Tools
18/10/2018
Position available at the PharmacoInformatics (PhI) Group
To participate in the development and application of read-across and machine learning methods in the areas of biomedicine and computational toxicology.
Job Description:
She/he will participate in the development, implementation and maintenance of computational methods for the assessment of the toxic properties of chemical compounds. The candidate will apply similarity methods for the prediction of biological properties using read-across and machine learning methodologies. The research will be carried out in close collaboration with some of the best toxicity experts in Europe, multinational industries in the areas of pharmaceutical, cosmetic and consumer chemicals as well as representatives of regulatory bodies.
Skills and Experience:
- University degree in Informatics, Bioinformatics or related areas.
- Strong, demonstrable skills to work in Linux environments as advanced user.
- Good programming skills on Python and/or R.
- Experience with chemical formats like SMILES, SDFile, InChI. Manipulation of chemical structures using RDKit or similar toolkits.
- Experience with machine learning (numpy, scipy) and deep learning libraries and toolkits.
- Fluent in English, with good written and oral communication skills.
In addition, we will consider valuable assets:
- A master in Bioinformatics, Biomedicine or related areas will be considered a plus.
- Experience in virtual environments (e.g. VirtualBox, Docker)
- Any formal training or research experience in Chemistry, Biomedicine or Toxicology.
In addition to these skills we will value the candidate creativity, commitment and ability to integrate in a highly multidisciplinary team.
Project and Institution that finance the contract:
Universitat Pompeu Fabra – H2020-JTI-IMI2-2016 eTRANSAFE (Enhacing TRANslational SAFEty Assessment through Integrative Knowledge Management)
Benefits of the opening:
The successful candidate will be offered an initial part-time contract, for 11 months, with an annual gross salary around 24.000 EUR, with the possibility for an extension.
The PhI group lead by Manuel Pastor is a multidisciplinary team with strong experience in the development of novel computational methods and its application in the drug safety areas. Some relevant achievements in these areas include: i) the development methods for robust applicability domain and reliability indexes in the prediction of toxicological endpoints, ii) development of eTOXlab, a flexible framework for the implementation of prediction systems, iii) development of multiscale prediction systems for drug-induced QT prolongation, iv) participation in the European projects Open PHACTS, iPiE and EU-ToxRisk. Leading of European IMI and IMI2 projects eTOX and eTRANSAFE.
A description of these projects can be accessed here; a description of the group and the most recent publications can be accessed at http://phi.upf.edu.
Information on the application process:
Send CV and letter of interest, to carina.oliver@upf.edu (Ref: eTRANSAFE_MP)
Deadline to submit applications - November 2nd, 2018
Contact: Carina Oliver, Management - Research Programme on Biomedical Informatics (GRIB, IMIM/UPF)
