PhD Positions in Bioinformatics: The Instituto de Investigación Sanitaria Pere Virgili (IISPV) is offering two PhD positions focused on bioinformatics as part of an exciting research initiative on environmental health risk assessment. This opportunity is suited for individuals eager to engage in multidisciplinary health research within a dynamic team.
Designation
PhD Candidate in Bioinformatics
Research Area
- Environmental Health Risk Assessment
- Bioinformatics
- Predictive Modeling
- Regulatory Science
Location
Hospital Universitari Sant Joan de Reus and Parc Sanitari Joan XXIII, Tarragona, Spain
Eligibility/Qualifications
Essential Qualifications:
- MSc in Bioinformatics, Pharmacy, Computational Biology, Data Science, or a related field
- Strong programming skills in R, Python, or other programming languages
- Core knowledge and proven experience in one of the following areas:
- Machine Learning (e.g., Scikit-learn, XGBoost, TensorFlow)
- Quantitative Structure-Activity Relationship (QSAR) modeling
- Physiologically Based Pharmacokinetic (PBPK) modeling
- OMICS data analysis (e.g., metabolomics, transcriptomics, proteomics)
- Ability to analyze complex datasets
Valued Skills:
- Knowledge of 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 abilities
Job Description
Selected candidates will:
- Develop and apply QSAR models to predict biological activities and toxicological endpoints.
- Design PBPK models for predicting kinetics using experimental and in-silico data.
- Implement machine learning algorithms on PBPK models and OMICS datasets to train models.
- Analyze large-scale biological and OMICS datasets.
The candidates will collaborate in European research projects such as PARC, ENVESOME, and MERLON.
How to Apply
Interested candidates should send their CV and a motivation letter via email to vikas.kumar@iispv.cat.
Last Date for Application
Applications are open until suitable candidates are found.
This format provides a clear and concise overview of the PhD positions, facilitating easy understanding for prospective applicants.
