Senior Scientist - Computational Systems & Predictive Biology

Amgen
Amgen logo
Location
South San Francisco, CA
Job Type
Full-time
Posted
April 17, 2026
Salary Range
$146k - $198k USD

Job Description

Senior Scientist in Computational Systems & Predictive Biology within Amgen's Automation, Research Data Systems, Informatics, and AI (ARIA) organization. Onsite in South San Francisco or Cambridge, MA.

Develop scientific platforms and predictive systems focusing on creating computational models for target discovery and validation across therapeutic areas.

Key Responsibilities

  • Develop computational systems that standardize data, models, and analytical methods into reusable frameworks supporting discovery across therapeutic areas
  • Build canonical data representations across multimodal datasets including perturbation biology and surfaceome features
  • Design predictive systems to model molecular and cellular profiles for in silico biological interrogation
  • Translate computational models into user-facing tools and platforms
  • Accelerate experimental data analysis and guide experimental design for target discovery
  • Collaborate with computational and experimental scientists on system design alignment
  • Integrate emerging approaches like generative modeling into scalable systems

Basic Qualifications (one of)

  • PhD in computational biology, bioinformatics, statistics, computer science, or related quantitative discipline
  • Master's degree plus 3 years directly related experience
  • Bachelor's degree plus 5 years directly related experience

Preferred Qualifications

  • Strong computational biology methods expertise including statistical modeling and AI/ML
  • Experience with machine learning for biological data, predictive and generative modeling
  • Familiarity with multimodal datasets (transcriptomics, omics, proteomics, genetic/epigenomic data)
  • Ability to develop computational abstractions and canonical representations
  • Experience building predictive/generative models with limited experimental data
  • Track record translating models into adopted tools and frameworks
  • Programming proficiency in Python, R, Linux/Unix
  • Workflow management systems (Nextflow) and AWS cloud experience
  • Publications, patents, or contributions demonstrating computational innovation

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Job Information

Source: manual
Remote Type: onsite
Experience: Senior
Allowed Locations: Worldwide
Skills & Tags:
computational-biology ai-ml predictive-modeling generative-models python r nextflow aws drug-discovery transcriptomics

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