Team Lead Data Science (Data Management, Biostatistics) (m/f/d)

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Location: Bremen, Germany (mainly office based)

Department: Data Management, Biostatistics & Advanced Analytics

Your Role

As Team Lead, you will provide scientific, operational, and people leadership across Data Management, Biostatistics, and emerging Data Science activities. You will ensure high‑quality, compliant delivery of clinical trial data while actively shaping how data, analytics, and technology are used to generate insight and value.

This role is ideal for someone who enjoys working hands‑on with data, mentoring experts, and continuously improving how data supports clinical decision‑making. A person that values automation of repeating task and seeks to improve established methods.

Key Responsibilities

  • Lead, mentor, and develop interdisciplinary teams in Clinical Data Management, Biostatistics, and Data Science
  • Act as functional lead for advanced analytics, exploratory analyses, and data‑driven insights
  • Drive the integration of data science approaches (automation, visualisation, quality analytics, predictive methods)
  • Ensure compliance with ICH‑GCP, regulatory requirements, CDISC standards, and internal SOPs
  • Review and approve key deliverables (DMPs, SAPs, datasets, analyses, reports)
  • Serve as primary contact for sponsors and internal stakeholders on data and statistics topics
  • Support audit and inspection readiness
  • Lead process optimisation, standardisation, and innovation initiativesContribute to training concepts, capability building, and strategic development of data‑centric services

Your Profile

  • University degree in Biostatistics, Data Science, Mathematics, Life Sciences, Computer Science, or a related field
  • Several years of experience in Clinical Data Management and/or Biostatistics, ideally within a CRO or sponsor environment
  • Proven leadership or team‑lead experience
  • Strong interest in data science, analytics, and modern data tools
  • Natural passion for data – you enjoy exploring, questioning, and turning data into insight
  • Solid knowledge of clinical research standards (ICH‑GCP, CDISC, regulatory expectations)
  • Hands‑on experience with EDC systems and analytical tools (e.g. SAS, R, Python); experience with automation or visualisation is a plus
  • Excellent communication, collaboration, and stakeholder‑management skills
  • Fluent in English; German is an advantage

What We Offer

  • A leadership role with strategic and scientific impact
  • The opportunity to shape data science and analytics in clinical research
  • High level of autonomy and trust
  • Collaborative, expert teams and a strong quality culture
  • Continuous professional development and training
  • Competitive compensation and modern working conditions

If you are passionate about data, science, and leadership, we would love to hear from you.

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