Postdoctoral Fellow – Integrative Genomics & Disease Biology

Amgen • South San Francisco, CA

9d • $85,238 - $115,322

About The Position

This role 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. This is a four-year fellowship within the Amgen Research & Development Postdoctoral Program, designed to provide advanced scientific training and career development opportunities for outstanding early-career researchers.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Mentorship from scientific leaders across multiple disciplines.
• Opportunity to publish findings and present at leading scientific conferences.
• Develop skills necessary for successful careers in academia, biotechnology, or the pharmaceutical industry.
• Access to cutting-edge technologies, unique scientific resources, and a network of researchers.
• Collaborative scientific community committed to advancing human health through breakthrough discoveries and innovative medicines.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree