Head of Data Science & Modeling R&D (f/m/d) 80-100%

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

The role's purpose and scope are to Lead the SM data science and modeling strategy/ roadmap across the business platform to generate unique insights from data and develop new differentiated offerings using modeling tools. The incumbent will lead a team of expert data scientists/engineers, programmers and modeling experts (AI, mechanistic, statistical) deployed across multiple projects to enable the deployment of industry-leading data science and modeling capabilities.

What you’ll get:

• An agile career and dynamic working culture in a growing environment.
• An inclusive and ethical workplace.
• Compensation programs that recognize high performance.
• A variety of competitive benefits.

What you’ll do:

• Act as strategic lead for data science and modeling across the organization (R&D, MSAT, dev services, etc) and partner with relevant leads in other Business platforms.
• Effectively manage resources and projects in line with prioritized business needs.
• Support all business areas (chemistry, bio enhancement, oral drug product, drug delivery), functions (R&D, operations, quality, etc) and sites.
• Ensure advanced data science and modeling is a key enabler across our innovation pipeline and operations.
• Partner with IT Hub and spoke with contacts to ensure aligned strategy and investment.
• Ensure effective deployment of data ops/flows and visualization and modeling tools in operations, and services, through simplified workbenches, workflows, and apps as well as training.
• Accelerate the adoption of AI/ML as well as statistical and mechanistic modeling in the organization including through partnerships / external collaborations.
• Work closely with other SMEs (IT, Automation, analytical, etc) to ensure alignment of project and priorities.

What we’re looking for:

• PhD in Science, an equivalent professional qualification or occupational experience in Chemical engineering, statistics, chem-informatics/chemometrics.
• Minimum of 10 years of experience leading/managing projects, including technology projects, in a pharmaceutical /CDMO setting.
• Solid experience delivering strong value (new offerings, acceleration, etc) through the development and deployment of modeling tools in a pharmaceutical /CDMO environment.
• Demonstrated ability to operate in a complex matrix environment.
• Proven track record /scientific expertise in the development and deployment of complex modeling tools, programming, electronic lab notebooks, apps,etc
• Established collaboration network and external recognition as SME in the field
• Ability to operate at multiple levels from strategic planning to site operational deployment in line with broader R&D and BU objectives.
• Support own and matrix team resource planning, project management activities and prioritization decisions.
• Strong communication skills and capacity to translate technical information into business insights for decision-making process.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.