Senior Expert Data Scientist, Applied AI, LMW Drug Discovery

Novartis

Hybrid

Quick summary

Work type
Hybrid
Location
Cambridge, MA
Salary
$138,600–$257,400 / yr
Posted
2 days ago
Closes
Jul 31, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $198k
$99k most similar roles pay here $274k

This role pays more than 72% of similar roles. Most pay $126,800–$200,050 — the shaded band above. At the midpoint, this role pays about $198k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Novartis

Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals

Novartis currently has 16 open roles on FindRole.

Listed pay typically runs $160,300–$297,700 across 16 roles with salary data.

Most-posted roles

View all roles at Novartis

At a glance

TL;DR · Senior Expert Data Scientist, Applied AI, LMW Drug Discovery

As a Senior Expert Data Science in the AI for Research team, you will lead cutting-edge initiatives in low molecular weight drug discovery by developing and deploying advanced machine learning models. Your day-to-day responsibilities include designing generative chemistry algorithms, evaluating state-of-the-art AI methods, and integrating these solutions into research workflows to accelerate drug development. You will collaborate with cross-functional teams to ensure the robustness and scalability of your models, translating complex data insights into actionable strategies for scientific decision-making. Essential skills include deep expertise in Python, deep learning frameworks, and molecular modeling techniques, along with a proven track record in applying AI to drug discovery workflows. This role demands a passion for biomedical science and therapeutic innovation within a large-scale research environment focused on delivering breakthroughs faster for patients worldwide.

What you'll do

  • Lead the development of advanced machine learning models for molecular design and optimization.
  • Evaluate and benchmark AI methods to enhance drug discovery applications.
  • Drive innovation by implementing novel methodologies with measurable scientific impact.
  • Ensure robustness and scalability of AI models through rigorous validation practices.
  • Translate model outputs into actionable insights for experimental decision-making.

What we're looking for

  • At least 4 years of experience developing and deploying machine learning models for drug discovery.
  • Strong programming skills in Python and deep learning frameworks with version control system proficiency.
  • Expertise in generative chemistry, structure-based drug design, and molecular modeling techniques.
  • Experience applying AI to molecular design, optimization, and drug discovery workflows.
  • Proven ability to collaborate across scientific domains and operate effectively in complex research organizations.

More like this

Similar roles

Senior Scientist, Machine Learning, Biologics Design

Gilead Sciences

Remote (Foster City, CA) 20 days ago $169,320$219,120
Python PyTorch JAX NumPy pandas deep learning geometric deep learning protein structure Bayesian optimization active learning ProteinMPNN structure-based modeling Amber OpenMM Rosetta CHARMM CI/CD containerization workflow orchestration
Remote

Senior Data Scientist, AI, Healthcare & Lifesciences

IBM

Remote 8 days ago
Python TensorFlow PyTorch scikit-learn R AWS Azure GCP EHR genomic clinical trial data statistics data preprocessing feature engineering model validation CI/CD regulatory compliance reproducibility Prometheus Grafana
Remote

Senior Data Scientist, AI, Healthcare & Lifesciences

IBM

Remote 8 days ago
Python R TensorFlow PyTorch scikit-learn AWS Azure GCP data preprocessing feature engineering model validation CI/CD EHR genomic data clinical trial data statistics experimental design Prometheus Grafana regulatory compliance
Remote

Director, Group Head, AI Systems & Scale

Novartis

Cambridge, MA 5 days ago $194,600$361,400
Python MachineLearning DeepLearning Agile Kubernetes Terraform AWS Docker CI/CD Prometheus Grafana Git PostgreSQL MLOps LLMDeployment DriftDetection HighPerformanceComputing VersionControlSystems
Hybrid

Data Science, Cheminformatics & AI, Lab-in-the-Loop Hit Finding

Novartis

San Diego, CA 6 days ago $138,600$257,400
Python Linux SQL Docker Kubernetes Terraform CI/CD Prometheus Grafana AWS Azure GoogleCloud PostgreSQL MongoDB Redis Git Jenkins Ansible Pandas R Scikit-learn TensorFlow PyTorch DeepLearning MachineLearning AI DataVisualization Cheminformatics AgenticWorkflows