Senior Expert Data Science (Applied AI, LMW Drug Discovery)

Novartis • Cambridge, MA

5d • $138,600 - $257,400 • Hybrid

About The Position

Drive the future of drug discovery through cutting-edge Applied AI. In this role, you will shape how advanced machine learning and generative approaches transform low molecular weight drug discovery, accelerating the journey from data to breakthrough therapies. As a senior expert within the AI for Research (AI4R) team, you will lead high-impact initiatives, influence scientific strategy, and translate complex AI innovations into real-world outcomes—helping deliver better medicines, faster, for patients worldwide.

Requirements

• Deep curiosity and passion for biomedical science and therapeutic discovery
• At least 4 years of experience developing and deploying machine learning models and data solutions
• Strong programming expertise in Python and deep learning frameworks, with experience using version control systems
• Demonstrated expertise in generative chemistry, structure-based drug design, and molecular modeling techniques
• Experience applying artificial intelligence to molecular design, optimization, and drug discovery workflows
• Proven ability to collaborate across scientific domains and operate effectively within complex research organizations

Nice To Haves

• Artificial Intelligence (AI)
• Biostatistics
• Change Management
• Curious Mindset
• Data Governance
• Data Literacy
• Data Quality
• Data Science
• Data Visualization
• Deep Learning
• Graph Algorithms
• Learning Agility
• Logistic Regression Model (Inactive)
• Machine Learning (ML)
• Machine Learning Algorithms
• Nlp (Neuro-Linguistic Programming) And Genai (Inactive)
• Pandas (Python) (Inactive)
• Python (Programming Language)
• R Programming
• Stakeholder Engagement
• Statistical Analysis
• Structured Query Language (SQL)
• Time Series Analysis

Responsibilities

• Provide technical leadership for Applied AI initiatives in low molecular weight drug discovery
• Design and develop advanced machine learning models for molecular design and optimization
• Evaluate and benchmark state-of-the-art AI methods for drug discovery applications
• Drive innovation by identifying and implementing novel methodologies with measurable scientific impact
• Collaborate with cross-functional teams to integrate AI solutions into research workflows
• Ensure robustness, performance, and scalability of AI models through rigorous validation practices
• Translate model outputs into actionable insights for experimental and scientific decision-making
• Lead development of automated, agent-based workflows for computer-aided drug design pipelines
• Partner with engineering and product teams to successfully deploy AI solutions into production
• Communicate progress, insights, and impact to senior stakeholders and scientific leadership

Benefits

• health coverage
• life coverage
• disability coverage
• a 401(k) plan with company contribution and matching
• a range of additional benefits
• a generous time-off package, including vacation, personal days, holidays, and other leave options

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed