Job opportunities

HiWi position on metadata frameworks for toxicology and pharmacology

A HiWi position is available within the Helmholtz Metadata Collaboration project “MeSyTo - Metadata frameworks for facilitating interoperability in systems toxicology and pharmacology”

Data from chemistry, biology, informatics, health sciences and ecology need to be merged to tackle the next challenges in toxicological and pharmacological research. With the advent of OMICs technology, such as genomics, proteomics and metabolomics, large data sets become available to better understand biological systems. The corresponding metadata need to become interoperable and compliant with existing ontology-based data infrastructures of these fields. To this end, procedures need to be developed to convert metadata usually provided in text form into machine-readable formats enabling full exploitation and accessibility of such big data sets.

Your task:

• research metadata standards from the health and information technology field that can be applied to toxicological/pharmacological data and workflows
• apply such standards to data and workflows of cross-species and multi-omics analyses generated by the EU project PrecisionTox, to provide descriptive metadata from the experimental design to data deposition in repositories. 

You have:

• an interest in understanding data structures and analysis workflows in different disciplines of science
• experience in text mining tools

Our team at IBCS-BIP (KIT Campus Nord): 

The group of Carsten Weiss uses cell models and zebrafish embryos to study perturbations of signaling pathways with relevance to human health.

The group of Thomas Dickmeis uses zebrafish embryos as alternative model systems to evaluate effects of chemicals on hormones and metabolism. 

Both groups are part of the PrecisionTox consortium, which aims to advance safety assessment of chemicals without the use of animal testing. To this end, the phylotoxicology concept replaces testing in mammalian models with an evolutionarily diverse suite of non-sentient animal species from across the tree of life and explores these data to predict toxicity to humans.

Start of the project:
Immediately

Working hours and place of work:
We are flexible in the choice of weekly working hours. The work can be carried out both on-site at the Campus Nord and in the home office.

Contact: thomas.dickmeis∂kit.edu or carsten.weiss∂kit.edu