Senior Computational Biologist, Special Projects

About the role

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the limits. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. As a Senior Computational Scientist on our team, you will develop advanced computational methods to analyze complex, multi-modal datasets. You'll work with large-scale structured and unstructured data sources to build predictive models and uncover actionable insights. Our team rewards curiosity while maintaining a laser-focus on bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial environment.

Key job responsibilities

• Design end-to-end computational pipelines to process and analyze multi-modal data
• Develop algorithms that integrate diverse information sources to generate predictions and actionable insights
• Build interpretable models that reveal underlying mechanisms and patterns
• Collaborate with machine learning scientists and domain experts to ensure approaches are both technically rigorous and practically impactful
• Work with large-scale proprietary databases and scientific literature to identify meaningful signals
• Establish best practices for data integration, quality assessment, and validation
• Communicate complex concepts to diverse audiences while working in an early-stage, rapidly evolving environment

A day in the life

You'll work with proprietary datasets and structured knowledge bases, developing computational analyses to understand how various factors influence key outcomes. You'll collaborate with Applied Scientists and Statisticians on predictive models. Regular interaction with domain experts will help translate your findings into practical insights. Given the nature of our work, you'll have significant autonomy in defining approaches and establishing new methodologies.

About the team

We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.

Basic qualifications

• 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
• Knowledge of Python or R or other scripting language
• Experience in practical work applying ML to solve complex problems
• PhD in a Computational Biology, Systems Biology or a related quantitative field
• Experience analyzing complex, real-world datasets from diverse sources
• Strong background in domain-specific knowledge graphs and structured data resources
• Demonstrated expertise in integrating heterogeneous data types

Preferred qualifications

• Experience working with longitudinal or time-series data at scale
• Knowledge of domain-specific modeling and outcome prediction
• Familiarity with industry data standards and interoperability frameworks (HL7, FHIR, OMOP)
• Experience with causal inference methods
• Publication record in applied computational science or related fields
• Strong communication skills and ability to translate technical concepts for non-technical audiences
• Understanding of data privacy requirements and regulatory compliance

Pay

USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually