The ETH Zurich core facility NEXUS Personalized Health facilitates discovery and translational research aimed at enhancing personalized health. The mission of the Biostatistics Group at NEXUS is to provide expertise in statistics and computational biology to advance biomedical research and clinical applications.
Position Overview
We are seeking a skilled Biostatistician to join our international and multidisciplinary team in Zurich, available to start immediately or by mutual agreement.
Key Responsibilities
Provide expert support in statistical data analysis for our clients in the field of personalized health and translational research, utilizing techniques such as generalized linear models, Cox regression, and probabilistic outcome prediction.
Assist customers with statistical considerations regarding sample size and experimental design.
Participate in the evaluation and implementation of new methodologies to enhance existing pipelines.
Develop, use, and share software tools in accordance with the reproducible research paradigm (markdown, git, containerization).
Qualifications
The successful candidate will possess:
A PhD in biostatistics or a quantitative science, or an equivalent level of experience (e.g., MSc plus relevant work experience).
Broad and deep expertise in applied biostatistics, including modern methods for inference, prediction, and dimension reduction.
Strong programming skills in R.
Hands-on experience in analyzing biological or medical data, obtained during a master’s or PhD thesis or equivalent work experience.
Enthusiasm for computational biology and translational research involving multi-modal molecular data.
Excellent communication and collaboration skills for effective teamwork within cross-functional teams.
Fluency in English, both verbal and written.
Preferred Qualifications
Experience with the analysis of spatial data, time-to-event data, high-dimensional data, machine learning, or AI.
Experience with NGS bioinformatics in a UNIX-based HPC environment.
Experience with workflow management systems.
Knowledge of German is advantageous.
Working Environment
At NEXUS, we value knowledge exchange and teamwork, encouraging each member to contribute their expertise. As a small group with flat hierarchies, we offer flexible working hours and family-friendly work models. We also provide training opportunities and engage in a broad range of exciting work at the forefront of translational research.
How to Apply
Apply online using the form below. Only applications matching the job profile will be considered.
For more information about NEXUS, please visit our website. For inquiries regarding the position, please contact Dr. Michael Prummer at Show e-mail.ch"> (no applications).
Location : Zürich ETH-Zentrum Country : Switzerland