Full-time for 18 months
The European Society for Dermatological Research (ESDR) is the largest investigative dermatology society in Europe. By supporting investigative dermatology, the ESDR contributes towards improving skin health and has supported recent scientific advances including diagnostic and therapeutic innovations in translational dermatology. A new ESDR initiative is the formation of the Skin Science Foundation (SSF) to drive new Big Data initiatives in next generation healthcare as it applies to dermatology.
As a first major step in this ambition, the ESDR/SSF are working with Prof Richard Scheuermann and his team at the J. Craig Venter Institute in La Jolla, California, USA. The ambition is to embark on a concerted effort to develop informatics tools and freely-accessible datasets to advance skin research and to develop next-generation skincare using Big data sources and cutting-edge computational approaches.
As part of these efforts, we are seeking a motivated post-doctoral candidate who will work on site (or at distance) with the team of data scientists and bioinformaticians within the laboratory of Prof Richard Scheuermann for a period of 18 months. In addition to experience with Omic data analysis, the candidate must have basic knowledge in skin biology and disease pathways linked to inflammatory and hyperproliferative skin conditions such as psoriasis, eczema and/or cancer. The post will involve translational bioinformatics, which will include curation and analysis of Big Data sets derived from both new and existing Omics data. These datasets will have relevant linkage to electronic medical records and real-life measurements in order to uncover early perturbed networks, actionable opportunities and identification of predictive markers for skin disease.
Postgraduate – Doctorate/PhD or MD, PhD
Application deadline: 31 March 2019
An employment application must contain the following documents in English to Thomas Florestan, Executive-Director, ESDR (email@example.com):
1. A personal letter highlighting previous scientific accomplishments and technical expertise
2. A complete curriculum vitae, including date of thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
3. A complete list of publications
4. A summary of current work (no more than one page)
5. Name, position and email of two referees