Senior ML Scientist, Molecular AI — Generative Drug Design

Novo Nordisk; Waltham (MA); Hybrid; USD 122,000 - 223,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Life insurance

401(k) savings plan

Tuition reimbursement

Job summary

NOVO NORDISK in the United States (Waltham, MA) is seeking a Lead ML Scientist for Molecular AI (MolAI) within the AI and Digital Innovation area. You will develop generative AI methods for computational drug design, translate insights into experiments, and collaborate across global teams to advance novel medicines.

The role requires advanced degrees and substantial experience in AI/ML, with exposure to healthcare or regulated environments.

Qualifications

• Experience in modeling and AI/ML algorithm development and validation.
• Knowledge of deep learning and reinforcement learning concepts.
• Exposure to healthcare or regulated fields is advantageous.
• Experience with data management and science tools like Jupyter, Matlab, R Studio.

Responsibilities

• Lead research and development of generative AI methods for molecular design.
• Translate computational insights into experimental strategies and train models.
• Publish research in top venues and build external collaborations.
• Mentor junior ML scientists and engineers, promoting reproducibility.

Skills

Deep learning

Bayesian reasoning

Recommendation systems

Active/reinforcement learning

ML software systems

Mobile ML

Healthcare industry

Regulated field

Leadership in tech

Data management tools

Education

Bachelor's degree (required)

Master’s or PhD preferred

Tools

Jupyter Notebook

Matlab

R Studio

Job description

NOVO NORDISK in the United States (Waltham, MA) is seeking a Lead ML Scientist for Molecular AI (MolAI) within the AI and Digital Innovation area. You will develop generative AI methods for computational drug design, translate insights into experiments, and collaborate across global teams to advance novel medicines.

The role requires advanced degrees and substantial experience in AI/ML, with exposure to healthcare or regulated environments.