Phd Candidate in Transcriptomic Data Analysis with

1 week geleden

Maastricht, Limburg, Nederland Maastricht University Voltijd

Situated within the Department of Bioinformatics (BiGCaT) at Maastricht University, this position offers a collaborative and dynamic research environment as part of a dynamic, multidisciplinary team.

This project extends beyond borders, working with (inter)national partners from various backgrounds contributing to different aspects of the TXG-MAP project.

As a key player in this initiative, you will have the opportunity to collaborate with experts, enhancing your research capabilities and contributing to the collective success of the project.

In summary, this position involves the following tasks and responsibilities:

  • Develop and evaluate new analytical methods for transcriptomic data and interpret the results in the context of molecular adverse outcome pathways.
  • Contribute to the selection and generation of Adverse Outcome Pathway (AOP) networks relevant to liver, kidney, lung, and neuronal toxicity
  • Curate molecular pathways based on scientific literature and existing knowledge resources
  • Implement innovative gene mapping strategies to link genes to Key Events (KEs)
  • Employ quantitative (including statistical) techniques to quantify Adverse Outcome Pathway (AOP) and Key Event (KE) activity
  • Compare outputs with traditional transcriptomic data analysis methods, including pathway overrepresentation analysis and Gene Ontology enrichment
  • Ensure effective integration of gene sets, KEs, and molecular pathways
  • Develop a framework needed to evaluate the TXG-MAPr toolbox

Requirements:


also seeking guidance when needed demonstrate a well-rounded set of soft skills for this PhD position in a European-funded project.


As we recognize the pivotal role of soft skills, the following enumeration delves into the specific hard skills essential for excelling in this dynamic PhD position within the TXG-MAP project.


  • Proficiency in coding languages, particularly R and/or Python
  • Strong analytical skills for tasks involving the analysis and interpretation of largescale transcriptomic data
  • Indepth knowledge of transcriptomic data analysis, as the position involves tasks related to gene mapping, AOP network development, and molecular pathway modeling using transcriptomic datasets
  • Knowledge of biology, toxicology, chemical risk assessment, and Adverse Outcome Pathways (AOPs) will be an advantage
  • Proficiency in semantic web technologies and/or data integration is useful

What we offer

  • Good employment conditions. The position is graded in scale P according to UFO profile PhD, with corresponding salary based on experience ranging from €2770,00 and €3539,00 gross per month (based on a fulltime employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% yearend bonus apply.
  • An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow.
  • At Maastricht University, the wellbeing of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work fulltime, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.
  • As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various wellestablished initiatives such as 'acknowledge and appreciate'.The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future.

The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives.

And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to dr

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