Senior Expert Data Science, Scientific Innovation

Novartis

Hybrid

Quick summary

Work type
Hybrid
Location
Cambridge, MA
Salary
$138,600–$257,400 / yr
Posted
5 days ago
Closes
Jul 31, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $164k
This role $198k
$98k most similar roles pay here $274k

This role pays more than 72% of similar roles. Most pay $127,703–$200,000 — the shaded band above. At the midpoint, this role pays about $198k versus about $164k 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 Science, Scientific Innovation

Role Posting Log in to save

As a Senior Expert Data Science in the AI for Research team at Novartis, you will leverage your expertise to translate complex biomedical questions into practical artificial intelligence and machine learning solutions that accelerate drug discovery. Your daily responsibilities include collaborating with scientists and domain experts to deliver impactful insights, ensuring robust model development and validation, and partnering with engineering teams to deploy scalable AI solutions. You will also act as a liaison between research stakeholders, identify high-impact problems, and design data-driven solutions while promoting the adoption of advanced methodologies across Biomedical Research teams. Essential skills include at least five years of experience in applying AI and machine learning to scientific or biomedical challenges, proficiency in Python, R, or SQL for data analysis, and strong stakeholder engagement abilities. This role addresses critical drug discovery needs on a large scale, fostering innovation that brings meaningful advancements closer to patients.

Skills

Python R SQL Machine Learning Deep Learning Data Science Artificial Intelligence NLP Pandas Time Series Analysis Logistic Regression Graph Algorithms CI/CD

What you'll do

  • Translate complex biomedical questions into scalable AI and ML solutions.
  • Ensure robust model development, validation, and performance across use cases.
  • Partner with engineering teams to deploy and scale AI solutions.
  • Act as liaison between AI for Research and Biomedical Research stakeholders.
  • Identify high-impact research problems and design data-driven solutions.

What we're looking for

  • Minimum 5 years of experience in applying AI and machine learning to scientific or biomedical problems.
  • Expertise in drug discovery domains including target identification, computational chemistry, or translational medicine.
  • Strong track record in developing, validating, and deploying ML models in research environments.
  • Ability to translate complex research questions into scalable data science solutions effectively.
  • Excellent stakeholder engagement and communication skills across cross-functional scientific teams.

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