Medicine Data & AI Integration & Orchestration Lead - Trial Simulator

The Position

Medicine Data & AI & Systems, as part of global Biostatistics and Data Sciences (gBDS), is focused on shaping the data, technology, and AI foundations that enable faster, better, and more reliable decisions across Medicine. The function is designed to create a connected and trusted foundation that brings together data, platforms, standards, and innovation capabilities to unlock value at scale.

The Medicine Data & AI Integration & Orchestration Lead drives the translation of Highscore initiative needs like Trial simulator and other use cases into integrated, scalable data, technology, and AI requirements. As the central orchestrator across Medicine, Data & AI, and partner functions, the role ensures systematic reuse of existing capabilities, stakeholder alignment, and delivery of cohesive, end-to-end solutions.

This position can either be filled in Ingelheim or Biberach.

This position is part time eligible with 70 %.

Tasks & responsibilities

• You will translate complex business and scientific use cases into clear, actionable data, technology, and AI requirements, ensuring strong alignment with user needs, product goals, and adoption strategies.

• Furthermore, you'll effectively connect medical, data science, and technical domains, enabling seamless collaboration and fostering a shared understanding across disciplines.

• Acting as a central orchestrator, you will drive alignment across Highscore initiatives by identifying, assessing, and leveraging existing capabilities to maximize reuse and avoid unnecessary duplication.

• In close collaboration with stakeholders, you'll ensure consistent governance by clarifying ownership, defining scope, and supporting prioritization decisions across Medicine, IT, and Data Science.

• At the same time, the duties will include the maintenance of a transparent and executable roadmap, the proactive management of dependencies, risks, and timelines while aligning delivery with the overarching end-to-end strategy.

• Moreover, you'll ensure that all solutions are seamlessly integrated into the broader data and AI landscape, promoting scalable, standardized, and reusable implementations.

• With a strong focus on value delivery, you will be continuously responsible for aligning cross-functional execution with strategic objectives, ensuring cohesive and sustainable outcomes across all initiatives.

Requirements

• Master of Science (MSc) or Doctoral Degree (PhD) in Data Science, Computer Science, Statistics, or a related field, or comparable qualification

• Proven track record of leading cross-functional teams in a matrix setting, driving strategic initiatives and complex transformations

• Strong experience in AI/data product environments in pharma

• The ability to translate clinical and scientific needs into technical solutions is a prerequisite for this role

• Deep understanding of data platforms, AI workflows, and system integration

• Strong program & stakeholder management in complex environments

• Experience mapping existing data, technology, and AI capabilities to new initiative requirements systems and platforms management.

• Excellent interpersonal and communication skills, with the ability to engage diverse stakeholders globally and build strong partnerships across organizational boundaries.

• Strong problem-solving mindset, passion for innovation and continuous learning, and commitment to quality, compliance, and data-driven decision-making.

• Fluency in written and spoken English.

Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.

Ready to contact us?

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com

Recruitment process

Step 1: Online application - The job posting is presumably online until November 9th 2026.

Step 2: Virtual meetings starting in the mid of November 2026

Step 3: On-site interviews starting end of November 2026

Please submit your application documents (including an application letter) in English.