Senior Computational Biologist, Special Projects

Amazon • Seattle, WA

1d • Onsite

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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 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.
• Develop computational analyses to understand how various factors influence key outcomes.
• Collaborate with Applied Scientists and Statisticians on predictive models.
• Translate findings into practical insights through regular interaction with domain experts.
• Define approaches and establish new methodologies with significant autonomy.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

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