Job Description Summary

Job Description

Key Responsibilities:

• Driving high-caliber, interdisciplinary research grounded in computational biology, applying a deep understanding of early biology/target discovery, drug discovery, biomarker discovery and translational investigation as well as an understanding of the computational and data-management infrastructure required to support these programs.

• Interfacing with all stages of drug discovery, driving insights into target discovery, mechanism of action, biomarker discovery, back translation, and clinical trial support and analysis, contributing directly to hypothesis discovery as well as hypothesis testing across Oncology.

• Leader, thought-partner and collaborator to the global Oncology organization, while driving and implementing a forward-looking vision for Artificial Intelligence/Machine Learning (AI/ML), guiding external partnerships and integrating with the broader Novartis Research Informatics communities.

• Serve as a member of the Oncology Disease Area leadership team as well as the Oncology Disease Area Decision Board contributing to our overall scientific strategy and mission.

• Represent oncology on the Biomedical Research Computational Science Council (CSC - a group advancing the interests and impact of all data science capabilities across BR).

• Build, implement and manage a cutting-edge and impactful portfolio of AI/ML related programs with Oncology target and drug discovery project teams and drug discovery platforms.

• Position AI-aided drug discovery contributions to deliver and support progress of the portfolio, enable new kinds of therapeutic discoveries, shorten cycle times, and increase efficiency.

• Lead, develop and inspire a global team of Oncology DS Experts based in Basel, Cambridge and San Diego.

• Identify, recommend, and evaluate external opportunities for strategic AI collaborations and engage in and/or lead resulting cross-functional, global collaborations.

• Act as a mentor to Data Science and AI/ML experts.

• Lead or contribute to key cross-divisional strategic data and digital projects and initiatives

This position will be located in Basel, Switzerland and will require 10-15% travel as defined by the business (domestic and/ or international).

Essential Requirements:

• Minimum of a University Degree with a PhD or MD equivalent in computer science, data science, biology, chemistry or medicine.

• People management experience.

• Deep understanding in oncology of early biology/target discovery, drug discovery, biomarker discovery and translational investigation.

• Experience in establishing and completing an organizationally-aligned strategy for data management, scientific focus and priorities.

• Experience in applying advanced analytics in the pharma or healthcare sector, ideally in a research environment.

• Expertise in bringing advanced analytics insights and actions to a large mature organization.

• Consistent track record in achieving scientific business outcomes.

• Substantial experience leading internal and external high performing diverse teams in matrix organizations.

• Solid track record of high impact, peer reviewed publications.

• Fostering teamwork and collaboration throughout a large, distributed, multi-level, and multi-cultural organization, and building strong collaborative relationships with peer functions.

• Well-developed and inspiring leader with ability to influence senior leadership.

• Strong organizational, problem-solving and influencing skills and demonstrated track record of exceptional teamwork.

• Excellent interpersonal, communication, and presentation skills.

• Strategic thinker able to build a portfolio which enables key progress in AI/digital adoption and related productivity and pipeline gains.

• Recognized internally and externally by key stakeholders; in depth understanding of external environment and trends.

• Ability to execute and prioritize well in a complex matrixed environment.

• Ability to manage to financial, operational, compliance and regulatory guidelines.

Skills Desired