Savana is looking for a Biostatistician to play a key and exciting role in our fast-growing company, serving Spanish, English, German and French speaking markets. Based in our headquarters in Madrid, will participate on the challenging project of expanding Savana worldwide as well as serving our home market, Spain.   Deadline for applications: May 2019   They offer: Work with a multidisciplinary team of clinicians, computer engineers, computational linguists, mathematicians, designers, medical Natural Language Processing expert programmers and other disciplines. We are a team of professionals with a common goal: to blend the knowledge of all of us to seek excellence in our purpose. Coming from very different disciplines, we want everyone to learn from everyone, creating a unique entity that moves towards the transformation of health through Artificial Intelligence. An opportunity to provoke a positive impact. We seek to improve health on the planet through technology and to help people and health institutions. Our employees and collaborators strive to provide our users with the necessary tools and support to achieve a more accessible and egalitarian global health. We care about our environment and we are willing to improve it. An environment to express yourself as you are and enjoy what you know. We defend individuality to form a richer and more plural "ecosystem". Be yourself and tell us what you have learned and how could we use it together to help us achieve our purpose. If you like what you do, we like to work with you. Competitive salary conditions, flexible culture and a development framework to growth your career. People are our main asset, so we invest in training and development and recognize and compensate for achievements and valuable work. We trust in the talent and commitment of people and focus on objectives and results, so we are flexible in our way of working, providing a framework to reconcile our personal and professional lives.   Requirements: Fluent in English and Spanish. Degree in Statistics More than 2 years’ experience in Biostatistics. Capable of programming in R software is a must. Experience working in Clinical Research Understanding on technology, big data and AI applications in health. Excellent communication skills (verbal and written). Post-graduate degree in Biostatistics is a plus Strong foundation in coding skills relevant to statistics: R, SQL, WinBUGs, Python, etc Capable of contributing to the development of study design, the protocol and the Statistical Analysis Plan (SAP) Capable of participating in Study database design and programming Capable of analyzing data inconsistencies Experience developing of result tables, listing and figures according to SAP Experience on interpretation and presentation of clinical research results Interested on shaping the future of health, focussing on unmet medical needs. Ability to work well within a team or alone. Ability to work in a multinational, multidisciplinary and fast-growing environment. Maintain one's own strategy but adapting it to a changing and even volatile environment. Patient, flexible attitude, ability to perform under pressure. Autonomy, creativity, good capacities for analysis and organisation of work.   Contact: slumbreras@comillas.edu  

The Third edition of the València International Bayesian Summer School (VIBASS3) will take place from the 22th to the 26th of July 2019 in València (Spain). VIBASS3 is a 5-day summer school that offers an opportunity to be introduced into Bayesian learning without previous knowledge in the subject.   The five days of VIBASS are organised in three parts:   1) The first two days include a basic course on Bayesian learning (12 hours), with conceptual session and practical sessions with R packages. It would be advisable that participants bring their laptops for the practical sessions.   2) The second part is dedicated to an issue of current interest in Bayesian research.This edition is dedicated to Applied Bayesian Computation and the NIMBLE Platform for Hierarchical Modeling and MCMC. This 12 h course is provided by Daniel Turek, Assistant Professor of Statistics, Williams College and member of the NIMBLE Development Team.   3) Friday 29 is the last day of the school. It is devoted to the Third VIBASS Workshop. We will have two plenary sessions with invited speakers: Eleni Matechou (University of Kent) and Gonzalo García-Donato (Universidad Castilla-La Mancha). Attendants to the school are encouraged to present their research in an informal brainstorming as well as in a poster session.   VIBASS3 is organised by the VABAR research group and supported by Universitat de València and Biomathematics and Statistics Scotland, BIOSS.   More info in: http://vabar.es/events/vibass3/

The Interuniversity Institute for Biostatistics and statistical Bioinformatics organizes for the third time a summer school on Bayesian methods. During one week, two courses will be taught on specific topics in Bayesian methodology. The focus is on Bayesian methods that are relevant for the applied statistician. Special attention will be devoted to novel statistical methodology. In the third edition of the summer school, the following two courses will be organized in Leuven from 23 to 27 September 2019: Two-day course (23-24 September) on Advanced Simulation and Numerical Methods for Bayesian Statistics by Dr. Mark Girolami (Imperial College, London and The Alan Turing Institute, UK) Three-day course (25-27 September) on Bayesian Variable Selection Methods by Dr. Ioannis Nzouftras (Athens University of Economics and Business, Greece) The target audience of summer school are statisticians and/or epidemiologists with a sound background in statistics, but also with background in Bayesian methodology. In both courses, practical sessions are organized, so participants are asked to bring along their laptop with the appropriate software (to be announced) pre-installed.   More info in: https://ibiostat.be/seminar/summerschool2019