Join the NEXUS Personalized Health Team at ETH Zurich
The ETH Zurich technology platform NEXUS Personalized Health is at the forefront of discovery and translational research for personalized health. Our team offers extensive expertise in Clinical Bioinformatics, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation.
Within this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into clinically relevant outcomes, bridging the gap between biomedical research and clinical practice. Our work encompasses tailored analyses and the integration of high-dimensional molecular data, ranging from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop robust analysis workflows and reusable components in close collaboration with academic institutions and hospitals.
About the Role: Group Leader Clinical Bioinformatics
As the Group Leader in Clinical Bioinformatics, you will guide a team of bioinformatics analysts and software engineers. Your leadership will ensure that our analyses and workflows are reproducible, scalable, and suitable for translational and clinical settings. You will drive innovation by evaluating emerging technologies and analytical methods, integrating cutting-edge practices into our research.
Key Responsibilities
- Project Management: Structure and oversee projects end-to-end, focusing on clear scope definition, milestone planning, risk management, and documentation standards in line with clinical quality requirements.
- Technical Leadership: Lead the development and enhancement of pipelines using Nextflow and Snakemake, setting standards for workflow engineering, testing, and long-term maintainability.
- Delivery Ownership: Manage timelines, quality, and stakeholder alignment across multiple projects with varying scopes.
- Project Acquisition and Customer Management: Cultivate relationships with researchers, clinicians, and partners; shape projects and translate needs into clear deliverables.
- Clinical Reporting and Decision Support: Convert complex, multimodal results into user-friendly outputs for physicians, such as dashboards and web-based reporting.
- Clinician Partnership: Facilitate communication to ensure clarity and simplicity while handling technical complexities.
- Innovation and Scientific Advancement: Stay abreast of developments in bioinformatics, AI, and data-driven medicine, translating promising methods into clinically applicable solutions.
- Cross-Team Collaboration: Work closely with Software Engineering, Systems Operations, Biostatistics, and Screening & Lab Automation groups to deliver integrated solutions.
- People Leadership: Recruit, mentor, and develop team members, promoting knowledge exchange and high standards.
- Resource Management: Plan capacity, prioritize tasks, and contribute to budgeting and reporting for the group.
Self-Assessment: You Will Thrive in This Role If...
- You enjoy overseeing projects from conception to delivery with a focus on robust, reusable solutions.
- You thrive in collaborative environments, building strong relationships with clinicians and cross-functional partners.
- You confidently set direction, make prioritization decisions, and are accountable for timelines and quality.
- You focus on enhancing workflows for improved reproducibility, scalability, and impact.
- You can distill complex data into clear, actionable insights for physicians.
- You uphold high standards for workflow engineering, testing, and documentation while mentoring your team.
Qualifications
- Non-Negotiables:
- Proven leadership experience in clinical bioinformatics, genomics, or translational research delivery.
- Hands-on experience developing analysis pipelines and reusable components.
- Workflow management experience with Nextflow and/or Snakemake.
- Proficiency with Git version control.
- Strong communication and stakeholder management skills.
- Excellent proficiency in English.
- Strongly Expected:
- Solid programming skills in Python or R with a focus on code quality.
- Experience with diverse data types including variant calling and single-cell sequencing analysis.
- Expertise in quality control and reporting in genomics/transcriptomics.
- Advantageous:
- Experience in statistics or advanced software engineering practices.
- Familiarity with HPC and Bash scripting.
- Basic knowledge of German.
At NEXUS, we value collaboration and knowledge exchange. We embrace flat hierarchies and a proactive attitude, offering flexible working hours and family-friendly models. Join us at the cutting edge of translational research.
Apply online using the form below. Please note that only applications matching the job profile will be considered.