Group Leader Clinical Bioinformatics 80%-100%, Basel, permanent The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into clinically usable outcomes, working deliberately across the boundary between biomedical research and clinical practice. Our work includes project-tailored analyses and integration of high-dimensional molecular data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration with academic institutions and hospitals. Job description As Group Leader Clinical Bioinformatics, you lead a team of bioinformatics analysts and software engineers. You ensure that analyses and workflows are reproducible, scalable, and fit for translational and clinical contexts. You drive innovation by continuously evaluating emerging technologies and analytical approaches, integrating cutting-edge methods into clinical and translational research. A key part of the role is securing, prioritizing, and strategically managing clinical and translational projects through active stakeholder engagement. Project management: structure and oversee projects end-to-end, ensuring clear scope definition, milestone planning, risk management, documentation standards, and processes aligned with translational and clinical quality requirements Technical leadership: drive development and extension of pipelines using Nextflow and Snakemake. Set standards for workflow engineering, testing, documentation, and long-term maintainability Delivery ownership: take responsibility for timelines, quality, and stakeholder alignment across multiple projects with variable scope Project acquisition and customer management: build relationships with researchers, clinicians, and partners, shape projects, and translate needs into clear deliverables and expectations Clinical reporting and decision support: turn complex, multimodal, and large-scale results into clear outputs for physicians, including dashboards and web-based reporting for decision support Clinician partnership: listen closely, clarify what is useful, and keep the interface simple while your team handles technical complexity Innovation and scientific advancement: stay at the forefront of developments in bioinformatics, AI, and data-driven medicine, evaluate emerging methods and technologies, and translate promising approaches into robust, clinically applicable solutions Cross-team collaboration: work closely with the Software Engineering, Systems Operations, Biostatistics, and Screening & Lab Automation groups to deliver integrated solutions end-to-end People leadership: recruit, mentor, and develop team members, fostering knowledge exchange and high standards Resource management: plan capacity, prioritize work, and contribute to budgeting and reporting for the group Quick Self-Check You will thrive in this role if... You enjoy owning projects end-to-end, from shaping the initial question with clinicians and partners to delivering robust, reusable solutions with clear outcomes You like working across disciplines and building close collaborations with clinicians and cross-functional partners, not working in a silo You are comfortable setting direction, making prioritisation calls, and being accountable for timelines and quality You like building workflows others rely on and continuously improving them to raise reproducibility, scalability, and impact You can turn complex, multimodal data into decision-support outputs that are clear, usable, and focused on what physicians actually need, rather than overwhelming them with technical detail You set a high bar for workflow engineering, testing, documentation, and Git-based collaboration, and you enjoy bringing a team along to meet that bar together Profile Non-Negotiables: Proven leadership experience in clinical bioinformatics, genomics, or translational research delivery Hands-on experience developing and extending analysis pipelines and reusable components Workflow management with Nextflow and/or Snakemake, with the ability to set team standards Git version control as daily practice is a must Strong clinician-facing communication and stakeholder management skills Excellent communication skills in English Strongly Expected: Solid programming in Python or R and strong code quality habits (reviews, testing, documentation) Track record across data types from variant calling and expression analyses to single-cell sequencing analysis Experience with quality control and reporting in genomics/transcriptomics Advantageous: Experience in statistics or software engineering practices beyond scripting HPC usage and Bash Knowledge of German Workplace We offer At NEXUS we value knowledge exchange and working together as a team, where everyone brings in their own expertise We have flat hierarchies and a can-do attitude. We offer flexible working hours and family-friendly working models, training opportunities, and a broad and exciting field of work at the cutting edge of translational research chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future. Curious? So are we. We look forward to receiving your online application with the following documents: Cover letter (please include an example of a workflow/pipeline you owned, an example of a clinician-facing output you helped to put together, and an example of how you shaped a project from first contact to delivery) CV Reference letter(s) and contact details of referees Copies of relevant diplomas and certificates Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about NEXUS Personalized Health can be found on our website. Questions regarding the position should be directed to Dr. Daniel Stekhoven, stekhoven@nexus.ethz.ch, and Dr. Franziska Singer, singer@nexus.ethz.ch (no applications). For recruitment services the GTC of ETH Zurich apply. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. If you apply for this position please say you saw it on Adminoxy

Group Leader Clinical Bioinformatics

80%-100%, Basel, permanent

The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation.

Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into clinically usable outcomes, working deliberately across the boundary between biomedical research and clinical practice. Our work includes project-tailored analyses and integration of high-dimensional molecular data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration with academic institutions and hospitals.

Job description

As Group Leader Clinical Bioinformatics, you lead a team of bioinformatics analysts and software engineers. You ensure that analyses and workflows are reproducible, scalable, and fit for translational and clinical contexts. You drive innovation by continuously evaluating emerging technologies and analytical approaches, integrating cutting-edge methods into clinical and translational research. A key part of the role is securing, prioritizing, and strategically managing clinical and translational projects through active stakeholder engagement.

Project management: structure and oversee projects end-to-end, ensuring clear scope definition, milestone planning, risk management, documentation standards, and processes aligned with translational and clinical quality requirements
Technical leadership: drive development and extension of pipelines using Nextflow and Snakemake. Set standards for workflow engineering, testing, documentation, and long-term maintainability
Delivery ownership: take responsibility for timelines, quality, and stakeholder alignment across multiple projects with variable scope
Project acquisition and customer management: build relationships with researchers, clinicians, and partners, shape projects, and translate needs into clear deliverables and expectations
Clinical reporting and decision support: turn complex, multimodal, and large-scale results into clear outputs for physicians, including dashboards and web-based reporting for decision support
Clinician partnership: listen closely, clarify what is useful, and keep the interface simple while your team handles technical complexity
Innovation and scientific advancement: stay at the forefront of developments in bioinformatics, AI, and data-driven medicine, evaluate emerging methods and technologies, and translate promising approaches into robust, clinically applicable solutions
Cross-team collaboration: work closely with the Software Engineering, Systems Operations, Biostatistics, and Screening & Lab Automation groups to deliver integrated solutions end-to-end
People leadership: recruit, mentor, and develop team members, fostering knowledge exchange and high standards
Resource management: plan capacity, prioritize work, and contribute to budgeting and reporting for the group

Quick Self-Check

You will thrive in this role if...

You enjoy owning projects end-to-end, from shaping the initial question with clinicians and partners to delivering robust, reusable solutions with clear outcomes
You like working across disciplines and building close collaborations with clinicians and cross-functional partners, not working in a silo
You are comfortable setting direction, making prioritisation calls, and being accountable for timelines and quality
You like building workflows others rely on and continuously improving them to raise reproducibility, scalability, and impact
You can turn complex, multimodal data into decision-support outputs that are clear, usable, and focused on what physicians actually need, rather than overwhelming them with technical detail
You set a high bar for workflow engineering, testing, documentation, and Git-based collaboration, and you enjoy bringing a team along to meet that bar together

Profile

Non-Negotiables:

Proven leadership experience in clinical bioinformatics, genomics, or translational research delivery
Hands-on experience developing and extending analysis pipelines and reusable components
Workflow management with Nextflow and/or Snakemake, with the ability to set team standards
Git version control as daily practice is a must
Strong clinician-facing communication and stakeholder management skills
Excellent communication skills in English

Strongly Expected:

Solid programming in Python or R and strong code quality habits (reviews, testing, documentation)
Track record across data types from variant calling and expression analyses to single-cell sequencing analysis
Experience with quality control and reporting in genomics/transcriptomics

Advantageous:

Experience in statistics or software engineering practices beyond scripting
HPC usage and Bash
Knowledge of German

Workplace

We offer

At NEXUS we value knowledge exchange and working together as a team, where everyone brings in their own expertise
We have flat hierarchies and a can-do attitude. We offer flexible working hours and family-friendly working models, training opportunities, and a broad and exciting field of work at the cutting edge of translational research

chevron_right Working, teaching and research at ETH Zurich

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents:

Cover letter (please include an example of a workflow/pipeline you owned, an example of a clinician-facing output you helped to put together, and an example of how you shaped a project from first contact to delivery)
CV
Reference letter(s) and contact details of referees
Copies of relevant diplomas and certificates

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about NEXUS Personalized Health can be found on our website. Questions regarding the position should be directed to Dr. Daniel Stekhoven, stekhoven@nexus.ethz.ch, and Dr. Franziska Singer, singer@nexus.ethz.ch (no applications).

For recruitment services the GTC of ETH Zurich apply.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

If you apply for this position please say you saw it on Adminoxy

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