Grants, Internships and Employment

Postdoctoral research fellow position – Berlin
Humboldt University of Berlin - 3 years with possible extension Research on mathematical and statistical aspects of Bayesian statistical learning approaches and novel methods towards high-dimensional distributional models. *Starting date: As soon as possible More details...
REFERENCE: CINBIO20-10. 3 RECOGNIZED RESEARCHERS, PI JUNIOR CINBIO aims at generating first class science; training in values of excellence and make returns to the society, under a multidisciplinary approach. It is working on basic, applied and clinical research, to address prevention, diagnosis and therapy in Biomedicine. They are opening a new strategic roadmap with four main strategic areas: Molecular medicine / Nutrition and Wellness / Nanomaterials / Bio-statistics and Health informatics and intelligent systems. There are 14 research leaders in the areas of Applied Physics / Biomass and Sustainable Development / Analytical & Food Chemistry –Biotoxins- / Colloid Chemistry and Nanophotonics / Magnetic Materials / Nanocatalysis and biosensors / Organic Chemistry / Neuroscience / Endocrinology / Rare Diseases/ Immunology / Evolutionary and Biomedical Genomics / Next Generation Computer Systems / Biostatistics and Epidemiology. Profile: The Biomedical Research Center (CINBIO) offers up to 3 full-time positions RECOGNIZED RESEARCHERS, PI JUNIOR. Requested: Candidates must have postdoctoral research experience with a very good publication track record. CINBIO wants to attract and retain young talent to further develop its strategic lines of research. Skills: - Willing to build up on our strengths, and driven to become PIs established researchers in 1-2 years time. - Able to lead in executing collaborative research projects in cooperation with colleagues and project partners. - Publishes in high impact journals with a relevant role. - Committed to professional development of his/her own career and acts as mentor for PhD and Master students.   For more information download the PDF or visit  
Postdoc position “Statistics of Compound Events”. University of Bern, Switzerland
The Institute of Mathematical Statistics and Actuarial Sciences and the Oeschger Centre for Climate Change Research, University of Bern, Switzerland invite applications for the following position opening February 1, 2020. Postdoc “Statistics of Compound Events” University of Bern, Switzerland (80-100%, 2 years plus 1 year extension) Compound weather and climate events refer to multiple climate events that potentially cause large societal impacts. The analysis and prediction of compound events pose substantial challenges from a statistical perspective. The prospective PostDoc will work at the interface of the development of statistical methods and their application to current topics of high interest in climate and weather applications. Potential topics include the evaluation of predictions for (joint) extreme events, the evaluation of multivariate or spatial predictions, and the calibration (or ``bias-correction'') of multivariate predictions. The PostDoc will be a part of the group of Prof. Dr. Johanna F. Ziegel (Institute of Mathematical Statistics and Actuarial Science). Close collaboration is planned with the group of Dr. Jakob Zscheischler (Climate and Environmental Physics KUP), and with the group of Prof. Dr. Olivia Romppainen-Martius (Institute of Geography). The position is ideally suited for a young researcher in statistics to become an expert in statistics for climate science and weather applications. Profile of the candidate The successful candidate holds a PhD in Statistics and has a strong interest in climate and weather applications, or he/she holds a PhD in Climate or Atmospheric Science, Meteorology or similar with a very good background in statistics. She/he has excellent programming and data handling skills, and a keen interest in interdisciplinary research. The candidate is proficient in English, both written and spoken. Details Starting date: February 1, 2020 or upon agreement. Employment conditions and remuneration in accordance with the standards of the University of Bern, Switzerland. The salary ranges between 88,00 and 100,000 CHF p.a. (gross salary; ca 90-100 k US$). For further information please contact Prof. Dr. Johanna F. Ziegel ( Applications All applications received before January 1, 2020 will be reviewed, and further applications will be considered until the position is filled. Please send your application documents including a CV, a motivation letter, and contact information for 3 references by e-mail to . Homepage: and  
Faculty Positions in Statistics and Data Science
The Faculty of Engineering and Sciences of Universidad Adolfo Ibáñez has great pleasure in inviting researchers to apply for up to four (4) open rank faculty positions in the area of Statistics to start on March 1st 2020.   Deadline Applications: October 15th, 2019   Job description FES seeks outstanding researchers who have expertise in both theory and applications, and who show great interest in working with real data. The hiring committee especially encourages applications from scholars working in the areas of machine learning, statistical learning theory, algorithm design, statistical computing, Bayesian statistics, text analytics, big data analytics, high-dimensional statistics or spatial analytics. Faculty members at FES are expected to teach undergraduate and graduate courses related to statistics and related fields, in Spanish and/or English, supervise theses, conduct high quality research, publish in top international journals, submit research proposals to national, international and multinational funding organizations, and participate in outreach activities. FES also encourages and welcomes technological transfer and research in collaboration with the industry and the government. The salary depends on the qualifications of the chosen candidate. As a reference, a starting Assistant Professor should expect a basic annual remuneration ranging between US$ 48.000 and US$ 65.000 (before taxes). This salary does not include potential stipends from grants, startup packages or research contracts. Candidates need not be fluent in Spanish at the moment of applying. They must have excellent oral and written communication skills, a great aptitude for teamwork, and a marked academic interest in high quality education and research. Requirements include a PhD degree in a field related to Statistics or Data Science. At FES we believe that diversity broadens our research scope and enhances the quality of our education, so we highly encourage women, international scholars and minorities to apply for this position.   More info in: Statistics2019-1
Statistician. Forestry Commission. Roslin, Scotland.
Closing date: 17 Sep 2019 Civil Servant position
Post-doc position in applied Bayesian statistics
Location: Anglet (France) Duration: 1 - 3 years Gross Salary: 2999 €/month Topic: develop and apply modern Bayesian methods to address problems in ecology and environmental sciences that involve complex data Laboratory: BIGCEES team (Big model and Big data in Computational Ecology and Environmental Sciences) More details: POST DOC POSITION IN APPLIED BAYESIAN STATISTICS
Post-doctoral research fellowship in modelling of the immune response to Ebola vaccine. Bordeaux, France.
One postdoc position is available to work on the modelling of the immune response to Ebola vaccine at Inserm U1219 Bordeaux Population Health Center, Statistics in Systems and Translational Medicine team (SISTM) in Bordeaux (France) for a minimum period of 18 months. Deadline for Application is October 1st 2019. PostdocEBOVAC3_SISTM2019_Bordeaux  
Postdoctoral Fellowship in Applied Statistics at the BCAM
BCAM, the Basque Center for Applied Mathematics ( has opened a postdoctoral position in Applied Statistics. The successful applicant for this position is expected to work with methodological development and applications in topics related to semiparametric and nonparametric regression and sparse/regularised regression, including spatial and spatio-temporal statistics and functional data analysis. The deadline is August 20th, 2019. For inquiries please contact: Maria Xose Rodriguez Alvarez ( Duration: 1 year (with possible extension) Deadline: August 20th 2019,13:00 CET(UTC+1). See full details at: How to apply: Applications must be submitted on-line at
Job offer: Biostatistician
Applications deadline: 23/06/2019 12:00:00   The Genetic and Molecular Epidemiology Group at the Spanish National Cancer Research Centre (CNIO) is a multidisciplinary team that focuses on both methodological and applied aspects of research into the genetic and environmental aetiology of bladder, pancreatic and breast cancer. Their aim at modelling the factors involved in cancer risk and clinical course by integrating epidemiologic, genetic, omics and clinical data. The group participates in a number of large international consortia, taking a leading role in the design, implementation and analysis of association studies of these three diseases.   They are seeking a high qualified Biostatistician to assist and complement the group on its statistical skills and needs, as well as to provide advice on study design and assistance with analyses.   Roles and responsibilities: - Carrying out statistical analyses, including multivariate analysis of high throughput experimental data, data mining and classification problems. - Interpreting and explaining results from analyses, including the written reporting of methods and results. - Providing statistical advice to the members of the group and their collaborators. - Providing basic training in statistical methods. - Develop and maintain close liaison with Study partners both external and internal to drive data management aspects of project delivery.   CNIO Statistician Position Announcement   More info about it in:
Job offers BCAM
Applications deadline: 21/06/2019 IC2019_KTU Data Science Research Technician(239 KB) Statistics (regression methods, time series, survival analysis, multivariate analysis, clustering methods), Machine Learning techniques (e.g.: neural networks, random forests, decision trees, etc.). application website: IC2019_KTU CFD Research Technician(238 KB) Computational Fluid Dynamics (CFD): Finite Volume Methods (FVM), Finite Element Methods (FEM) or Smoothed Particle Hydrodynamics (SPH). Numerical methods for soling compressible and incompressible flows and multi-phase simulations. Eulearian and Lagrangian fluid models, CFD applied to Advanced Manufacturing (Industry 4.0), Energy Sector or Biomedical sector. application website:   About BCAM Knowledge Transfer Unit (KTU): The aim of the KTU is to develop mathematical solutions for scientific challenges based on real-life applications. One of BCAM's most important missions is to spread knowledge and technology in the industry and the society in general. It is critical for the Basque Center for Applied Mathematics to transfer the obtained research results to sectors as biosciences, health, energy, advanced manufacturing, telecommunications and transport, including local, national and international entities. For further information, please visit the website:  BCAM KTU
PhD Position
A 3-year scholarship is offered to develop new statistical methods applied to Biodosimetry, in the PhD program in Mathematics at the Universitat Autònoma de Barcelona (UAB).   It is a multidisciplinary project between the UAB and the Institut de Radioprotection et de Sûreté Nucléaire (IRSN). The selected person would spend 50% of the period at the UAB and 50% at the IRSN, obtaining the doctorate with "international mention".   If you are interested, please send your CV to P. Puig ( or to Sophie Ancelet (   More info: PhD_project_UAB_IRSN
PhD position in statistical ecology. Lille, France.
a PhD position in statistical ecology is available at the Evo-Eco-Paleo lab (Lille, France), starting October 2019. We already posted the position on several lists a few months ago, but we have had very few responses so far. The new deadline for answering is May 20th. The following advertisement is in English and French. Please spread the word and sorry for cross-posting. Cheers, François Massol **** Assessment of plant-pollinator networks via metabarcoding approaches: evaluation, comparison with classic approaches and optimization to propose a next-generation biomonitoring protocol   Location: Unité Evolution, Ecologie & Paléontologie (EEP), CNRS UMR 8198, Université de Lille, Bâtiment SN2, F-59655 Villeneuve d’Ascq cedex, France   Theme: In a recently published opinion (Bohan et al., 2017, Trends in Ecology & Evolution, 32, 477-487), the implementation of next-generation biological monitoring approaches has been proposed as a cost-effective tool to detect ecosystem changes accurately and generically at a global scale in the next decade. With such an approach, Next-Generation Sequencing (NGS) of DNA would provide the relative abundances of operational taxonomic units or ecological functions in the various environments of the planet Earth. Machine-learning methods would then be used to reconstruct ecological networks of interactions from these raw data from NGSs and relate them to different environmental parameters in order to detect and predict changes in ecosystems. As part of the ANR project “Next Generation Biomonitoring of change in ecosystems structure and function” (ANR NGB, principal investigator: David Bohan, INRA Dijon; coordinator for the University of Lille: François Massol), we seek to develop and test protocols based on NGS approaches to predict the structure of ecological interaction networks and hence the quality of the functioning of ecosystems and the services that depend on them.   The thesis proposed aims more particularly at developing inferential approaches on plant-pollinator networks, in continuation of studies conducted at the Evo-Eco-Paléo laboratory (ANR ARSENIC 2014-2018 and Climibio project on plant-pollinator networks in the Lille metropolis). The student’s work will consist in analyzing metabarcoding data obtained on pollen carried by previously captured insects (two capture methods were used: active capture using insect nets and passive capture using attractive pan traps), developing learning methods for reconstructing interaction networks using machine learning from molecular data, evaluating their efficiency compared to conventional methods, by comparing the networks obtained using conventional vs. NGS approaches, using the data thus obtained to assess structural differences between urban and semi-rural plant-pollinator networks, as well as the exploitation of native and non-native floral resources by pollinators in urban areas, issuing recommendations for management and monitoring structures of natural areas concerning the use of such protocols to qualify the proper functioning of terrestrial ecosystems. The traditional capture data (hand nets and pan traps) have already been collected, and the NGS data on the sites of the Lille metropolitan area will be obtained in 2019, around the beginning of the thesis.   The work of the PhD student will be fully integrated into the dynamics of the NGB project, which will naturally lead him to collaborate with the different partners of the project, both for the development of methodological and statistical aspects (UMR MIA, AgroParisTech-INRA Paris and Imperial College, London) or the reflection on molecular techniques and bioinformatics (UMR BioGeCo, INRA Bordeaux), but also in the framework of regular meetings allowing the other three PhD students of the project (Dijon, Paris, Rennes) to discuss their respective topics and share their experience learning molecular data networks.   Key words: bioinformatics; machine learning; network reconstruction and analysis; next-generation sequencing   PhD supervisors: François Massol (, DR CNRS, UMR8204 CIIL and UMR8198 EEP, Lille Nina Hautekèete (, PR University of Lille, UMR8198 EEP, Lille Céline Poux (, MCF University of Lille, UMR8198 EEP, Lille   Other local collaborators: Anne Duputié, MCF University of Lille, UMR8198 EEP, Lille Yves Piquot, MCF University of Lille, UMR8198 EEP, Lille Anne-Catherine Holl, Technician University of Lille, UMR8198 EEP, Lille Cécile Godé, Assistant engineer CNRS, UMR8198 EEP, Lille Sophie Gallina, Research engineer CNRS, UMR8198 EEP, Lille   Funding: funding for the work to be performed is already acquired (ANR NGB) half of the PhD studentship is already obtained (ANR NGB) the other half of the studentship will be asked from the doctoral school SMRE (   Profile: We are looking for a highly motivated candidate having a primary interest in applied statistics and ecology. The ideal candidate will also have good capacities for bioinformatics and/or experience in ecological/evolutionary data analyses, especially dealing ecological networks. Prior experience with molecular ecology techniques (metabarcoding in particular) will be appreciated. Finally, the candidate should have obtained good marks and ranking at the master’s degree.   Because of the project’s interdisciplinary nature, we are open to applicants from ecology/evolution, statistics, computer science and related areas.   Interested applicants should have a look at and for information about the project and the laboratory.   Contact: Please send your application to François Massol ( and Céline Poux ( This should include (1) a detailed CV, (2) a cover letter putting forward relevant training, (3) a copy of grades and rank for both the master degree (first and second-year marks), (4) name and contact information of two reference persons. We recommend that you send your application as soon as possible and by no later than May 20th 2019. Review of applications will begin immediately and continue until the position has been filled.   Starting date: October 2019  
Oferta de empleo
OFERTA DE CONTRATO DE TITULADO SUPERIOR   PROYECTO: Diseño Óptimo de Experimentos Aplicado a la Industria Agroalimentaria, Farmacéutica y Metalmecánica financiado por el la Consejería de Educación, Cultura y Deportes de la Junta de Comunidad de Castilla-La Mancha.   Requisitos: Diplomatura y/o licenciatura/grado y/o máster y/o doctorado. Preferencia en Estadística, Matemáticas o cualquier otra con base estadística sólida. Objetivo general: Realización de tareas de colaboración en el proyecto de investigación. Duración de contrato: Un año (desde el 15 de junio de 2019 hasta el 15 de junio del 2020). Plazo: Desde la publicación de la convocatoria, hasta el día 20 Mayo 2019. Solicitudes: Quienes deseen tomar parte en esta convocatoria deberán presentar solicitud electrónicamente, cumplimentando el modelo disponible en la página de internet, de acceso público, de la Universidad de Castilla-La Mancha:, o accediendo directamente desde la página principal de la Universidad ( ) ,INVESTIGACIÓN, CONVOCATORIAS, CONVOCATORIAS DE PERSONAL CON CARGO A PROYECTOS DE INVESTIGACIÓN. Ref.: 2019-COB-9325 Lugar de trabajo: Grupo de investigación Diseño Óptimo de Experimentos en el campus tecnológico “Fábrica de Armas” de Toledo. Contacto: Los candidatos interesados pueden contactar con Dr. Raúl Martín Martín (    Más información: CONVOCATORIA 2019-COB-9325
Job offer: Biostatistician
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:  
Research engineer in biostatistics applied to ecotoxicology – Lyon, France
Note that this is a permanent position. The aim of the project is to revisit species sensitivity distribution (SSD) methods in the context of environmental risk assessment of pesticides on non-target terrestrial plants (NTTP). Details are given here: Candidates must apply directly on-line.
Oferta de Empleo BIOSTATECH S.L.
Biostatech, S. L., empresa de bioestadística (spin-off de la Universidad de Santiago de Compostela), busca un profesional con experiencia en actividades de asesoramiento en estadística para realizar una sustitución por maternidad durante 6 meses (abril-septiembre de 2019).   Descripción del puesto: Realización de asesoramiento estadístico en trabajos de investigación y/o estudios para empresas.   Perfil demandado: Doctor, licenciado o graduado con Máster en Estadística o Bioestadística. Preferiblemente (no excluyente) con base de formación en matemáticas, estadística, física, biología o informática.   Méritos generales de valoración: • Experiencia previa en actividades de asesoramiento estadístico. • Experiencia en la elaboración de informes técnico-científicos. • Manejo avanzado de R. • Conocimientos de diversas técnicas y metodologías: diseño experimental, modelos de regresión avanzada, análisis de supervivencia, modelos mixtos, curvas ROC, etc… • Capacidad de trabajo en equipo, y trato agradable. • Buen nivel de inglés.   Plazos: • Límite de recepción de solicitudes: 22 de marzo de 2019. • Envío de CVs a la dirección de gerencia: y/o   Más información en:  
Contrato de Titulado Superior, para su incorporación al Centro de Investigación del Cáncer de Salamanca
CONTRATO DE TITULADO SUPERIOR, PARA SU INCORPORACIÓN AL Centro de Investigación del Cáncer (CiC-IBMCC, USAL/CSIC) de SALAMANCA, FINANCIADO POR EL PROYECTO EUROPEO "EU PROJECT 737390 – ARRESTAD" – H2020.  REF: 19-4-JRTS   ● Requisitos: Master en área de Biotecnología, Biología, Bioestadística, Bioinformática o Ingeniaría Informática (Titulado Superior / Grado) con experiencia (demostrable) de trabajo en Bioinformática o Biología Computacional.   ● Objetivos Específicos: Análisis de datos genómicos de ultra-secuenciación (NGS) de muestras humanas y de pacientes. Desarrollo y aplicación de software y herramientas computacionales para análisis bioinformáticos de datos genómicos y proteómicos e identificación de genes/proteinas marcadores causales y redes reguladoras asociadas a enfermedades neurodegenerativas (principalmente Alzheimer, AD) y también a cáncer (CC).    ● Se valorarán otros aspectos: – Media de expediente académico en la Titulación requerida ≥ 7/10. – Conocimiento de Inglés a nivel de B2 o superior. – Se valorará experiencia y conocimientos en lenguajes de programación y computación, particularmente en R (y Bioconductor) y también en shell-scripts de UNIX, Phyton, SQL (avalada). – Se valorará si el candidato tiene experiencia de trabajo en un laboratorio en análisis de datos ómicos (genómicos, transcriptómicos, proteómicos, etc).    ● Tipo de contrato y PLAZO: Dos años. Inscripción en la oferta de empleo  REF: 19-4-JRTS en, apartado Convocatorias de Personal. Plazo de presentación de solicitudes: Hasta el 14 de marzo de 2019   Contacto: Dr. Javier De Las Rivas (
Postdoctoral fellow in Statistics at Humboldt-Universität zu Berlin
We have an opening for a postdoctoral position for 1,5 years (starting between 1. April and 15. June, 100% TV-L E 13) at Humboldt-Universität zu Berlin. This position is funded by the “Gleichstellungfonds” to increase equal opportunities for  women in research and teaching. Job description:  Scientific research and teaching at the Chair of Statistics. Research topics in the working group include statistical methods for complex data such as functional data, densities, shapes and images; flexible regression models; longitudinal data analysis and  joint models for longitudinal and time-to-event data; post selection inference. Task for the acquisition of third-party funding.   Requirements:  Completed PhD in statistics, mathematics or a related field with statistical methodological focus; interest in the development of statistical methods and in interdisciplinary collaborations; good communication skills; very good knowledge of English; programming  experience (preferably in the statistical software package R).   Application: until 14.  March 19 Please send your application (including a motivation letter, an  academic curriculum vitae and contact information for two academic references), quoting the reference number AN/071/19 and the subject Postdoc in statistics to the Humboldt-Universität zu Berlin, School of Business and Economics, Prof. Dr. Sonja Greven, Unter den Linden 6, 10099 Berlin or preferably as a PDF file (no larger than 10 MB) to Further enquiries can also be addressed to her.   Prof. Dr. Sonja Greven will take over the Chair of Statistics  at HU Berlin on 1. April 2019. Information on the research profile of the working group can be found at HU is seeking to increase the proportion of women in research  and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply.  Since we will not return your documents, please submit copies in the application only.   The official job advertisement can be found at
1 Plaza de Metodólogo. INIBICA
Envío de solicitudes: hasta el 04/03/2019 a las 13:00 horas. La Fundación para la Gestión de Investigación Biomédica de Cádiz, entidad de apoyo y gestión de la investigación, dependiente de la Consejería de Salud de la Junta de Andalucía, precisa incorporar para Cádiz, un/a profesional con el siguiente perfil:   1 Plaza de Metodólogo   Funciones a realizar durante el contrato: Asesoramiento  metodológico en el diseño de proyectos de investigación. Diseño de trabajos de investigación. Diseño y Análisis estadístico . Asesoría sobre interpretación de resultados. Asesoramiento en redacción científica. Revisión de artículos científicos. Asesoría en el diseño de bases de datos. Asesoría sobre comunicación y difusión científica . Realización de búsquedas bibliográficas y elaboración de informes.   Perfil buscado: 1. Requisitos mínimos • Titulación superior . • Experiencia en metodología de investigación y análisis estadístico • Inglés avanzado   2. Méritos valorables • Experiencia  en  el desempeño  de  actividad es  en  centros  o  institutos  de investigación. • Experiencia en tareas o puestos similares. • Conocimiento de epidemiología y bioestadística. • Imprescindible experiencia y formación certificada.   Para  solicitar  incorporarse  al  proceso  de  selección  e  introducir  los  datos curriculares necesarios, los interesados deberán dirigirse a la siguiente dirección de correo electrónico: , especificando en el asunto la Referencia: 01/19 - Met Más información en:
Postdoctoral Fellowship in Applied Statistics at the BCAM
Postdoctoral Fellowship in Applied Statistics at the BCAM (Basque Center for Applied Mathematics, Bilbao) Topics: Semi-parametric and non-parametric Regression, Spatial and Spatio-temporal Modelling, Random-effects Models, Computational Statistics, Bayesian Statistics, Sparse regression, Functional Data Analysis, Survival Analysis. Principal Investigator in charge: Dae-Jin Lee Salary and conditions: The gross annual salary of the Fellowship will be 28.000 - 32.000€. It will then be on your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency. There is a moving allowance for those researchers that come from a research institution outside the Basque Country from EUR 1.000 to EUR 2.000 gross. Free access to the Public Health System in Spain is provided to all employees. No Positions offered: #1 Contract and offer: 2 years Deadline: February 28th 2019, 15:00 CET (UTC+1) More info: How to apply: Applications must be submitted on-line at
Postdoctoral Fellowship in Applied Statistics at the BCAM
Postdoctoral Fellowship in Applied Statistics at the BCAM (Basque Center for Applied Mathematics, Bilbao) Topics: Semi-parametric and non-parametric Regression, Spatial and Spatio-temporal Modelling, Random-effects Models, Computational Statistics, Bayesian Statistics, Sparse regression, Functional Data Analysis, Survival Analysis. Principal Investigator in charge: Dae-Jin Lee Salary and conditions: The gross annual salary of the Fellowship will be 28.000 - 32.000€. It will then be on your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency. There is a moving allowance for those researchers that come from a research institution outside the Basque Country from EUR 1.000 to EUR 2.000 gross. Free access to the Public Health System in Spain is provided to all employees. No Positions offered: #1 Contract and offer: 2 years Deadline: February 28th 2019, 15:00 CET (UTC+1) More info: How to apply: Applications must be submitted on-line at
Postdoctoral position at INSERM, France. Epidemiology/Statistics.
Duration: 1 year (renewable up to 3) Starting date: 1st of April 2019 We are looking for a post-doctoral researcher to join our dynamic teams to work on the PoCoMo project, a 4-year funded project by ANR (France) and aiming to evaluate the associations between air pollution and cognition in the large CONSTANCES cohort. The researcher is expected to actively participate in the analyses, do a systematic review of the literature, data management and analysis, coordination of data collection, writing scientific papers and training master and pre-doctoral students. A strong epidemiological and/or statistical background is required.
Postdoc position- INIBICA
We are looking for researchers with extensive postdoctoral and international experience to join INIBICA within the Talentia Senior program with salaries ranging between 62,000 and 92,000 euros. For more information contact with our project management department or write to  More info in:  
POSTDOC in Statistical modelling of ecosystem services
One year position (possibly once renewable) in Rennes, France Application deadline: 18 January 2019 Postdoc Position_Quanticontrol
Contrato de Investigación CIC de Salamanca
CONTRATO DE TITULADO SUPERIOR, PARA SU INCORPORACIÓN AL Centro de Investigación del Cáncer (CiC-IBMCC, USAL/CSIC) de SALAMANCA, FINANCIADO POR EL PROYECTO EUROPEO "EU PROJECT 737390 – ARRESTAD" – H2020.  REF: 18-23-JRTS ● Requisitos: Master en área de Biotecnología, Biología, Bioestadística, Bioinformática o Ingeniaría Informática (Titulado Superior / Grado) con experiencia (demostrable) de trabajo en Bioinformática o Biología Computacional. ● Objetivos Específicos: Desarrollo y aplicación de software y herramientas computacionales para análisis bioinformáticos de datos genómicos y proteómicos e identificación de genes/proteinas marcadores causales y redes reguladoras asociadas a enfermedades neurodegenerativas (principalmente Alzheimer, AD) y también a cáncer (CC). Análisis de datos genómicos de ultra-secuenciación (NGS) de muestras humanas y de pacientes. ● Se valorarán otros aspectos: – Media de expediente académico en la Titulación requerida ≥ 7/10. – Se valorará también experiencia y conocimientos en lenguajes de programación y computación, particularmente shell-scripts de UNIX, R, Phyton, SQL (avalada). – Se valorará si el candidato tiene el título de Doctor si en su Tesis Doctoral ha trabajado en el campo de Bioinformática y Biología Computacional. ● Tipo de contrato y PLAZO: Dos años. Inscripción en la oferta de empleo  REF: 18-23-JRTS en, apartado Convocatorias de Personal. Plazo de presentación de solicitudes: Hasta el 25 de octubre de 2018 Contacto: Dr. Javier De Las Rivas (
International Call for one Post-Doctoral position
International Call for one Post-Doctoral position, for employment in public functions in the regime of defined resolutive term contract. Application deadline: 26/10/2018. Area of Studies: Mathematics, Statistics or other related areas. Research Project: POCI-01-0145-FEDER-029443 - SHSADReM - Addressing Social and Health Challenges through new developments in Structured Additive Distributional Regression Models. Job Description: The Investigator will participate directly in the four nuclear modules that comprise the SHSADReM project. Two of the modules will be methodology-based, focusing on the field censored and multivariate distributional regression models and distributional Rasch regression models. Two will be applied in nature where primary data will be used to analyze how the exercise of citizenship is expressed by secondary school teachers in Portugal and to identify which factors are determinant for decision-making in terms of women’s health within a breast cancer screening program. The Investigator’s activities will include: the development of methodologies for various areas in the project, the analysis of results, the gathering and analysis of bibliographical sources, the elaboration of reports, the writing of scientific outputs and editing of academic articles for publication as a team member, assistance in coordinating and accompanying diverse activities within the project, the presentation of communications at scientific events both nationally and internationally, and the potential submissions of applications to R&D projects. Summary of the General Conditions: 3-Year contract, with a monthly salary of 2,128.34€ before taxes (14 payments of net monthly salary per year). Place: University of Coimbra.   For more information, please consult the attached files and/or the following links: IT057-18-7397: Eracareers:
Beca FPI con cargo al proyecto MTM2017-82553-R
Anuncio Beca FPI con cargo al proyecto MTM2017-82553-R "NUEVOS RETOS EN LA MODELIZACION ESPACIO-TEMPORAL CON APLICACIONES EN SALUD, VIOLENCIA DE GENERO Y TELEDETECCION" INVESTIGADORA PRINCIPAL:  MARÍA DOLORES UGARTE MARTÍNEZ. Contacto e-mail: Dpto de Estadística, Informática y Matemáticas, Universidad Pública de Navarra Las ayudas tienen como objeto la formación de doctores mediante la financiación de contratos laborales, bajo la modalidad de contrato predoctoral, del personal investigador en formación en centros de I+D, que deseen realizar una tesis doctoral asociada a un proyecto de investigación financiado por las ayudas para proyectos de I+D del Subprograma Estatal de Generación de Conocimiento en el marco del Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia o por las ayudas para proyectos de I+D+I “Retos Investigación” del Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, respectivamente en sus convocatorias 2017. El plazo de presentación de solicitudes es desde el 9 al 29 de octubre de 2018  a las 15 horas (hora peninsular española). Las solicitudes deberán hacerse de forma telemática a través de los medios electrónicos habilitados en la sede electrónica del Ministerio. Podrán ser solicitantes todas aquellas personas que estén matriculados o hayan sido admitidos en un programa de doctorado, para el curso 2018/2019. Las ayudas comprenderán tres conceptos: la ayuda para la financiación de los contratos, la ayuda para la realización de estancias en centros de I+D y la ayuda para financiar los gastos de matrícula en las enseñanzas de doctorado.Se autorizará una  ayuda de 6.250 euros por cada investigador contratado que se podrá destinar a la ayuda para la realización de estancias en centros de I+D y  para financiar los gastos de matrícula en las enseñanzas de doctorado. La cumplimentación y presentación de la solicitud deberá realizarse obligatoriamente a través de los medios electrónicos habilitados para ello en la sede electrónica del Ministerio de Economía y Competitividad. La aplicación de solicitudes estará disponible en la sede electrónica. Cada solicitante podrá presentar únicamente una solicitud. Cada solicitud vendrá referida a un proyecto de investigación. Más información sobre la convocatoria:
Research Fellow / Bioinformatician
Research Fellow/Bioinformatician , - Ref:1736224 - UCL Institute of Neurology, Department of Clinical and Experimental Epilepsy, London Duties and Responsibilities: An exciting opportunity has arisen for a research fellow/bioinformatician to work on genomics in the epilepsies as part of a translational genomics programme under the supervision of Professor Sanjay Sisodiya. The appointee will be part of a growing ground-breaking genomics programme, which will use a large genomic dataset with very detailed phenotypes in order to realise translation of personalised medicine for people with epilepsy. The post is based at the well-known Chalfont Centre for Epilepsy with translational research facilities and onsite laboratories. The main purpose of the post is to advance understanding of the epilepsies through detailed clinical, investigational and genomic evaluation in a large cohort of people with well-characterised epilepsies. S/he will be responsible for the statistical analysis and the scientific interpretation of data. S/he will provide bioinformatics advice and support to other group members from different disciplines (and in return, will receive advice from other disciplines). S/he will be involved in research on the genomic and clinical data generated within the group, aiming for clinical application, and also as a result of collaboration with UCL Synaptopathies initiative group, and other national (e.g. Genomics England 100,000 Genomes project) and international initiatives. Key Requirements: The successful candidate will hold a PhD qualification in Genetics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline and will have extensive experience in biological sequence analysis, and analysis of large genome-wide datasets. A track record of published research in statistical and/or population genetics is essential and general knowledge of neurology / epilepsy is desirable.  Closing Date: 1 Nov 2018 More info in:
Oferta de Empleo ITMATI-OT-10-2018
PROYECTO: Predictive Cognitive Maintenance Decision Support System (PreCoM). REFERENCIA DE LA OFERTA: ITMATI-OT-10/2018. DESCRIPCIÓN DEL PUESTO: 1 contrato a tiempo completo como investigador/a para el proyecto PreCoM, financiado en la convocatoria H2020-FOF-2017. El Instituto Tecnológico de Matemática Industrial (ITMATI) forma parte del consorcio que ejecuta el proyecto. PERFILES DE LOS CANDIDATOS: Graduados/as, licenciados/as, másteres y doctores/as en matemáticas, estadística u otras titulaciones afines, con conocimientos avanzados en metodología y computación estadística. TRABAJOS A REALIZAR: Análisis estadístico de los datos relacionados con la temática del proyecto (fiabilidad de sistemas). Desarrollo y selección de los mejores modelos estadísticos predictivos para los objetivos del proyecto. Implementación de los modelos seleccionados y realización de predicciones para el mantenimiento y mejora del sistema en la infraestructura que se desarrollará en el marco del proyecto. ENVÍO DE SOLICITUDES: Antes del 1 de Octubre de 2018 a las 14:00 horas Más información en:
postdoctoral position on the Malaria Atlas Project, Oxford
The Malaria Atlas Project is opening a postdoctoral position in Oxford in geospatial modelling toward collaborating with other scientists to develop probabilistic maps of malaria risk at national and sub-national level to evaluate the efficacy of past intervention strategies and to assist with the planning of future interventions. An understanding of spatiotemporal modelling and expertise in geostatistics, random-field models, or equivalent are essential. An understanding of the epidemiology of a vector-borne disease such as malaria is desirable but not essential. You must have a PhD or equivalent experience in mathematics, statistics, biostatistics, or a similar quantitative discipline. You will contribute to and, as appropriate, lead in the preparation of scientific reports and journal articles for publication of research findings from this work in open access journals. Travel to collaborators in Europe, the United States, Africa, and Asia will be part of the role. This full-time position is fixed-term until 31 December 2019 in the first instance. The closing date for this position will be 12.00 noon on Wednesday 17 October 2018.
Postdoc position – Individual-based modeling in ecotoxicology
We have an open position for a postdoc at INRA Avignon, France, on individual-based modeling in ecotoxicology. Duration: 2 years. Objective: Development of a spatiotemporal model to quantify risks to non-target Lepidoptera associated with the ingestion of genetically modified Bt-maize. Details about the offer and application procedure: Thank you for forwarding this offer to potential applicants and relevant networks.
Postdoc position in Spatial Statistics. Pamplona, Spain
The Spatial statistics research group of the Public University of Navarre offers a Pos-doc position for 2.5 years . The deadline of application isthe 20th of September 2018. PhD in mathematics, statistics, information technology or engineers are welcome. More information (in Spanish) in -- Prof. M. Dolores Ugarte (Lola Ugarte) (co)-Editor of the journal TEST ( Statistics, Computer Science, and Mathematics Public University of Navarre Campus de Arrosadia 31006 Pamplona, Spain. Phone: 34-948169202 Fax:   34-948169204
Principal Statistician/Modeller for Environmental Science at BioSS. James Hutton Institute, Aberdeen.
BioSS have an opening for an experienced statistician or modeller! This is a permanent position, based with BioSS at @JamesHuttonInst in Aberdeen: Principal Statistician/Modeller for Environmental Science. See  for more details! Apply by: 24/9/18
job opportunity using R-INLA at Univ Bristol
Research Associate/Senior Research Associate in Sea Level Research, University of Bristol Job number ACAD103548 Division/School School of Geographical Sciences Contract type Open Ended Working pattern Full time Salary £32,548 - £36,613 per annum on Grade I or £36,613 - £41,212 per annum on Grade J Closing date for applications 08-Oct-2018 This position is part of a five-year European Research Council grant (GlobalMass, including four other positions, which together tackle the challenge of assessing and predicting sea level rise, globally. A better understanding of sea level rise is crucial in the context of climate change, as millions of people live in parts of the world that are threatened by future coastal flooding. This position is responsible for the statistical framework that combines a wide range of data sets, including both ground-based and satellite, and simulations from physical models, into sea level rise assessments.  Applicants need to be familiar with modern practice in large-scale spatial statistics such as the SPDE approach to Gaussian Markov Random Fields, or the Integrated Nested Laplace Approximation approach, implemented in R.   The University of Bristol has world-class expertise in both sea level research and computational statistics.  This position is a unique opportunity for an early career statistician to develop theory and practice at the cutting edge of modern statistics, and to contribute to a complex but crucial scientific question.   Interviews are likely to be held at the end of October, and the expected start date is January 2019. Informal enquires are welcome.   Contacts:  Professor Jonathan Bamber E-mail: Tel: +44 (0)117 331 4129   Professor Jonathan Rougier E-mail: Tel: +44 (0)117 928 7782   The closing date for applications is 23.59 on 08 October 2018.
Job Offers in Sensyne Health
Sensyne Health is hiring a number of exciting positions across clinical artificial intelligence, genetics and drug discovery. We are seeking individuals with a background in Life Sciences who are looking to work for an eclectic, collaborative team passionate about data, health and biology. If you are looking to progress into a role in industry this could be the perfect opportunity to develop novel methods and algorithms that can make an impact in standard healthcare.  Our current vacancies include: Data Scientist, Bioinformatician, Biostatistician, Clinical AI Lead and a number of specialists in genetics and computational cancer biology.  Please take a look at our careers website for more information on what we do:
Associate Professor in Biostatistics (Odense, Denmark)
A position as associate professor in biostatistics is available within the Research Unit of Epidemiology and Biostatistics at the Department of Public Health, University of Southern Denmark in Odense, Denmark. Applications are welcome in any area of Biostatistics which enhances and complements existing areas of expertise at the Research Unit. Major requirements: • PhD in biostatistics, mathematics or statistics. Experience from being assistant professor, postdoc or equivalent. • Demonstrated methodological development in biostatistics, mathematics or statistics. • A solid and documented track record in international peer reviewed publications. • A strong interest in pursuing excellence in undergraduate and postgraduate teaching and in supervising students and researchers. Deadline 2018-Oct-07 More info in:
JOB: Tenure track assistant professor in Statistics
The Department of Environmental Sciences, Informatics and Statistics of the Ca'Foscari University of Venice has  opened a call for a tenure track assistant professor ("ricercatore a tempo determinato livello B"). This is a three-years position with subsequent promotion to Associate Professor provided the necessary scientific habilitation ("abilitazione scientifica") according to the Italian law. Candidates are expected to hold a Ph.D. possibly in Statistics and to have a good record of publications in international peer-reviewed journals with significant content in Statistics. The successful candidate will play an active role in the research group in Statistics for developing new data science techniques with special focus on environmental modeling. The typical teaching load is 90 hours of lectures per year. Most of the Master and PhD courses are in English. Please direct inquires about the scientific aspects of the open position to Professor Carlo Gaetan ( For information about academic career path in Italy (requirements, salary etc.) see Applications must be submitted exclusively online through the web site The deadline is June 4, 2018 at 12:00 a.m. (CEST). Incomplete applications, or application submitted after that deadline, cannot be considered.
Assistant Professor of Statistics, University of California, Riverside (Deadline: 30 June 2015)
View Link (Deadline: 30 June 2015)
Professor of Statistics with research in Statistical Ecology, University of Kent (Deadline: 21 June 2015)
View Link (Deadline: 21 June 2015)
Postdoctoral Research Scientist in Statistical Cancer Genomics, University of Oxford (Deadline: 17 June 2015)
View Link (Deadline: 17 June 2015)
i-like Research Assistant, School of Mathematics, University of Bristol (Deadline: 11 June 2015)
View link (Deadline: 11 June 2015)
Contratos laborales Biostatech, S.L.
Biostatech, S.L. (, spin off de bioestadística de la Universidad de Santiago de Compostela, va a ofertar nuevos contratos laborales entre finales de este año y principios de 2015. Su interés se centra en estadísticos que desarrollarán labores de asesoramiento, principalmente enmarcados en trabajos en áreas de biomedicina, con posibilidades de extensión a otros sectores como publicidad, seguros, financiero,...Desde la spin off solicitan a los interesados el envío de CVs resumidos a la dirección:, para la realización de una preselección de candidatos. Los datos aportados estarán sujetos a total confidencialidad por parte de Biostatech. La persona de contacto es su Director Gerente: Vicente Lustres Pérez.
Becas Biostatnet CEB17
BECAS BIOSTATNET CEB17 La Red Nacional de Bioestadística ofrece 2 becas a jóvenes investigadores que quieran presentar sus trabajos en la Conferencia Española de Biometría (CEB2017). Cada beca cubrirá  los gastos de inscripción y alojamiento hasta un máximo de 300€.   Las condiciones para poder optar a la beca son las siguientes: Ser miembro de la Red Nacional de Bioestadística (BIOSTATNET) Estar matriculado/a como estudiante de grado o posgrado en alguna universidad. No tener más de 35 años el día que da comienzo la conferencia. Para el caso de investigadores que ya sean doctores: no pueden haber pasado más de 2 años desde la lectura de su tesis. Para optar a estas becas debe procederse de la siguiente forma:   Presentar el resumen corto (máximo una página), que corresponde al formato establecido para el CEB17, debe enviarse siguiendo el procedimiento normal de envío de resúmenes( Enviar un trabajo extendido (máximo 3 páginas), incluyendo 2 secciones: Estado del Arte y Contribuciones Originales, en formato PDF, a BIOSTATNET (,   indicando en el asunto: BECA_CEB17.   El trabajo debe seguir las indicaciones de la plantilla Latex (plantilla_eng.tex), que requiere el siguiente fichero de estilo y un gráfico:template.sty , gráfico. También se puede enviar el trabajo en Word Este segundo envío deberá acompañarse del trabajo corto enviado por el procedimiento normal indicado por el CEB17 y del número de referencia asignado en ese primer envío.   Para poder optar a beca, el envío de los resúmenes debe realizarse antes del 5 de mayo, para que el proceso de evaluación, por parte del Comité Científico de Biostatnet, y la notificación de la resolución pueda realizarse de forma adecuada.     Premio de investigación de la REIDE (Convocatoria permanente)