Join Amgen's Mission of Serving Patients and help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. We are seeking a highly qualified and motivated Senior Scientist with a strong background in computational biology and machine learning to join the Bioinformatics Technologies team within Amgen's Automation, Research Data Systems, Informatics, and AI (ARIA) organization.
Requirements
- PhD in computational biology, bioinformatics, statistics, computer science, data science, or a related quantitative discipline
- Master's degree and 3 years of directly related experience
- Bachelor's degree and 5 years of directly related experience
- Strong background in computational biology methods, including statistical modeling and AI/ML, with demonstrated ability to model biological systems.
- Expertise in developing machine learning approaches for biological data, including predictive modeling and, ideally, experience with generative or representation learning methods.
- Experience working with multimodal biological datasets, including perturbation screens, transcriptomics, single-cell and spatial omics, proteomics, and genetic or epigenomic data, with the ability to integrate these into unified computational frameworks.
- Demonstrated ability to develop computational abstractions and canonical representations that enable consistent, reusable analysis across datasets, modalities, or disease contexts.
- Experience building predictive or generative models that infer molecular and cellular responses, particularly in contexts where experimental data are limited or incomplete.
- Proven ability to translate computational models into scalable and reusable tools, frameworks, or systems that are adopted by scientists and support real-world discovery workflows.
- Strong programming skills in Python, R, Linux/Unix, or similar languages, with experience developing modular, maintainable, and well-structured computational codebases.
- Familiarity with workflow management systems (e.g., Nextflow) and AWS cloud infrastructure a plus.
- Experience working in cross-functional environments, with excellent communication and collaboration skills, and a demonstrated ability to translate complex computational results into biologically meaningful insights.
- Track record of computational innovation demonstrated through impactful publications, patents, or contributions to computational methods, modeling frameworks, or scientific software.
Benefits
- Comprehensive employee benefits package
- Discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models
