Clinical data scientist

Meet Life Sciences; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A biotechnology company is seeking a Clinical Data Scientist to join their oncology team in Munich. This hybrid position focuses on analyzing clinical trial data, particularly in oncology, and requires strong SAS programming skills. You will interpret datasets and collaborate with clinical teams to inform critical development decisions. Ideal candidates will possess experience in clinical trial data management and demonstrate the ability to provide data-driven insights. Enjoy a hybrid work model with 3 days onsite in a small biotech environment.

Qualifikationen

• Strong experience working with clinical trial data in oncology.
• Hands-on expertise in SAS programming for data analysis.
• Solid understanding of clinical data structures and workflows.

Aufgaben

• Analyze and interpret clinical trial data for oncology studies.
• Work with SAS programming for data manipulation and analysis.
• Support clinical data review activities including ongoing checks.

Kenntnisse

Experience with clinical trial data

SAS programming

Understanding of clinical data structures

Analyzing biomarker datasets

Data interpretation

Experience in small biotech environments

Jobbeschreibung

Clinical Data Scientist

Location: Munich, Germany (Hybrid – 3 days onsite)

About the Role

We are seeking a Clinical Data Scientist to join our growing oncology-focused biotech team in Munich. This is a hands-on, hybrid role sitting at the intersection of clinical data management, statistical analysis, and scientific interpretation.

This position is ideal for someone who enjoys going beyond “clean data” — someone who wants to interrogate clinical and biomarker datasets, understand what the data is really saying, and work closely with clinical and translational colleagues to inform development decisions.

Responsibilities

• Perform analysis, review, and interpretation of clinical trial data, with a strong focus on oncology studies
• Work hands-on with SAS programming for data manipulation, analysis datasets, and outputs
• Support clinical data review activities, including ongoing data checks, listings, and trend identification
• Analyze and interpret biomarker and translational data, collaborating with clinical and scientific teams
• Contribute to data-driven insights for clinical development decisions, study readouts, and internal discussions
• Support preparation of analysis outputs, summaries, and visualizations for internal stakeholders
• Collaborate closely with clinical operations, data management, biostatistics, and translational science teams
• Ensure data quality, consistency, and interpretability across clinical datasets
• Participate in cross-functional discussions to help shape study strategy and data interpretation

Required Experience & Skills

• Strong experience working with clinical trial data, ideally within oncology
• Hands-on expertise in SAS programming (analysis, data handling, and review)
• Solid understanding of clinical data structures, standards, and workflows
• Experience working with or analyzing biomarker / translational datasets
• Ability to move beyond technical execution into data interpretation and scientific insight
• Comfortable working in a small biotech environment with broad responsibilities
• Background spanning both data management and data analysis in the life science industry

Working Model

• Hybrid role based in Munich
• 3 days per week onsite required
• Close collaboration with local clinical and scientific leadership