Amgen is seeking a Data Sciences Principal Scientist to provide scientific leadership and contribute to hazard identification and risk assessment of different therapeutics and therapeutic modalities to accelerate the development of novel treatment options for patients
Requirements
- 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
- 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
- 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
- Ability to analyze and interpret large scale datasets with proficiency in programming tools such as Python, R, shell scripting, SQL or other languages
- Proficiency in data visualization and dashboarding frameworks (e.g., Spotfire, Tableau, R, R-Shiny)
- Ability to design workflows and data analysis pipelines for automated and standardized analysis of large data sets
- Demonstrated experience with advanced AI/ML techniques and statistical modeling (e.g., multivariate linear regression, cluster algorithms, logistic regression, Neural Networks, etc.)
Responsibilities
- 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
Other
- Excellent interpersonal skills with the ability to build strong collaborations across matrixed teams
- Excellent communications skills with an ability to clearly articulate complex scientific concepts to both technical and non-technical partners
- A strong teammate and scientific leader with a passion for science and drug discovery
- Positive attitude and high personal and ethical standards
- Fundamental understanding of biopharmaceutical research, drug development pipelines, toxicology data generation, and a working understanding of innovative science and technology being used to enhance investigation of drug development safety issues
