NEXUS Personalized Health
The ETH Zurich core facility NEXUS Personalized Health facilitates discovery and translational research to enhance personalized health. The mission of the Biostatistics Group at NEXUS is to deliver expertise in statistics and computational biology to drive advancements in biomedical research and clinical applications.
Job Opportunity: Biostatistician
We are seeking a skilled Biostatistician to join our international and multidisciplinary team in Zurich, available immediately or by mutual agreement.
Your Responsibilities
- Conduct project-tailored statistical analyses and report results for various multi-omics data types, including whole transcriptome bulk, single-cell, and spatial data.
- Engage with a diverse set of stakeholders in academic institutions, hospitals, and companies, contributing to projects within biomedical research and clinical diagnostics.
- Provide expert support in statistical data analysis, including inference with generalized linear models, Cox regression, or probabilistic outcome prediction.
- Assist clients in making statistical considerations related to sample size and experimental design.
- Evaluate and implement new methods to enhance existing analytical pipelines.
- Develop, utilize, and share software tools adhering to the reproducible research paradigm (markdown, git, containerization).
Candidate Profile
The ideal 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, gained through a master’s or PhD thesis or equivalent work.
- An enthusiasm for computational biology and translational research involving multi-modal molecular data.
- Excellent communication and collaboration skills to work effectively within cross-functional teams.
- Fluency in English, both verbal and written.
Desirable Qualifications
- Experience with spatial data, time-to-event data, high-dimensional data, machine learning, or AI.
- Experience with NGS bioinformatics in a Unix-based HPC environment.
- Familiarity with workflow management systems.
- Knowledge of German.
Our Work Environment
At NEXUS, we value knowledge exchange and teamwork, where each member contributes their unique expertise. As a small group, we maintain flat hierarchies and offer flexible working hours alongside family-friendly working models. We provide ample training opportunities and cover a broad, exciting spectrum of work at the forefront of translational research.
Application Process
Interested candidates are invited to apply online using the form below. Only applications matching the job profile will be considered.