Sr. Scientist, AI/ML Biologics

Takeda Pharmaceutical
Location
Boston, MA
Job Type
Full-time
Posted
June 18, 2026
Views
2
Salary Range
$137k - $215k USD

Job Description

Takeda's AI/ML organization is building a team to transform how medicines are discovered using AI and ML across the entire drug discovery process. We are seeking an innovative AI/ML scientist with a passion for leveraging AI/ML in antibody discovery and design to join our Large Molecule AI/ML team. Req: R0179222.

This role will be an embedded member of multidisciplinary project teams, integrating advanced computational methods with cutting-edge experimental strategies to advance biologics programs from discovery through candidate nomination and toward clinical development.

Key Responsibilities

  • Develop and implement state-of-the-art AI/ML methodologies for antibody design and discovery
  • Build and deploy ML algorithms for multi-parameter optimization of biologics (antibodies, antigens, ADCs)
  • Build tools to incorporate data from Design-Predict-Make-Confirm cycles with automated experimental platforms
  • Develop predictive models for protein design and developability engineering using large-scale NGS and proprietary data
  • Manage and process large-scale biological datasets for model training and evaluation
  • Apply NLP, ML, and generative AI to enhance therapeutic discovery
  • Collaborate with biology, protein engineering, and data generation teams to drive programs toward IND

Qualifications

  • PhD in a scientific discipline with 2+ years relevant experience (or MS with 8+ years, or BS with 10+ years)
  • Proven track record developing ML models for chemical and biological data
  • Experience with AI/ML-enabled molecular design, structural biology, or protein engineering
  • Strong programming skills in Python; familiarity with deep learning frameworks

Base Salary: $137,000 – $215,270. Boston, MA.

Frequently Asked Questions

Where is the job located, and is it remote, hybrid, or on-site?
The job is located in Boston, MA. The provided text does not specify a remote, hybrid, or on-site work-mode policy.
What are the key responsibilities of this role?
You will develop AI/ML methodologies for antibody design, build ML algorithms for biologics optimization, create tools for automated experimental platforms, and develop predictive models for protein design. You will also manage large-scale biological datasets, apply generative AI to therapeutic discovery, and collaborate with biology and protein engineering teams.
What qualifications and experience are required?
You need a PhD with 2+ years of experience, an MS with 8+ years, or a BS with 10+ years. You must have a proven track record of developing ML models for chemical/biological data, experience with molecular design or protein engineering, strong Python skills, and familiarity with deep learning frameworks.
What is the salary range for this position?
The base salary range for this position is $137,000 to $215,270.

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Job Information

Source: manual
AI Relevance: 92/100 (Highly relevant)
Remote Type: hybrid
Allowed Locations: Worldwide

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