Sr Expert Data Science & AI (Low Molecular Weight Drug Discovery)

Summary

Job Title: Senior Expert Data Science AI (Low Molecular Weight Drug Discovery)
#LI-Hybrid

Location: Hyderabad, India

Relocation Support: Yes

Step into a role where cutting-edge AI meets life-changing science drive breakthroughs in drug discovery by shaping how intelligent systems design the next generation of therapeutics. As a Senior Expert in Data Science AI, you will lead the development and application of advanced AI methodologies to accelerate low molecular weight drug discovery, collaborating with world-class scientists to transform complex biomedical challenges into innovative, data-driven solutions that ultimately improve patient outcomes.

About the Role

Key Responsibilities

• Lead technical strategy for artificial intelligence in low molecular weight drug discovery programs.
• Evaluate emerging model landscapes and identify opportunities for methodological innovation with measurable scientific impact.
• Design, build, and benchmark algorithms, models, and workflows for hit generation and lead optimization.
• Translate model performance into decision-ready metrics that improve prioritization, assays, and experimental efficiency.
• Partner with engineering and product teams to deliver scalable artificial intelligence solutions into research workflows.
• Collaborate with scientists across medicinal chemistry, structural biology, and disease biology to accelerate design-test-learn cycles.
• Advance automation by developing agentic workflows for computer-aided drug design pipelines.
• Guide model robustness and performance with strong validation and close alignment to experimental follow-up.
• Drive high-value collaborations across Biomedical Research and strengthen artificial intelligence adoption across research teams.
• Communicate progress, insights, and portfolio impact to leadership to position artificial intelligence as a discovery accelerator.

Essential Requirements

• 4+ years of experience in machine learning innovation, development, deployment, and model lifecycle management.
• Proven experience applying machine learning to drug discovery, including generative models and molecular design.
• Strong proficiency in Python and deep learning frameworks for model development and experimentation.
• Solid understanding of version control systems such as Git for collaborative software development.
• Demonstrated expertise in structure-based drug design, including docking, scoring, and pose evaluation.
• Experience integrating artificial intelligence models with experimental workflows in lab-in-the-loop environments.
• Ability to design robust, validated models with clear connections to downstream scientific decision-making.
• Strong collaboration, problem-solving, and communication skills in complex, matrixed environments.

Desirable Requirements

• Experience working in large global pharmaceutical or biomedical research organizations with complex data ecosystems.
• Awareness of emerging artificial intelligence methodologies such as foundation models, explainability, and geometric deep learning.

Commitment to Diversity and Inclusion:

Accessibility and accommodation

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together https: / / www.novartis.com / about / strategy / people-and-culture

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