Postdoctoral position in Computational biology / Data Science
St. Gallen, SG, Switzerland
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.
Postdoctoral position in Computational biology / Data Science Empa's Laboratory 'Particles-Biology Interactions' and its group 'Multi-omics for healthcare materials' are looking for a candidate for an interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and integration of novel methods for replacing animal testing. The project involves collaborations with several leading European research groups and experts in the field.
Your tasks
Your profile
We are looking for a candidate with:
Beneficial skills for this position include:
Our offer
We offer:
The Postdoctoral position is for the duration of three and half years. It is based at Empa, St. Gallen and it is available from May 2024 or upon mutual agreement. The researcher will be additionally affiliated with the Swiss Institute of Bioinformatics.
We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities - that's what counts.
We look forward to receiving your complete online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.
Postdoctoral position in Computational biology / Data Science Empa's Laboratory 'Particles-Biology Interactions' and its group 'Multi-omics for healthcare materials' are looking for a candidate for an interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and integration of novel methods for replacing animal testing. The project involves collaborations with several leading European research groups and experts in the field.
Your tasks
- Large-scale data analysis, programming and statistical evaluation
- Machine learning analyses: implementation of established and new workflows
- Coordination of activities with Consortium partners, including presentation of results at consortium meetings
- Preparation of results for publishing and presentation at conferences
- Development of models for health and environmental impact assessment
Your profile
We are looking for a candidate with:
- PhD in computational biology or related field
- Background in computational biology, bioinformatics or a related field
- Strong programming and statistical knowledge, including machine learning
- Excellent communication skills with a good command of the English language
Beneficial skills for this position include:
- Familiarity with Safe and Sustainable by Design methods and tools
- Familiarity with datasets and models for health and environmental impact assessment
- Interest in mechanisms of disease development
- Expertise in network analysis
- Experience with omics data analysis
Our offer
We offer:
- A highly interdisciplinary and supportive environment with a cutting-edge research project
- Support for further career development
- A strong international network
The Postdoctoral position is for the duration of three and half years. It is based at Empa, St. Gallen and it is available from May 2024 or upon mutual agreement. The researcher will be additionally affiliated with the Swiss Institute of Bioinformatics.
We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities - that's what counts.
We look forward to receiving your complete online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Biology Data analysis Machine Learning PhD Research Statistics Testing
Perks/benefits: Career development Conferences
Region:
Europe
Country:
Switzerland
Job stats:
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