Amazon.com Services LLC

Research Science, no business category

SeniorComputationalBiologist,SpecialProjects

$159–215k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Computational Biologist, Special Projects at Amazon.com Services LLC. Skills: Computational Biology, Data Science, Machine Learning. Develop computational methods to analyze data. Build predictive models”

What You'll Achieve.

Bring products to market

Industry & Context.

Research Science, no business category
Problems you'll solve

Solve complex problems; Identify meaningful signals

What They're Looking For.

Must Have

5+ years applying statistical models, Knowledge of Python or R, Experience applying ML to solve problems, PhD in Computational Biology or related quantitative field, Experience analyzing complex datasets, Background in knowledge graphs and structured data

Nice to Have

Experience with longitudinal or time-series data, Knowledge of domain-specific modeling, Familiarity with industry data standards, Experience with causal inference methods, Publication record in applied computational science, Understanding of data privacy requirements

What You'll Do.

Develop computational methods to analyze data

Build predictive models

Uncover actionable insights

Design computational pipelines

Process multi-modal data

Integrate diverse information sources

Generate actionable insights

Build interpretable models

Reveal underlying mechanisms

Collaborate with machine learning scientists

Collaborate with domain experts

Work with proprietary databases

Work with scientific literature

Identify meaningful signals

Establish best practices for data integration

Establish best practices for quality assessment

Establish best practices for validation

Communicate complex concepts

Develop computational analyses

Understand factor influence on outcomes

Collaborate with Applied Scientists

Collaborate with Statisticians

Translate findings into insights

Establish new methodologies

How You'll Work.

Team & Collaboration

Machine learning scientists; Domain experts; Applied Scientists; Statisticians

Communication Scope

Communicate complex concepts

Full Job Description

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 We're seeking an experienced Computational Scientist to develop innovative solutions for complex data challenges. In this role, you will design end-to-end computational pipelines to process and analyze multi-modal data. You'll develop algorithms that integrate diverse information sources to generate predictions and actionable insights. Building interpretable models that reveal underlying mechanisms and patterns will be central to your work. You'll collaborate with machine learning scientists and domain experts to ensure your approaches are both technically rigorous and practically impactful. You'll work with large-scale proprietary databases and scientific literature to identify meaningful signals. Establishing best practices for data integration, quality assessment, and validation will be important aspects of your role. You'll need deep expertise in computational methods and the ability to 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

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