Head of Data Science Solutions

Lead the future of biopharma innovation-drive data science solutions and digital twin strategies as Head of Data Science Solutions (m/w/d).

Proclinical is seeking a
Head of Data Science Solutions (m/w/d)
to lead customer-facing data science initiatives and deliver advanced modeling and digital twin projects for biopharmaceutical clients.

POSITION OVERVIEW:
For one of our biopharma clients in Stuttgart, we are seeking a Head of Data Science Solutions (m/w/d). This is a 100% remote role, open to candidates anywhere within the EU or Great Britain. In this strategic leadership position, you will drive customer-facing data science initiatives, delivering advanced modeling and digital twin projects that provide actionable insights for process development and cell culture optimization.

You will act as a trusted advisor in technical and commercial discussions, support pre-sales engagements, and collaborate with product and research teams to shape solutions. Leading a team of Data Scientists, you'll ensure scientific rigor, strong client engagement, and business growth. This role requires deep expertise in data science, bioprocesses, and proven leadership skills.

KEY RESPONSIBILITIES:
Customer Project Leadership

• Oversee the execution of customer modeling projects from data acquisition to model delivery and interpretation.
• Ensure project outcomes meet scientific, technical, and contractual objectives with clear customer value.
• Serve as the primary scientific contact for key accounts, maintaining excellent relationships and communication.
• Translate complex modeling outcomes into decision-ready insights for scientists and executives.

Scientific and Technical Excellence

• Guide the design, calibration, and validation of hybrid models combining mechanistic and AI-based approaches.
• Ensure scientific rigor in data handling, model interpretation, and documentation across all projects.
• Drive innovation in modeling workflows and virtual experimentation strategies.
• Contribute to the continuous improvement of our hybrid modeling framework and internal knowledge base.
• Provide scientific feedback to the Product and R&D teams to align future developments with customer needs.

Business Development and Customer Growth

• Identify new opportunities within existing accounts by understanding customer goals and process challenges.
• Collaborate with the product and research teams to define and position follow-up projects.
• Contribute in pre-sales discussions, technical presentations, and proposal preparation.
• Represent us at conferences, customer meetings, and industry events to expand visibility and engagement.

Team Leadership and Development

• Lead, mentor, and develop Data Scientists, ensuring high scientific and professional standards.
• Establish best practices for modeling workflows, data analysis, and scientific communication.
• Foster a culture of accountability, ownership, and continuous learning across the team.
• Evaluate team performance, identify development needs, and drive upskilling initiatives.

Strategic Collaboration

• Partner with the Head of AI & Hybrid Modeling, Head of Software Architecture & Engineering, and Head of Product to align project delivery with product roadmap and technological capabilities.
• Represent the professional services organization in internal planning and customer strategy sessions.
• Contribute to strategic discussions on scaling our modeling services and automation of project workflows.

Skills & RESPONSIBILITIES:

• Proven expertise in data science, hybrid modeling, and bioprocess analysis.
• Strong proficiency in Python and ML/data libraries (NumPy, Pandas, SciPy, PyTorch, JAX, Scikit-learn).
• Experience designing and calibrating hybrid or mechanistic models of biological systems.
• Deep understanding of cell culture processes, bioreactor systems, and bioprocess data.
• Strong skills in data visualization, statistical analysis, and result storytelling.
• Familiarity with cloud platforms and collaborative modeling environments.

Soft Skills

• Exceptional communication and presentation skills, engaging confidently with both technical and executive audiences.
• Strong commercial sense - able to identify value for customers and articulate it effectively.
• Leadership and mentoring capabilities with a high sense of accountability and ownership.
• Structured, analytical, and capable of critical scientific reasoning.
• Comfortable operating autonomously in a remote, international environment.

PREFERRED QUALIFICATIONS:

• PhD or MSc in Data Science, Systems Biology, Bioprocess Engineering, or related field.
• 8+ years of experience in applied data science or hybrid modeling roles, ideally in biopharma.
• Demonstrated success leading customer projects and expanding customer relationships.
• Prior experience in technical sales, pre-sales, or consulting.
• Strong record of scientific communication (publications, presentations, or workshops).

If you are a data-driven scientist and leader with strong customer instincts, a flair for communication, and a passion for advancing digital bioprocessing - we invite you to join us as Head of Data Science Solutions (m/w/d) and shape the future of biopharma innovation.

If you are having difficulty in applying or if you have any questions, please contact
Thomas Wenig
at

Apply Now:

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