Senior Expert / Senior Principal PKS Data Scientist & Scientific Software Engineer (Dual level posting)

Salary Range: CHF102,200.00 - CHF189,800.00 Job Description Summary #LI-Hybrid Location: Basel, Switzerland Internal Title: Senior Expert II Data Science or Senior Principal Data Science The Senior Data Scientist & Scientific Software Engineer will join the Modeling & Simulation Data Science team within the Translational Medicine Unit to help advance data-driven drug discovery. The role is focused on transforming large-scale ADME, PK, and related experimental datasets into actionable insights through advanced analytics, machine learning, and robust software engineering. Partnering closely with pharmacokinetic sciences (PKS) scientists, Data & Digital teams, and cross-functional stakeholders, this position will drive the development of scalable analytical applications, reusable computational workflows, and decision-enabling in silico solutions that accelerate lead optimization and strengthen scientific decision making. Job Description 200+ experimental datasets are generated every day in the Pharmacokinetic Sciences (PKS) department at Novartis Biomedical Research. This role sits at the center of efforts to unlock the value of these data for decision making and to shape the future of medicine through advanced data science. As Senior Expert II / Senior Principal Data Scientist & Scientific Software Engineer, you will join the Modeling & Simulation Data Science team in the Translational Medicine Unit and work at the intersection of data science, software engineering, and drug discovery. You will apply machine learning, statistics, and modern software development practices to harness ADME and PK data, uncover structure - property relationships, and translate scientific and business needs into scalable, strategically aligned solutions. You will collaborate closely with Data & Digital and PKS wet- (ADME and bioanalytical) and dry-lab (modeling) teams to identify opportunities where data, applications, and in silico methods can meaningfully improve decision quality, efficiency, and scientific impact. In addition to hands-on technical delivery, you will help shape and champion fit-for-purpose solutions that are robust, reusable, and maintainable in a production setting. This role is ideal for a scientifically grounded data scientist who combines strong analytical depth with practical software engineering expertise , and who is motivated by delivering measurable impact in drug discovery through high-quality data products, machine learning, and computational innovation. Key Responsibilities Senior Principal: Act as a senior Modeling & Simulation Data Science representative on discovery and lead optimization programs, contributing scientific and strategic input to project discussions and decisions, and helping shape data science direction across programs. Senior Expert II: Act as a key Modeling & Simulation Data Science representative on discovery and lead optimization programs, providing expert scientific input and contributing to project discussions and decisions. Senior Principal: Partner with Data & Digital and PKS wet- and dry-lab teams to identify priority gaps, clarify business needs, and translate them into strategically aligned analytical and computational solutions with broad scientific and operational impact. Own the Senior Expert II: Partner with Data & Digital and PKS wet- and dry-lab teams to identify priority gaps, clarify business needs, and translate them into high-impact analytical and computational solutions for projects and platforms. Design, build, and maintain scalable applications, workflows, and data pipelines that support scientific analysis and decision making across projects and modalities. Develop, evaluate, and deploy machine learning and statistical models to uncover relationships between chemical structure and molecular or pharmacokinetic properties. Apply data mining, visualization, and exploratory analysis to derive insight from complex experimental datasets and communicate findings clearly to diverse stakeholders. Senior Principal: Create and implement project- or modality-specific in silico models and data strategies that accelerate and streamline compound progression decisions while informing broader scientific direction and capability development. Senior Expert II: Create and implement project- or modality-specific in silico models and data approaches that accelerate and streamline compound progression decisions. Write production-quality code following strong software engineering practices, including version control, testing, documentation, and maintainability standards. Senior Principal: Lead and shape cross-functional initiatives across data science, software engineering, and laboratory teams, driving strategic alignment and organizational impact. Senior Expert II: Contribute to and coordinate cross-functional initiatives across data science, software engineering, and laboratory teams to deliver high-quality solutions. Senior Principal: Promote and champion the broad adoption of in-house tools, applications, and data science methods, helping shape best practices and strengthen data science capabilities across Translational Medicine and PKS. Senior Expert II: Promote the adoption and effective use of in-house tools, applications, and data science methods across projects and teams to maximize scientific impact. Senior Principal: Stay current with advances in AI/ML, statistics, and computational methods relevant to ADME, PK/PD, and drug discovery, and proactively evaluate and bring appropriate innovation into practice to improve efficiency and scientific impact. Senior Expert II: Stay current with advances in AI/ML, statistics, and computational methods releva