On behalf of an innovative, internationally operating technology company in the biopharmaceutical space, we are currently supporting the search for a senior leader who combines scientific depth with strong customer focus and commercial awareness. This role offers the opportunity to shape how advanced data-driven and digital twin solutions create tangible value for sophisticated life-science customers.
End-to-end ownership of complex customer projects in data science, modeling, and digital twin environments, from data intake through model delivery and interpretation
Scientific leadership in the design, calibration, and validation of hybrid models combining mechanistic and AI-based approaches
Acting as the primary scientific and strategic contact for key customer accounts
Translating complex analytical and modeling results into clear, decision-ready insights for both technical and executive stakeholders
Identifying opportunities to expand and deepen existing customer relationships through follow-up and extension projects
Active involvement in pre-sales activities, including technical discussions, presentations, and proposal development
Leading, mentoring, and developing an international team of Data Scientists
Establishing best practices for modeling workflows, data analysis, and scientific communication
Close collaboration with product, research, and engineering teams to align customer delivery with the broader solution roadmap
Representing the organization at customer meetings, conferences, and industry events
Approximately 8+ years of experience in applied data science, hybrid or mechanistic modeling, ideally within biopharma, biotech, or a related life-science environment
Strong understanding of cell culture processes, bioreactor systems, and bioprocess data
High proficiency in Python and common data science / ML libraries such as NumPy, Pandas, SciPy, PyTorch, JAX, or scikit-learn
Proven track record of leading customer-facing scientific projects
Excellent ability to communicate complex scientific topics clearly and convincingly to diverse audiences
Strong commercial mindset with the ability to identify and articulate customer value
Demonstrated leadership and mentoring capabilities with a high level of ownership and accountability
Structured, analytical way of working and confidence operating autonomously in an international, remote-first setup
Advanced academic background (PhD or MSc) in Data Science, Systems Biology, Bioprocess Engineering, or a related field is a strong advantage
Senior leadership role with high strategic impact and visibility
A rare combination of scientific excellence, customer influence, and commercial responsibility
Collaboration with highly skilled experts across data science, modeling, and life sciences
Exposure to international, high-profile customer projects in the biopharmaceutical industry
Flexible, modern working culture built on trust and personal responsibility
Long-term perspective within a fast-growing, technology-driven organization
If you are looking to combine scientific leadership with customer impact and strategic responsibility, I look forward to connecting for a confidential discussion.

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