Category Archives: Career

Scientific Software Developers/Programmers and DevOps Engineer

Scientific Software Developers/Programmers and DevOps Engineer

Max-Planck Institute for Cell Biology and Genetics in Dresden and the Center for Systems Biology Dresden, Germany

https://www.mpi-cbg.de/education-careers/jobs/article/news/scientific-software-developersprogrammers-and-devops-engineer-mf/

 

We have two open positions for

Scientific Software Developers/Programmers and DevOps Engineer (m/f)

to add to our creative and interdisciplinary research team at the Max-Planck Institute for Cell Biology and Genetics in Dresden and the Center for Systems Biology Dresden. We, namely the research groups of Pavel Tomancak and Florian Jug, develop methods and algorithms for image-based systems biology by applying and further developing cutting edge approaches that make use of various computer vision and machine learning techniques. Our work also includes the development of convenient and reusable algorithmic modules and user interfaces that are capable of dealing with gigabytes and terabytes of image data. Our efforts are all funneling into the open community projects Fiji, ImageJ2, and KNIME.

We expect you to become an important and influential figure in our vibrant user and developer community which operates in multiple hot-spots all around the world. Therefore we seek an open-minded and motivated personality to help us further our soft-ware and tool landscape for bio-image analysis, effectively putting needed algorithmic solutions at the fingertips of thousands of academic users world wide. This task naturally comes with the opportunity to visit other members of our community around the world and will bring you in touch with the latest microscopy, VR, and software technology.

In the past years, Dresden has developed into one of the leading scientific centers at a tremendous pace. As a city of about half a million inhabitants, it hosts 19 world-class scientific institutions with a very international community. Dresden was awarded the title City of Science in 2006. It is picturesquely located on the river Elbe, about 2 hour away from Berlin and Prague, and offers a high, family-friendly quality of life at low price level.

Prerequisites
Applicants are expected to have an M.Sc. degree or PhD in Computer Science, Scientific Computing, Software Engineering, Physics, or related areas. Excellent programming skills are required. Most of our codes are written in Java, but we also develop in Python and C/C++. Experience with CUDA and/or OpenCL is helpful. Proficiency with developer tools such as git, Github, Jenkins or Travis, automated test suits, etc. is an essential necessity. An additional requirement is your interest in helping us improve the tool-support for our developer base world wide, making your DevOps experience a certain plus.

Application and Contact
The position is initially limited to 3 years. Salary and social benefits will be in accordance with the regulations of the German TVöD Bund (salary agreement for public service employees) up to EG 13.
We especially encourage women to apply.

The Max Planck Society is committed to employ more people with disabilities and actively seek their applications.

Please submit your complete application in English including a motivation letter, CV, and at least two recommendation letters by April 22nd, 2018 via our online application system (Code: 2018-SSD-2210) at https://recruitingapp-2443.umantis.com/Vacancies/401/Application/CheckLogin/2?lang=eng

If you are currently involved in open-source projects, please provide links to your work.

Max Planck Institute of Molecular Cell Biology and Genetics
Pfotenhauerstr. 108
01307 Dresden, Germany
www.mpi-cbg.de

 

Director-Bioimage Analysis Center

Director-Bioimage Analysis Center

St. Jude Children’s Research Hospital, Memphis, TN, USA

Job ID 38440

Overview

We’re recruiting a Director for St. Jude Children’s Research Hospital’s BioImage Analysis Center. This critical role requires a strong leader with proven interdisciplinary experience to assemble a team of computational scientists and establish the computational infrastructure to meet institutional needs to analyze and quantitate microscopy imagery at large scales and high throughput.

Responsibilities

St. Jude is a leader in investing in and implementing emerging imaging technologies to support basic scientific and translational research. In this role, you will partner with research programs institution-wide to amplify discoveries made using St. Jude’s unique array of cutting-edge light and electron microscopes resources as well as high-content screening platforms. Other responsibilities include:

  •  Develop workflows for object detection & recognition, segmentation, classification, metric extraction, and statistical analysis of image data produced by research efforts ranging from the individual researcher up to programmatic, large-scale projects.
  • Direct a team in microscopy image data mining and image processing as well as utilizing existing commercial software packages or developing novel algorithms to extract biologically relevant information from data sets produced at SJCRH.

Our highly collaborative, mission-driven environment requires a team-oriented individual with excellent communication skills and the following qualifications:

Minimum Experience

  • Five (5) years of related experience. Experience in computing or statistical data analysis, as well as, programming experience in using Imaris, Amira, ImageJ or Fiji programs and operating within a Linux system is preferred

Minimum Education

  • Ph.D. in Physics, Computer Science, Electrical Engineering, or related field required

 

When you work at St. Jude, you enjoy:

 

Research that translates: Your work at St. Jude directly impacts patient care and advances discoveries that save the lives of children worldwide.

Stability and growth:  Thanks to generous donors and completive grant support, our scientific progress is never halted and you’ll enjoy unmatched resources to do the science you’ve always dreamed of doing.

Award-winning environment:  St Jude is consistently recognized by Fortune magazine as one of the “100 Best Companies to Work For” and has been named of one of Glassdoor’s top 10 “Best Places to Work” in 2018.

Constant learning: From in-depth training to world-class seminars and symposia, you’ll be given constant opportunities to expand your knowledge, learn new skills and grow in your career.

EEO Statement

St. Jude is an Equal Opportunity Employer

No Search Firms:

St. Jude Children’s Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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Image Analysis Expert for Microscopy

Image Analysis Expert for Microscopy

Together with the Scientific IT Support (scits.unibe.ch) of the Faculty of Science, the
Microscopy Imaging Center (mic.unibe.ch) of the University of Bern opens a
position for an

Image Analysis Expert for Microscopy (80-100%)

Tasks

  • Optimise and deploy image and data analysis pipelines for current and new instruments at the Microscopy Imaging Center (MIC)
  • Support MIC users with image processing and analysis challenges
  • Support design of IT infrastructure (hardware and software) for new MIC instruments
  • Organise and implement MIC trainings on image processing, IT infrastructure usage and application software
  • Participate in MIC related research and development projects
Qualifications

  • PhD or equivalent in relevant discipline (bioinformatics, bioimaging, biomedical engineering, computer science, physics, applied mathematics biology etc)
  • Recognised experience in applying and/or developing image analysis tools with Fiji/ImageJ, Icy, Imaris, CellProfiler, MATLAB, Java or Python
  • Outstanding programming and data analysis skills (Python/R, C/C++, GPGPU, deep neural networks)
  • Microscopy/bioimaging experience and familiarity with biological data is an asset, interest in this field is pre-requisite
  • Experience with real-time systems and system administration is an asset
  • Strong team player with service-oriented work style and excellent English communication skills (German is an asset)
Conditions

  • Salary according to qualifications and cantonal regulations
  • Begin 2018-05-01 or by agreement
  • Two years with possible extension

The Microscopy Imaging Center at the University of Bern (MIC) is the interdepartmental platform for high-end microscopy. MIC provides access to state-ofthe-art imaging techniques for researchers from 12 institutes of 3 departments of the University of Bern as well as for external visitors. It collaborates closely with the Science IT Support (ScITS) unit from the Faculty of Science. The successful candidate will be embedded in the ScITS team which maintains university-wide, national and international knowledge networks and is associated with the Mathematical Institute. The ScITS working atmosphere is academic, responsive and cooperative. The office location is next to the Bern central railway station. The successful candidate will be member of the MIC commission. Questions regarding the position can be directed to the ScITS coordinator Dr. Sigve Haug or the MIC coordinator Dr. Ruth Lyck (sigve.haug@math.unibe.ch, ruth.lyck@tki.unibe.ch). Women are encouraged to apply.

Please send your full application with transcripts of diplomas, CV, two references, relevant publications and motivation letter as a single PDF to sigve.haug@math.unibe.ch until March 26, 2018.

Universität Bern, Mathematisches Institut, Sidlerstrasse 5, 3012 Bern
sigve.haug@math.unibe.ch, www.unibe.ch

https://firmenwhitelabel.publisherconnect.ch/firmenwhitelabel/addetail/job/index.htm?adId=10386106&locale=en

HEIBRiDS – a new Data Science Doctoral Program

Welcome to HEIBRiDS – a new Data Science Doctoral Program in Berlin

Established in 2018, HEIBRiDS is a doctoral research school of 6 Helmholtz-Centers (AWI, DESY, DLR, GfZ, HZB and MDC) in and around Berlin in cooperation with the Einstein Center for Digital Future involving the Berlin univerisities Charité, FU, HU, TU, and UdK.

The scientific focus of the HEIBRiDS raises the profile of the important and growing research in data science and trains the next generation of researchers in this field. Graduates benefit from exciting, interdisciplinary projects, joint supervision and mentorship from excellent researchers, affiliation to two centers of teaching and training excellence, extensive research training and professional development program opportunities, and dedicated funding for participation in international conferences and collaborative visits.

Data Science with emphasis on
• Imaging
• Machine Learning
• Modelling
• Novel Hardware Concepts
• Sequencing
• Visualization

HEIBRiDS focuses on data science from medicine and geo-sciences to information technology and engineering and provides an internationally highly recognized and vivid research environment within these research areas combined with the supervision by an interdisciplinary team and a rich lecture program.

For the 2018 intake HEIBRiDS will offer 10-15 PhD positions for outstanding students holding a master’s degree in quantitative sciences or related subjects. The ideal applicant has experience in the general research area of HEIBRiDS and enjoys working in an interdisciplinary environment. All students are required to meet the regular admission requirements of the Berlin universities’ doctoral programs. As HEIBRiDS aims at interdisciplinary research there is no complete list of master’s degrees eligible for the program and the selection process will not solely consider the grades, but the candidates specialist knowledge in the proposed research area.

Duration of support: 3 years with the option of 1 year extension.

Application deadline is Mar 3, 2018.

More information at: https://heibrids.mdc-berlin.de/intern/start_start_for.php

Senior microscopy expert

Senior microscopy expert

The (Bio-)Imaging Facility of the IST Austria provides state-of the art fluorescence microscopy services, FACS services, as well as custom image analysis and optical development services. We are enlarging our team and are searching for a full time (senior) microscopy expert (f/m).
Are you interested in how your future working place may look like? This video* provides a bird’s eye view of IST Austria.

Responsibilities

  • Support and development of advanced quantitative microscopy-based measurement methods (FLIM, FRAP, TIRF, laser ablation, multiphoton -and atomic force microscopy)
  • Support of basic facility operation: routine care of the microscopy equipment and basic training of the users of the (bio-)imaging facility
  • Operation and support of Fluorescence Assisted Cell Sorting (FACS)
  • Expert advice to users
  • Optionally, support of image analysis projects
  • Optionally, participation in the research projects initiated by research groups

Requirements

  • PhD or relevant education and research experience involving microscopy
  • Proven experience with at least some of imaging approaches: confocal, multiphoton, spinning disc, light sheet, TIRF microscopy is required – AFM, FACS, and/or FLIM/FRET experience will be advantageous
  • Good communication skills in English is mandatory
  • Organizational and project management skills are advantageous
  • Work experience in a core facility and/or academic environment is advantageous

Please find all information about the vacant postion here:
http://ist.ac.at/fileadmin/user_upload/pdfs/Recruiting_documents/2018_01_Job_Ad_MicroscopyExpert_Englisch.pdf

Additional information:
information about IST Austria: https://ist.ac.at/
Scientific service units @ IST Austria: http://ist.ac.at/ssus
The BioImaging Facility @ IST Austria: http://ist.ac.at/ssus/list-of- facilities/bioimaging- facility/

Application:
To apply for this position send your application until March 1st, 2018 in one combined pdf (including CV, certificates and references) by e-mail to: gabriele.buchner-kranzl@ist.ac.at

* In case the ink to the video does not work: https://www.youtube.com/watch? v=nVsWLgkx9uE

Bioinformatician with focus on research support in image analysis

Bioinformatician with focus on research support in image analysis

KTH Royal Institute of Technology, School of Computer Science and Communication

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.

Department information

The position will be formally placed with the department for Computational Science and Technology (CST) at KTH, but work will be carried out at the Science for Life Laboratory. The CST department conducts research to understand and model physical and biological systems using computational techniques, which require efficient, high performance algorithms and implementations together with advanced visual analysis capabilities. For more information go to https://www.kth.se/en/csc/forskning/cst. The Science for Life Laboratory (SciLifeLab) is a collaboration between four universities in Stockholm and Uppsala: Karolinska Institutet, KTH, Stockholm University and Uppsala University. It combines advanced technology with broad knowledge in translational medicine and molecular life sciences. Since 2013, SciLifeLab has a mission from the Swedish government to run infrastructure to support researchers nationally and to be an internationally leading center for large-scale analyses in molecular life sciences targeting research in health and environment. For more information, visit https://www.scilifelab.se/.

Job description

We are looking for a PhD with a keen interest in implementation and adaption of image analysis algorithms for quantitative analysis of microscopy data to join the SciLifeLab BIIF (https://www.scilifelab.se/facilities/bioimage-informatics/). You will work in short and long-term projects, providing research support and education in image analysis. The BIIF has nodes in both Uppsala and Stockholm, but the assignment includes services to researchers at other universities in Sweden as well. The job includes involvement and organization of courses and workshops in digital image processing and analysis with life science applications. Supervision of master thesis students is part of the assignment. 20% time will be spent supporting projects at the LCI facility in Huddinge.

Qualifications

A PhD in computer vision/image processing (or equivalent), or a PhD in bio-medicine/biology (or equivalent), combined with documented experience of computer programming and development of digital image analysis solutions is required. In addition, the following qualifications are considered highly desireable:

  • Experience with analysis software such as Imaris, ImageJ/Fiji, CellProfiler, NIS and Amira
  • Experience with algorithm development and development of analysis pipelines aiming to quantify and classify biological parameters extracted from microscopy data of e.g. cells and microorganisms in cultures and tissue samples
  • Experience in medical image analysis
  • Experience with teaching and student supervision
  • Proficiency with a scientific programming language (Python, R, or Matlab)
  • Excellent English communication skills, both spoken and written, as well as excellent interpersonal skills Other meriting experiences and skills
  • Postdoctoral experience in image analysis, within or outside academia, especially focused on methods development

Familiarity with deep learning frameworks like Keras, TensforFlow, or PyTorch

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log into KTH’s recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application.

Applications shall include the following documents:
1. Statement of interest including a brief description of experience in bioimage analysis 2. Curriculum vitae
3. Reference contact information
4. Representative publications (or other example of scientific writing)

Please observe that all material needs to be in English.

Others

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
Type of employment: Temporary position longer than 6 months
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 1
Working hours: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: D-2017-0987

Contact
Kevin Smith / Assistant Professor, ksmith@kth.se
Maria Engman / HR-administratör, maengm@kth.se

Published  18.Jan.2018
Last application date:  28.Feb.2018 11:59 PM CET

BIO-IMAGE ANALYST RESEARCHER

BioImage Analyst for scientific imaging platform

IBMC/i3S, Porto, Portugal

 

The IBMC – Instituto de Biologia Molecular e Celular is opening of an international selection tender for 1 vacancy of doctorate to perform duties of scientific research in the scientific area of Bio-Imaging, under a work contract with non-fixed term, in order to develop research activities on bio-image analysis at the i3S Advanced Light Microscopy scientific platform . The researcher should collaborate with the platform’s users by providing training and support to solve their problems of image analysis. Additionally, should collaborate in the organization of postgraduate courses in the area. Other functions may include mentoring master and doctoral students.

 

Admission requirements are:

General:

PhD Degree in engineering, mathematics, computer science, physics, biosciences or similar.

Specific:

– experience in digital image processing, analysis and quantification;

– experience with scientific image analysis open source software packages including ImageJ / Fiji;

– experience with programming languages: Matlab, Python, R or Java;

– experience in the design, construction and implementation of workflows for image analysis;

– knowledge of statistical analysis

– previous experience with biological or medical imaging is desirable.

 

 

More informations at: https://www.ibmc.up.pt/sites/default/files/bioimage_analyst_roteiro_paula_sampaio.pdf

 

For informal inquiries, please contact:

sampaio@ibmc.up.pt

 

Candidates shall submit their application from the 15th January 2018 to 10th February 2018 to: http://www.ibmc.up.pt/gestaocandidaturas/index.php?codigo=ROTEIRO1802

 

 

BioImage Analyst

BioImage Analyst

The Friedrich Miescher Institute for Biomedical Research (FMI) is an international biomedical research center with approximately 350 members. It is affiliated with the University of Basel and supported by the Novartis Research Foundation. We exploit a wide range of technologies to explore molecular mechanisms underlying biomedical processes in health and disease. Supporting the FMI scientists in their research are a number of outstanding technology platforms, including the Facility for Advanced Imaging and Microscopy (FAIM), which has a full-time position available immediately for an experienced and self-motivated BioImage Analyst.

IN THIS POSITION YOU WILL

  • program cutting-edge image processing plugins and scripts (Matlab, Python and ImageJ) to help FMI researchers to answer their biological questions.
  • collaborate with our Machine-/Deep-Learning specialist and Big Data systems administrator, as well as with other in-house programmers to setup workflows for big data processing.
  • teach and help users with image processing using solutions developed in house as well as commercial packages (Imaris, Arivis, Huygens, ImageJ, Neurolucida, Amira) on a day-to-day basis.
  • report to the facility managers.

 FOR THIS CHALLENGING POSITION YOU POSSESS

  • a Ph.D. or equivalent experience in biology or computer/engineering sciences, with several years of experience in image processing of fluorescence and electron microscopy images in biology.
  • very good knowledge of different image processing software, image-processing methods and programming languages (Matlab is mandatory; Python is a “plus”).
  • excellent communication and teaching skills, the desire to work as a team member, and fluency in English.

Have we raised your interest? If you would like to join a dynamic research institute, we look forward to receiving your application. Please submit your application and documents including three names for references by January 31, 2018 at

www.fmi.ch/opening.

For informal inquiries, please contact
laurent.gelman@fmi.ch or christel.genoud@fmi.ch.

Friedrich Miescher Institute for Biomedical Research
Basel, Switzerland
www.fmi.ch

Postdoc in deep learning for medical image analysis

Postdoc in deep learning for medical image analysis

KTH Royal Institute of Technology, School of Computer Science and Communication, Stockholm, Sweden

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.

For information about the School of Computer Science and Communication, please visit https://www.kth.se/en/csc.

Department information

The position will be formally placed with the department for Computational Science and Technology (CST) at KTH, but work will be carried out at the Science for Life Laboratory. The CST department conducts research to understand and model physical and biological systems using computational techniques, which require efficient, high performance algorithms and implementations together with advanced visual analysis capabilities. For more information go to https://www.kth.se/en/csc/forskning/cst.

The Science for Life Laboratory (SciLifeLab) is a collaboration between four universities in Stockholm and Uppsala: Karolinska Institutet, KTH, Stockholm University and Uppsala University. It combines advanced technology with broad knowledge in translational medicine and molecular life sciences. Since 2013, SciLifeLab has a mission from the Swedish government to run infrastructure to support researchers nationally and to be an internationally leading center for large-scale analyses in molecular life sciences targeting research in health and environment. For more information, visit https://www.scilifelab.se/.

Job description

This position is part of a collaboration with physicians from the Karolinska University Hospital. The main task will be to develop deep learning methods to analyse medical images, focusing on breast cancer. The successful applicant will apply his/her knowledge in deep learning to several types of medical images, including histological sections, mammograms, and possibly others. Generally, the goal will be towards predicting patient outcome, but we aim to develop models for specific predictors of patient outcome, such as tumour heterogeneity biomarkers and risk models. In additional to these medical applications, the successful candidate will also participate in theoretical research in deep learning and computer vision. Other duties include helping to mentor MSc and PhD students, and potential teaching duties.

The position is initially funded for one year, with a possibility for extension contingent upon funding and eligibility.

Qualifications

Candidates must have a PhD in computer science, computational science, or a related field received within the last three years. Proven knowledge and ability in one or more deep learning frameworks (Tensorflow, Keras, Torch, Caffe, etc) is absolutely required. Also required is knowledge of standard computer vision techniques and experience in implementing, analysing, and optimizing scientific applications for image analysis. Proficiency in one or two scientific computing languages (Python, Matlab, R) is required. Experience with parallel programming environments and cloud computing is a plus. Previous experience working with medical or biological images is also desirable.

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log into KTH’s recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

Applications shall include the following documents:

  1. Statement of interest including a brief description of experience in deep learning
  2. Curriculum vitae
  3. Transcripts from university
  4. Reference contact information
  5. Representative publications (or other example of scientific writing)

Please observe that all material needs to be in English.

Others

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to the agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Solna
County Stockholms län
Country Sweden
Reference number D-2017-0814
Contact
  • Kevin Smith / Bitr universitetslektor, , ksmith@kth.se, +46 8 790 64 37
  • Maria Engman / HR-administratör, maengm@kth.se
Published 14.Nov.2017
Last application date 06.Jan.2018 11:59 PM CET

Full-time logistician in image analysis and quantification

Full-time logistician in image analysis and quantification (core facility staff)

GIGA – Imaging Platform (Liège, Belgium)

Full time 3 years fixed-term contract (with possibility of extension).
Starting date: as soon as possible.
This expert/logistician should collaborate closely with biomedical researchers, in collaboration with the GIGA Cell Imaging platform, for experimental planning: optimize their sample preparation procedures and their image acquisition protocols in order to minimize acquisition bias and artefacts and ease reproducible morphometric quantification;

  • Maximize the use of existing image quantification softwares (including FIJI, Imaris, Cytomine, Image J, CellProfiler, …) by coordinating software installation, configuration and maintenance;
  • Maximize the use of high-performance computing and mass storage equipment by developing software communication and user interfaces between imaging instruments (incl. whole-slide scanner, confocal microscopes, high content screening imaging system, lightsheet and epifluorescence microscopes managed by the Cell Imaging GIGA platform), computing infrastructure (grid computing and mass storage), and end-users (biomedical researchers and computer scientists developing algorithms);
  • Implement image format conversion tools to ease image storage and sharing;
  • Implement additional quantification software modules to answer specific biomedical questions;
  • Implement research results (new algorithms) into usable and efficient software modules;
  • Write protocols and documentation for end-users to describe quantification workflows, pipelines, platforms.
  • Organize training sessions on basic image analysis principles and softwares. Organize workshops on advanced topics to foster sharing of knowledge between biomedical experts and computer scientists.
  • Offer daily imaging data analysis consultation and services for users of the Cell imaging GIGA platform.
  • Act as an interface between biomedical researchers and computer scientist researchers.
  • Contribute to the submission of national/international research projects that involve biomedical image quantification.

The logistician should:

  • Have a Master or PhD degree in Computer Engineering, Computer Science, Bioinformatics, Science or Applied Physics/Mathematics.
  • Have experience in image analysis/computer vision and/or machine learning/pattern recognition;
  • Have experience in software development and/or data management;
  • Have experience or strong interest in biomedical cell imaging and data management;
  • Experience with epifluorescence, confocal or lightsheet microscopes is a asset.
  • Be creative, pragmatic, autonomous, and user and result oriented;
  • Have excellent interpersonal and collaborative skills to collaborate both with biomedical researchers and computer scientist researchers;
  • English is mandatory, French is an asset.

The logistician will act as an interface between all groups. The logistician will have direct access and contact to the GIGA Cell Imaging Platform (Dr. Sandra Ormenese) and the GIGA Immunohistochemistry platform (Dr. Chantal Humblet).

——————————————————————————–

The laboratory belongs to the GIGA Research Institute (Grappe Interdisciplinaire de Génoprotéomique Appliquée, http://www.giga.ulg.ac.be/, about 600 researchers). The GIGA is a unique research center offering up-to-date and centralized technological platforms (Cell imaging and immunohistochemistry core facilities, animal facilities (Mouse and Zebrafish), transgenics, genomics and proteomics platforms, see http://www.giga.ulg.ac.be/cms/c_5594/fr/plateformes

For further information regarding the equipment available in the GIGA- Imaging platform, please check http://www.giga.ulg.ac.be/cms/c_18283/fr/imaging-accueil- services

An intravital multiphoton microscope will be also available in the GIGA Institute from September 2017.

The GIGA/ULg computing infrastructure is composed of a grid computing environment (~500 computing nodes/3500 cores) and a mass storage facility (~1000TB).

Successful candidate will be offered a full time 3 years fixed-term contract (with possibility of extension). Starting date: as soon as possible. If this opportunity is matching your profile and you are looking for a new challenge, please do not hesitate to forward your CV with a cover note detailing your experience to: Sandra Ormenese (Sandra.Ormenese@ulg.ac.be) and Sandrina Evrard (rh.giga@ulg.ac.be), with the subject heading « GIGA Imaging Platform / Bioinformatician ».