Associate Director, Ai/ml (biologics)

Takeda

Cambridge, MA, US
Base: $154,400.00 - $242,550.00; bonus/equity: not...
Ai/ml for biologics design
Machine learning for protein design
Generative protein design
The AI/ML organization at Takeda is building a team to transform how medicines are discovered by applying AI and machine learning across the entire drug discovery process

Job Summary

  • The AI/ML organization at Takeda is building a team to transform how medicines are discovered by applying AI and machine learning across the entire drug discovery process.
  • This role will be part of a multidisciplinary team focused on integrating advanced computational methods with cutting-edge experimental strategies to drive breakthrough discoveries in large molecule therapeutics.
  • Beyond technical execution, this Associate Director is expected to operate with a high degree of strategic autonomy: shaping the team’s methodological roadmap, mentoring junior scientists, and serving as a primary AI/ML voice to senior cross-functional stakeholders.

Matching Summary

The AI/ML organization at Takeda is building a team to transform how medicines are discovered by applying AI and machine learning across the entire drug discovery process.

Salary

Base: $154,400.00 - $242,550.00; Bonus/Equity: Not specified; Benefits: Medical, dental, vision insurance, 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, tuition reimbursement, paid volunteer time off, company holidays, well-being benefits, sick time, paid vacation

Skills & Requirements

Must-have

  • AI/ML for biologics design
  • Machine learning for protein design
  • Generative protein design
  • Large molecule drug discovery
  • Python programming
  • Cloud computing capabilities

Nice-to-have

  • Foundational models
  • Autonomous systems
  • Multi-objective optimization
  • Design-Predict-Make-Confirm cycles
  • NLP advancements

Key Requirements

  • PhD with 6+ years relevant experience or MS with 12+ years or BS with 14+ years
  • Proven track record in developing ML models for chemical and biological data
  • Demonstrated experience in modeling antibody/antigen sequence, structure and interaction

Work Rights

Not specified

Tailored Resume

Cover Letter