Senior AI/Cheminformatics Modeling Specialist

Merck & Company Inc; Cambridge (MA); On-site; USD 160,000 - 251,000; Full time

Benefits offered by this job

Benefits package

Competitive compensation

Job summary

Merck & Company Inc. is seeking a Senior Specialist in Modeling & Informatics to advance AI/ML driven cheminformatics for early target discovery in small molecules and biotherapeutics.

The role emphasizes cross-functional collaboration with experimental and computational teams to accelerate pipeline projects. The candidate will develop innovative computational methods, analyze complex chemical data, and communicate results through publications and presentations while supporting ongoing research

Qualifications

• Ph.D. in cheminformatics, bioinformatics, computational biology or related fields.
• Experience applying cheminformatics or AI/ML approaches to drug discovery.

Responsibilities

• Implement and apply AI/ML and cheminformatics workflows to early target discovery data analysis.
• Analyze and interpret complex chemical biology data and communicate findings with visualization tools.
• Deliver optimized informatics algorithms to expedite drug discovery in early target spaces.
• Leverage ML and cheminformatics to improve hit identification across screening paradigms.
• Collaborate with experimental and computational colleagues to advance projects.

Skills

Biological Data Analysis

Algorithms

Machine Learning (ML)

Python

R

Cheminformatics

Data Visualization

Statistical Analysis

Education

Ph.D. in cheminformatics or related field

Tools

OEChem

RDKit

DeepChem

TensorFlow

Keras

PyTorch

Job description

Merck & Company Inc. is seeking a Senior Specialist in Modeling & Informatics to advance AI/ML driven cheminformatics for early target discovery in small molecules and biotherapeutics.

The role emphasizes cross-functional collaboration with experimental and computational teams to accelerate pipeline projects. The candidate will develop innovative computational methods, analyze complex chemical data, and communicate results through publications and presentations while supporting ongoing research