Data Sciences Principal Scientist - Translational Safety and Risk Sciences

Career Category

Job Description

es of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Sciences Principal Scientist - Translational Safety and Risk Sciences

What you will do

Let’s do this. Let’s change the world. Amgen’s Translational Safety and Risk Sciences (TSRS) department is seeking a skilled, innovative Data Scientist at the Principal Scientist level to provide scientific leadership and play an active role in the process of drug development from late-stage discovery through marketed products. Working in a collaborative team environment, in this vital role you will contribute to hazard identification and risk assessment of different therapeutics and therapeutic modalities by employing AI/ML and computational methods to analyze and integrate multi-modal omics, diverse nonclinical, and clinical datasets to identify and evaluate safety signals and translational insights in order to accelerate the development of novel treatment options for patients. Amgen scientists make significant contributions to multiple teams, work in multiple therapeutic areas, and mentor and motivate other staff members.

Key responsibilities for this role include:

• Identify and evaluate putative safety signals, mechanistic liabilities, translational risk patterns/phenotypes and pathway mechanisms by applying computational biology approaches that leverage ML/AI methods, data integration, multimodal omics data, and biological knowledge across multiple therapeutic areas.
• Collaboratively develop automated data aggregation, processing, visualization, and interpretation pipelines.
• Comfortably navigate a highly matrixed environment and collaborate internally with colleagues within Amgen such as TSRS, the Center for Research Acceleration through Digital Innovation (CRADI), R&D AI Strategy & Execution (RAISE), Digital Technology and Innovation (DTI), and subject matter expert teams to align AI/ML initiatives with overall strategic project goals of the TSRS organization and drive impactful decision-making.
• Champion innovation by tapping into expertise in ML/AI, data science, and advanced modeling to propose new technical strategies that address the business challenges.
• Contribute to regulatory documentation by generating mechanistic off target insights into safety hazards/risks and predictive safety assessments
• Lead evaluations of novel computational methods, tools, and software for applicability in nonclinical safety.
• Provide expertise and mentorship in computational biology, data science methodologies, and ML/AI algorithms development to Amgen colleagues.
• Exemplify a self-starter mentality towards continuous learning and broadening impact. Continue to develop scientific expertise, credentials, and drug development expertise by keeping abreast of relevant literature and by expanding scientific/technical knowledge.

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 leader with these qualifications.

Basic Qualifications:

Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] in Computational Biology, Bioinformatics, Computer/Data Sciences, Life Sciences or a related field and 2 years of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development

Or

Master’s degree in Computational Biology, Bioinformatics, Computer/Data Sciences, Life Sciences or a related field and 5 years of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development

Or

Bachelor’s degree in Computational Biology, Bioinformatics, Computer/Data Sciences, Life Sciences or a related field and 7 years of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development

Preferred Qualifications:

• 5 years post-PhD or 10 years post-Master’s degree of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development
• Reputation as an emerging leader in the field with a proven track record of drug discovery project leadership in a biotechnology or pharmaceutical environment
• Ability to analyze and interpret large scale datasets with profic