Associate Director, AI/ML (Biologics)

Scorpion Therapeutics; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Takeda in Cambridge, MA is seeking an Associate Director, AI/ML in Large Molecule Drug Discovery focusing on biologics such as antibodies, bispecifics, ADCs, and fusion proteins.

You will lead development of AI/ML models, collaborate with biology and CMC teams, and shape discovery programs with cutting-edge computational methods.

Qualifications

• PhD required with 6+ years in computational biology, ML, or related fields.
• Strong background in ML modeling for biological data.
• Proficient in Python programming.
• Experience with cloud platforms and data management.

Responsibilities

• Develop and deploy advanced AI/ML models for biologics design and optimization.
• Integrate computational methods with experimental data.
• Serve as a strategic AI/ML partner across discovery programs.

Skills

Python

Machine Learning

Computational biology

Biologics design

Data management

Protein structure/sequence analysis

Education

PhD in a relevant field

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

Role

Associate Director, AI/ML in Large Molecule Drug Discovery at Takeda, focusing on biologics such as antibodies, bispecifics, ADCs, and fusion proteins.

Responsibilities

• develop and deploy advanced AI/ML models for biologics design, optimization, and developability engineering; integrate computational methods with experimental data; serve as a strategic AI/ML partner across discovery programs.

Requirements

• PhD with 6+ years or equivalent experience in computational biology, machine learning, or related fields.
• proven expertise in ML modeling for biological data, protein structure/sequence analysis, and programming (Python).
• experience with cloud platforms and data management.

Preferred

• experience with modern ML architectures ("e.g., GNNs, diffusion models"), de novo binder design, NGS data analysis, and molecular simulation.

High-value

• biologics modalities, antibody design, multi-objective optimization, integrated data cycles, AI/ML application in early drug discovery stages.

Location

Cambridge, MA, full-time, on-site.

Cross-functional collaboration

Working with biology, CMC, and program teams, focused on impactful AI/ML solutions in biologics discovery.