Bioinformatics specialist 100%, Zurich, fixed-term
ETH Zürich
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Bioinformatics specialist
100%, Zurich, fixed-term
print Drucken
The laboratories of Genome Biology (Prof. Jacob Corn) and Metabolic Diseases (Prof. Markus Stoffel) are seeking a
Bioinformatics specialist (100%, split 50/50 between the labs) . This position is not tied to a specific project, but
is instead aimed at general bioinformatics support for two laboratories. There are professional bioinformaticians
already working in each lab, and the wet lab members of each lab are savvy in quantitative analysis. So there will be
many chances for advanced collaboration and participation in a robust computational biology community.
Job description
You will primarily report to Professors Jacob Corn and Markus Stoffel, heads of the Genome Biology and Metabolic
Disease groups at ETH Zurich and work within a network of local, national and international collaborators. We are
located on neighbouring floors of the IMHS building and our groups are regularly in contact with one another.
Furthermore, you will be a highly collaborative, self-motivated Bioinformatics specialist with deep expertise in
modern next-generation sequencing output and analysis. You will provide expertise in computational genomics for the
analysis of next-gen sequencing data and its integration with public databases such as TCGA, CCLE, and ENCODE. In
addition, you provide consultation to researchers to design experiments, perform data analysis, and troubleshooting.
You will use computational infrastructure and software packages, including workstations, high-performance computing
clusters, and cloud/national infrastructure platforms. Moreover, you will also work as part of a team to draft
manuscripts and prepare presentations.
Profile
A PhD or equivalent degree in Bioinformatics, Molecular Biology, Statistics, Computer Science or a related field is
required.
You must have experience working with next-generation sequencing data. For example gene expression, single-cell
sequencing, alternative/differential splicing, RNA binding protein networks, functional genomics screening,
quantification of alleles from amplicon sequencing, lineage barcoding, single-cell and bulk RNA-Seq, ChIP-seq,
high-throughput sequence analysis, genome variant analysis. This position entails extensive collaborative work with
wet-lab researchers. You bring along experience working with a subset of standard bioinformatics, statistics, and
analytical tools and sufficient knowledge of UNIX/Linux to manage your working environment and interact with system
administrators and support staff. Other required qualifications are advanced skills in scripting or programming
languages, preferably Python, and the ability to communicate effectively in a highly diverse, cross-disciplinary
environment.
Preferred Qualifications are experience in analyzing genome editing experiments, genomic data exploration,
visualization, and figure preparation for publications, ability to complete and describe projects, demonstrated for
example by journal articles and/or preprints and as well software/pipeline creation and maintenance, version control,
reproducible workflows. You will be a highly collaborative, self-motivated researcher with deep expertise in modern
next-generation sequencing output and analysis.
Workplace
Workplace
We offer
The position is located at the Institute of Molecular Health Sciences at the Hönggerberg Campus of ETH Zurich, a
world-leading institution in basic and applied research. We offer a state-of-the-art work environment, including
advanced computational clusters, multiple well-equipped and staffed core facilities, collegial colleagues, and
opportunities for dynamic and creative work.
chevron_right Working, teaching and research at ETH Zurich
We value diversity
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.
Curious? So are we.
We look forward to receiving your online application including:
- a letter of motivation
- CV
- diplomas, job references / letters of recommendation
- contact details of 2 referees
Please note that we exclusively accept applications submitted through our online application portal. Applications via
email or postal services will not be considered.
Questions regarding the position should be directed via email to Prof. Dr. Jacob Ellery Corn
(jacob.corn@biol.ethz.ch). No applications via email.
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.
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.
100%, Zurich, fixed-term
print Drucken
The laboratories of Genome Biology (Prof. Jacob Corn) and Metabolic Diseases (Prof. Markus Stoffel) are seeking a
Bioinformatics specialist (100%, split 50/50 between the labs) . This position is not tied to a specific project, but
is instead aimed at general bioinformatics support for two laboratories. There are professional bioinformaticians
already working in each lab, and the wet lab members of each lab are savvy in quantitative analysis. So there will be
many chances for advanced collaboration and participation in a robust computational biology community.
Job description
You will primarily report to Professors Jacob Corn and Markus Stoffel, heads of the Genome Biology and Metabolic
Disease groups at ETH Zurich and work within a network of local, national and international collaborators. We are
located on neighbouring floors of the IMHS building and our groups are regularly in contact with one another.
Furthermore, you will be a highly collaborative, self-motivated Bioinformatics specialist with deep expertise in
modern next-generation sequencing output and analysis. You will provide expertise in computational genomics for the
analysis of next-gen sequencing data and its integration with public databases such as TCGA, CCLE, and ENCODE. In
addition, you provide consultation to researchers to design experiments, perform data analysis, and troubleshooting.
You will use computational infrastructure and software packages, including workstations, high-performance computing
clusters, and cloud/national infrastructure platforms. Moreover, you will also work as part of a team to draft
manuscripts and prepare presentations.
Profile
A PhD or equivalent degree in Bioinformatics, Molecular Biology, Statistics, Computer Science or a related field is
required.
You must have experience working with next-generation sequencing data. For example gene expression, single-cell
sequencing, alternative/differential splicing, RNA binding protein networks, functional genomics screening,
quantification of alleles from amplicon sequencing, lineage barcoding, single-cell and bulk RNA-Seq, ChIP-seq,
high-throughput sequence analysis, genome variant analysis. This position entails extensive collaborative work with
wet-lab researchers. You bring along experience working with a subset of standard bioinformatics, statistics, and
analytical tools and sufficient knowledge of UNIX/Linux to manage your working environment and interact with system
administrators and support staff. Other required qualifications are advanced skills in scripting or programming
languages, preferably Python, and the ability to communicate effectively in a highly diverse, cross-disciplinary
environment.
Preferred Qualifications are experience in analyzing genome editing experiments, genomic data exploration,
visualization, and figure preparation for publications, ability to complete and describe projects, demonstrated for
example by journal articles and/or preprints and as well software/pipeline creation and maintenance, version control,
reproducible workflows. You will be a highly collaborative, self-motivated researcher with deep expertise in modern
next-generation sequencing output and analysis.
Workplace
Workplace
We offer
The position is located at the Institute of Molecular Health Sciences at the Hönggerberg Campus of ETH Zurich, a
world-leading institution in basic and applied research. We offer a state-of-the-art work environment, including
advanced computational clusters, multiple well-equipped and staffed core facilities, collegial colleagues, and
opportunities for dynamic and creative work.
chevron_right Working, teaching and research at ETH Zurich
We value diversity
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.
Curious? So are we.
We look forward to receiving your online application including:
- a letter of motivation
- CV
- diplomas, job references / letters of recommendation
- contact details of 2 referees
Please note that we exclusively accept applications submitted through our online application portal. Applications via
email or postal services will not be considered.
Questions regarding the position should be directed via email to Prof. Dr. Jacob Ellery Corn
(jacob.corn@biol.ethz.ch). No applications via email.
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.
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.