Senior Computational Biologist, Special Projects

Senior Computational Biologist, Special ProjectsJob ID: | Amazon.com Services LLCInnovators 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 ResponsibilitiesDesign 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.Day in the LifeYou will work with proprietary datasets and structured knowledge bases, developing analyses to understand how various factors influence key outcomes.



You will collaborate with Applied Scientists and Statisticians on predictive models, and interact regularly with domain experts to translate findings into practical insights. You will have significant autonomy in defining approaches and establishing new methodologies.About the TeamWe represent Amazon's ambitious vision to solve the world's most pressing challenges. We explore 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 Qualifications5+ years of applying statistical models for large-scale applications and building automated analytical systems.Knowledge of Python, R, or other scripting language.Experience in practical work applying ML to solve complex problems.PhD in 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 QualificationsExperience 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.LocationUSA, WA, SeattleBenefitsThe base salary range for this position is $159,200.00 - $215,300.00 USD annually, plus sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D; insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off,



and parental leave. Learn more about our benefits at is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation, visit If the country/region you're applying in isn't listed, contact your Recruiting Partner.#J-18808-Ljbffr