PhD Positions in Bioinformatics: The Instituto de Investigación Sanitaria Pere Virgili (IISPV) is inviting applications for two PhD positions focused on Bioinformatics. This is an exciting opportunity to engage in research addressing environmental health risk assessments through advanced methodologies such as QSAR, PBPK modeling, OMICS, and machine learning.
Designation:
PhD Candidates in Bioinformatics
| Details | Information |
|---|---|
| Number of Positions | 2 |
| Location | Hospital Universitari Sant Joan de Reus and Parc Sanitari Joan XXIII, Tarragona |
| Research Area | Bioinformatics, Environmental Health Assessment |
| Application Deadline | Open until suitable candidates are found |
Eligibility / Qualifications:
- Essential Qualifications:
- MSc in Bioinformatics, Pharmacy, Computational Biology, Data Science, or related fields.
- Strong programming skills in R, Python, or other programming languages.
- Proven experience in one or more of the following areas:
- Machine learning approaches (Scikit-learn, XGBoost, TensorFlow)
- QSAR (OECD toolbox, QSARdb)
- PBPK modeling (Simcyp, MoBi, PK-SIM, or equivalent platforms)
- OMICS data analysis (metabolomics, transcriptomics, proteomics)
- Ability to analyze complex datasets.
- Will be valued:
- Knowledge in Toxicology, Toxicokinetics, or Systems Biology.
- Familiarity with modeling tools and programming languages.
- Good communication skills in English.
- Hands-on experience with R or Python.
- Problem-solving skills.
Description:
IISPV seeks two enthusiastic PhD candidates to contribute to research on environmental health risk assessments within a multidisciplinary environment. You will join the Insilico Vida lab, under the Tecnatox group, focusing on cutting-edge research in bioinformatics, predictive modeling, and regulatory science. Successful candidates will have opportunities to collaborate on prestigious European research projects such as PARC, ENVESOME, and MERLON.
Key Responsibilities:
- Develop and apply QSAR models to predict biological activities and toxicological endpoints.
- Design PBPK models using both in-silico and experimental data.
- Implement machine learning algorithms on datasets.
- Analyze large biological and OMICS datasets.
How to Apply:
Interested candidates must submit their application via email to vikas.kumar@iispv.cat, including the following documents:
- Curriculum Vitae (CV)
- Motivation Letter
Last Date to Apply:
Applications are accepted on a rolling basis until suitable candidates are found.
For more information about the IISPV and this opportunity, please visit: IISPV Website
