• Proven record of innovative thinking to propose and champion the development of novel algorithms and AI/ML models that generated interpretable and actionable results for practical applications

• Experience with software development good practices, including code versioning, documentation, and testing, amongst others

• Experience with cloud computing

• Creative, open-minded, and passionate about scientific research

• Demonstrated ability to thrive in a team environment

• Strong interpersonal, collaborative, organizational, and presentation skills

• Understanding of RNA therapeutic modality discovery and development is a plus

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

The annual base salary range for this opportunity in the U.S. is $135,563 – $150,625.

In addition to the base salary, Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:

• 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 and bi-annual company-wide shutdowns

• Flexible work models, including remote work arrangements, where possible.