Postdoctoral Fellow

What You Will Do

Let's do this. Let's change the world.

In this vital role, you will develop and apply innovative approaches to understand the biological mechanisms that contribute to human disease. Working within Amgen Research, you will leverage large-scale biological datasets, advanced computational methods, and emerging genomic technologies to generate insights that advance our understanding of disease biology and inform future therapeutic strategies. This position is designed for a highly motivated scientist interested in working at the interface of computational and experimental biology.

The successful candidate will integrate diverse molecular and biological datasets to investigate how genetic, cellular, and molecular variation influences biological processes and disease-relevant phenotypes. The fellow will have the opportunity to collaborate with experts across computational biology, genomics, molecular biology, data science, and therapeutic discovery while pursuing innovative research questions in a highly collaborative environment.

• Analyze and integrate large-scale biological datasets to identify novel biological mechanisms and therapeutic opportunities.
• Develop and apply computational, statistical, and systems biology approaches to investigate complex biological questions.
• Utilize genomic, transcriptomic, proteomic, single-cell, and other emerging data modalities to generate biological insights.
• Integrate multiple sources of molecular and phenotypic information to understand relationships between biological pathways and disease-relevant processes.
• Design and implement innovative analytical strategies to uncover mechanisms underlying cellular function and disease biology.
• Collaborate with multidisciplinary teams spanning computational biology, molecular biology, genetics, and therapeutic discovery.
• Present scientific findings at internal and external scientific meetings and publish results in peer-reviewed journals.
• Contribute to the development of new technologies, methodologies, and scientific frameworks that advance research across therapeutic areas.

What We Expect Of You

• Doctorate degree (PhD) completed prior to the start date from an accredited college or university in Computational Biology, Bioinformatics, Genomics, Human Genetics, Systems Biology, Data Science, Molecular Biology, Biomedical Sciences, Statistics, Computer Science, or a related scientific discipline.
• Strong record of scientific achievement as demonstrated through peer-reviewed publications and presentations.
• Experience working with large-scale biological datasets.
• Expertise in computational analysis of genomic, transcriptomic, proteomic, imaging, or other high-dimensional datasets.
• Familiarity with statistical modeling, machine learning, systems biology, or network-based approaches.
• Experience integrating multiple data types to generate biological insights.
• Proficiency in computational programming and data analysis using Python, R, or similar languages.
• Demonstrated ability to develop innovative approaches to address complex scientific questions.
• Strong written and verbal communication skills.
• Ability to work effectively in a collaborative, multidisciplinary research environment.
• Passion for scientific discovery and advancing the understanding of human biology and disease.

Basic Qualifications

• Doctorate degree (PhD) completed prior to the start date from an accredited college or university in Computational Biology, Bioinformatics, Genomics, Human Genetics, Systems Biology, Data Science, Molecular Biology, Biomedical Sciences, Statistics, Computer Science, or a related scientific discipline.

Preferred Qualifications

• Strong record of scientific achievement as demonstrated through peer-reviewed publications and presentations.
• Experience working with large-scale biological datasets.
• Expertise in computational analysis of genomic, transcriptomic, proteomic, imaging, or other high-dimensional datasets.
• Familiarity with statistical modeling, machine learning, systems biology, or network-based approaches.
• Experience integrating multiple data types to generate biological insights.
• Proficiency in computational programming and data analysis using Python, R, or similar languages.
• Demonstrated ability to develop innovative approaches to address complex scientific questions.