We are seeking a highly motivated and skilled Biological Data Scientist (m/f/d) to perform advanced statistical analyses on biomarker data. The successful candidate will work closely with multidisciplinary teams, including bioinformatics, translational science, and clinical development, to derive meaningful insights from complex biological datasets. This role is critical to our mission of advancing biomarker discovery and application to support drug development and precision medicine strategies.

Key Responsibilities

Data Analysis & Modeling:

• Design and perform statistical analyses on biomarker data from clinical and translational studies.
• Develop and apply predictive models, machine learning approaches, and other advanced statistical techniques to interpret biomarker datasets.
• Conduct exploratory data analysis (EDA) to identify patterns, trends, and correlations in biomarker data.

Biomarker Discovery & Validation:

• Support the identification and validation of predictive and prognostic biomarkers for therapeutic response, disease progression, and patient stratification.
• Analyze multi-omics data (e.g., genomics, transcriptomics, proteomics) to inform biomarker development.
• Integrate biomarker data with clinical and phenotypic data to derive actionable insights.

Collaboration & Communication:

• Collaborate with cross-functional teams, including biologists, clinicians, and bioinformaticians to develop and execute biomarker analysis plans.
• Clearly communicate statistical methods, results, and interpretations to scientific and non-scientific stakeholders through reports, presentations, and publications.
• Contribute to the preparation of regulatory submissions, scientific manuscripts, and presentations at conferences.

Operational Excellence:

• Develop and optimize workflows for biomarker data management, statistical analysis, and visualization.
• Stay current with advancements in statistical methodologies and computational tools relevant to biomarker research.