AI Specialist in Biomedical Research

Job Description Summary

The AI Specialist in Biomedical Research (BR) is a unique role at Novartis that intends to attract the best early career talent in AI to tackle human disease. As a leading pharmaceutical company Novartis is committed to meet the rising global demand for AI research and leadership in the Life Sciences.
This role is part of a new program that offers training opportunities for individuals leveraging a strong background in AI to the continuum of drug discovery and development. AI Specialists in Biomedical Research at Novartis will be part of a multi-disciplinary team working on cutting-edge projects to discover new lifesaving and life-changing medications helping people across the world thus reimagining medicine together.

Job Description

Be a part of our exciting early career program and apply your expertise in Artificial Intelligence to improve the lives of others! In this 1824-month program you will contribute to cutting-edge drug discovery by building and leveraging advanced AI models. Expand your professional network help shape how the next advanced medicines are discovered and thrive in our collaborative and dynamic environment.

AI Specialists execute projects under the guidance of a BR AI scientist for 18-24 months. This 18-24 month program will be focused on tackling specific Use Cases within Biomedical Research across our labs in Basel Switzerland with the goal of having the individual promoted to a higher level at the end of the program.

Design develop and evaluate novel deep neural network architectures to solve the scientific problem at hand.

Communicate and present results to both deep technical experts as well as non-technical subject matter experts.

Help deploy and drive engagement and adoption throughout the broader scientific and data science communities in BR.

Drive AI initiativesby working effectively with cross-functional teams including R&D IT and business units

Master or PhD degree in Statistics Physics Computer Science or Applied Mathematics

Experience executing and delivering AI driven projects

Excellent verbal and written communication skills to articulate complex AI concepts to non-technical stakeholders

Proficiency with algorithm development deep neural network creation and evaluation model deployment and evangelism

Identify problems where to apply AI solutions

Data stewardship: ability to work with big and complex datasets assemble and prepare data for AI use.

Deep Neural Networks: expertise in architecting and delivering deep models from end to end

Collaboration: eagerness to work with people from a variety of backgrounds from technical to scientific to executive management

Communication: willingness to learn how to tailor communications and presentation to the audience involved

Skills Desired

Artifical Intelligence (AI) Biostatistics Curious Mindset Data Governance Data Literacy Data Quality Data Science Data Visualization Graph Algorithms Learning Agility Logistic Regression Model Machine Learning (ML) Machine Learning Algorithms NLP (NeuroLinguistic Programming) and GenAI Pandas (Python) Python (Programming Language) R (Programming Language) Sql (Structured Query Language) Statistical Analysis Time Series Analysis