Associate Director, Biomarker Biostatistics

R&D Partners; Basel; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

R&D Partners is seeking a Biomarker Biostatistics Associate Director in Basel to lead biomarker analysis strategies across drug development. You will translate scientific questions into data-driven plans, analyze diagnostic and predictive outcomes, and influence study design with clinical and translational teams.

The role emphasizes integration of biomarker data with regulatory considerations to enable precision therapies for autoimmune diseases. Strong collaboration and leadership are required.

Qualifikationen

• Advanced degree in Biostatistics, Biostatistics or related field.
• Expertise in statistical methods for clinical and biomarker data (survival, longitudinal models).
• Experience with biomarkers in predictive modeling, pharmacodynamics, or patient stratification.
• Ability to translate complex data into clear recommendations for stakeholders.
• Proficiency in R and handling high-dimensional datasets.
• Strong collaboration and communication skills in cross-functional environments.
• Familiarity with regulatory biomarker requirements is a plus.

Aufgaben

• Develop biomarker strategies using statistical methods tailored to program goals.
• Translate scientific questions into actionable data analysis plans.
• Analyze biomarker data to assess diagnostic, prognostic, and treatment-related outcomes.
• Collaborate with clinical and translational teams to influence study designs and biomarker selection.
• Integrate biomarker and clinical data to generate insights for decision-making.
• Ensure analyses meet clinical and regulatory standards.
• Support transition of exploratory findings into actionable clinical evidence.
• Promote transparency and reproducibility in data analysis processes.
• Mentor teams to enhance statistical approaches and best practices.
• Represent biomarker biostatistics in strategic discussions.

Kenntnisse

Biostatistics expertise

Survival analysis

Longitudinal models

Biomarker data analysis

R programming

Cross-functional collaboration

Regulatory familiarity

Ausbildung

Advanced degree in Biostatistics

Jobbeschreibung

Are you ready to make a groundbreaking impact in the world of biotechnology? Join a growing company that's shaping the future of healthcare and science.

R&D Partners is seeking a Biomarker Biostatistics Associate Director to play a key role in shaping and driving the strategic use of biomarkers throughout the drug development process. This position will focus on analyzing biomarker data to guide decision-making, reduce risks, and strengthen clinical and regulatory strategies. You will collaborate across teams to ensure that biomarker insights are effectively integrated into research and development efforts, ultimately contributing to the delivery of precision therapies for patients with severe autoimmune diseases.

Please note that to be considered for this role you must have the right to work in this location.

Responsibilities

• Work with teams to develop biomarker strategies using statistical methods tailored to key program goals.


• Translate scientific and clinical questions into actionable data analysis plans.


• Analyze biomarker data to assess diagnostic, prognostic, and treatment-related outcomes.


• Collaborate with clinical and translational teams to influence study designs and biomarker selection.


• Integrate biomarker and clinical data to generate insights and support decision-making.


• Ensure biomarker analyses are relevant, reliable, and meet clinical and regulatory standards.


• Support the transition of exploratory findings into actionable evidence for clinical use.


• Promote transparency and reproducibility in data analysis processes.


• Mentor and guide teams to enhance statistical approaches and best practices.


• Represent biomarker biostatistics in strategic discussions and decision‑making forums.

Key Skills and Requirements

• Advanced degree in Biostatistics, Statistics, or a related field.


• Strong expertise in statistical methods for clinical and biomarker data (e.g., survival analysis, longitudinal models).


• Experience working with biomarkers in areas like predictive modeling, pharmacodynamics, or patient stratification.


• Ability to translate complex data into clear recommendations for stakeholders.


• Proficiency in R and experience with high-dimensional datasets.


• Strong collaboration and communication skills in cross‑functional environments.


• Familiarity with regulatory requirements and biomarker strategy development is a plus.

For more information, please contact Antony Serrecchia.