Principal Biostatistician - Biomarker

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Biostatistician - Biomarker in Netherlands.
Join a highly impactful role at the forefront of biomarker research and clinical development, where advanced statistical expertise contributes directly to the advancement of innovative therapies. As a Principal Biostatistician - Biomarker, you will lead the statistical design, analysis, and interpretation of complex biomarker and genomics data across clinical studies. Working within a collaborative, multidisciplinary environment, you will partner with scientists, clinicians, and data experts to generate meaningful insights that support critical development decisions. This position offers the opportunity to influence cutting-edge research, apply emerging AI and machine learning methodologies, and contribute to projects that can improve patient outcomes worldwide. Ideal for an experienced biomarker statistician, this role combines scientific rigor, strategic thinking, and technical leadership in a flexible and globally connected setting.

Accountabilities:

• Lead the statistical planning, execution, analysis, and interpretation of biomarker and genomics components within clinical studies and research programs.


• Develop comprehensive Biomarker Evaluation Plans, ensuring consistency and scientific rigor across projects and study phases.


• Provide expert statistical input into clinical development strategies, biomarker research initiatives, and the application of AI and machine learning methodologies.


• Design and conduct advanced analyses of complex biomarker datasets, including genomics, transcriptomics, RNA, Olink, and other high-dimensional biological data.


• Develop innovative statistical methodologies, analytical frameworks, and algorithms to support biomarker discovery and validation.


• Coordinate biomarker-related statistical activities across cross-functional teams, ensuring alignment of objectives and deliverables.


• Oversee the preparation, quality, and interpretation of Biomarker Evaluation Reports and other key statistical deliverables.


• Contribute to the development and implementation of standardized processes, best practices, and analytical approaches for biomarker assessments.


• Collaborate closely with clinical, scientific, and operational stakeholders to support study objectives and data-driven decision-making.

Requirements

• PhD or MSc in Biostatistics, Statistics, Mathematics, or a related quantitative scientific discipline.


• Proven experience independently leading biomarker-focused studies within clinical research or drug development environments.


• Strong expertise in biomarker evaluation, particularly within immunology, infectious diseases, type 1 diabetes, or related therapeutic areas.


• Extensive experience analyzing complex, high-dimensional biological and genomic datasets.


• Proficiency in statistical programming using R, including Bioconductor and other relevant genomics packages, as well as Python.


• Experience working with RNA sequencing, Olink platforms, and other biomarker technologies.


• Knowledge of AI and machine learning methodologies and their application within biomarker research and clinical development.


• Strong understanding of clinical trial design, statistical methodologies, and regulatory expectations in life sciences.


• Excellent communication, presentation, and interpersonal skills, with the ability to collaborate effectively across multidisciplinary teams.


• Demonstrated ability to work independently, manage complex projects, and provide scientific leadership with minimal supervision.


• Previous pharmaceutical, biotechnology, CRO, or clinical research industry experience is strongly preferred.

• Fully remote position with flexibility across the EMEA region.


• Opportunity to work on innovative biomarker and genomics research that supports the development of life-changing therapies.


• Access to ongoing professional development, technical training, and career advancement opportunities.


• Collaborative environment with highly experienced scientific, clinical, and statistical professionals.


• Exposure to cutting-edge technologies, including advanced analytics, AI, machine learning, and precision medicine initiatives.


• Comprehensive rewards and recognition programs.


• Inclusive and diverse workplace culture focused on collaboration, innovation, and professional growth.


• Global project exposure across multiple therapeutic areas and international clinical development programs.


• Supportive leadership and access to extensive scientific and operational resources.

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