Senior Computational Biologist (ML)

TL;DR

Senior Computational Biologist (ML): Developing advanced computational methods and predictive models to analyze complex multi-modal datasets in the healthcare space with an accent on data integration and interpretable modeling. Focus on designing end-to-end pipelines, integrating heterogeneous data sources, and translating technical findings into practical healthcare insights.

Location: USA, WA, Seattle

Salary: $159,200 - $215,300 annually

Company

hirify.global's Special Projects team focuses on solving the world's most pressing challenges in the healthcare space by leveraging massive scale and technological expertise.

What you will do

• 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 in large-scale datasets.
• Collaborate with machine learning scientists and domain experts to ensure technical rigor and practical impact.
• Establish best practices for data integration, quality assessment, and validation.

Requirements

• PhD in Computational Biology, Systems Biology, or a related quantitative field.
• 5+ years of experience applying statistical models for large-scale applications and building automated analytical systems.
• Proficiency in Python, R, or other scripting languages.
• Practical experience applying ML to solve complex, real-world problems.
• Strong background in domain-specific knowledge graphs and integrating heterogeneous data types.
• Must be based in or able to work in Seattle, WA.

Nice to have

• Experience working with longitudinal or time-series data at scale.
• Familiarity with industry data standards and interoperability frameworks such as HL7, FHIR, or OMOP.
• Experience with causal inference methods.
• Publication record in applied computational science or related fields.

Culture & Benefits

• Comprehensive compensation package including sign-on payments and Restricted Stock Units (RSUs).
• Full health insurance coverage (medical, dental, vision, and prescription).
• 401(k) matching and paid time off.
• Support for mental health, EAP, and adoption/surrogacy reimbursement.
• Entrepreneurial, open, and collaborative work environment with high autonomy.