Category Archives: Jobs

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

Machine Learning Developer

Machine Learning Developer

Cytomine, Liege, Belgium

A full-time position R&D in Machine Learning Image Analysis.

 Cytomine : the company : http://cytomine.coop
We develop and maintain the Open Source software Cytomine, and actively collaborate with academic researchers in Machine Learning Image Analysis.
We are a young start-up, a spin-off of the University of Liege, and a cooperative open to participative governance.

 Cytomine : the software : http://cytomine.org
The Cytomine software is a full web open source platform dedicated to online collaborative analysis of very big images. It has been developped mainly for biomedical images analysis, but can be used in many other imaging fields.

 Job Summary :
You will contribute to the development of new Machine Learning Image Analysis processes and algorithms, and their integration into the Cytomine software.
You will be responsible for the quality control of new and existing processes and algorithms and will be in front-line of exciting innovations.
As we intensively collaborate with academic researchers involved in Machine Learning, you will also be responsible for the integration of new algorithms, processes or technologies issued from academic research into Cytomine.

 Responsibilities :
Participate in projects from requirements analysis to quality assurance.
Develop and improve Machine Learning & Image Analysis processes and algorithms for the Cytomine software.
Remain at the cutting edge by keeping a technology/algorithm watch into these domains in collaboration with our research community.
Customize (fine-tuning of parameters) processes and algorithms for specific customers.
Actively participate in team meetings as an actor of innovation within the company.
Keep focus on software quality (tests, documentation, …).

 Qualifications :
A Master degree in any topic related with Computer Science, Data Science or Artificial Intelligence. A PhD is an asset.
Experience in artificial intelligence applied to images. Experience and/or knowledge in Medical Informatics, Bio-engineering/Biomedical Sciences or equivalent is an advantage.

 Requirements :
Experience in Machine Learning, image analysis and processing of big data.
Experience in Python development, and especially with the Scikit-Learn library.
Able to work openly by sharing information and knowledge.
Fluent English.
Working knowledge of Linux.
Being passionate, enthusiastic, and motivated to be a self-starter.
Able to multi-task and to stay organized in a dynamic work environment.
Share the values of Open Source, Open Access, Open Science and Open Governance.

 Assets :
Knowledge in microscopy and bioimaging techniques and technologies.
Experience with Cytomine, Icy, and Bioformat softwares.
Experience in Open Source software development.
Experience with Docker.
Experience in software architecture and web development.

 What we offer :
Salary : an attractive package.
Governance : possibility to participate in the decisions of the company.
Human values : working in a social purpose company.

 Interrested ?
Contact us us at jobs@cytomine.coop

Original announcement at http://www.cytomine.coop/job

 

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

Bioinformatician

Bioinformatician with focus on research support on image analysis

Science for Life Laboratory, Uppsala University, Sweden

Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion.

The Science for Life Laboratory, SciLifeLab, is a Swedish national centre for molecular biosciences with focus on health and environmental research. The centre combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a joint effort between Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. SciLifeLab was established in 2010 and today, approximately 1,500 persons work within the centre. SciLifeLab consists of a number of platforms and facilities, and the BioImage Informatics Facility (BIIF) is focused on research and support on digital image processing and analysis for life-science applications. Read more at www.scilifelab.se/facilities/bioimage-informatics/.

The Department of Information Technology at Uppsala University has approximately 280 employees and conducts research and education in a spectrum of areas within Computer Science and Information Technology. The department consists of five divisions, and the Division of Visual Information and Interaction is a unique combination of expertise in computerized image analysis and human-computer interaction. The Uppsala node of SciLifeLab BIIF is hosted here. More information about the department and its activities can be found at www.it.uu.se.

Duties: 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. You will work in shorter or longer projects, providing research support and education on 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. The job also includes involvement in ongoing research projects at the Wählby lab www.cb.uu.se/~carolina.

Requirements: A PhD in computational image analysis/image processing (or equivalent), or a PhD in biomedicine/biology (or equivalent), combined with documented experience of computer programming and development of digital image analysis solutions is required. Excellent English communication skills both spoken and written as well as excellent interpersonal skills are required.

Additional qualifications: Postdoctoral experience in image analysis, within or outside academia, especially focused on methods development is meriting. Experience of 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 is desirable. Teaching and student supervision is also desirable, and experience with analysis software such as Imaris, Fiji, CellProfiler, NIS and Amira are meriting.

How to apply: The application, submitted via the web interface at http://www.uu.se/en/about-uu/join-us/details/?positionId=172838, should include a letter describing the applicant’s motivation for applying for this position, relevant qualifications and research interests. The application should also include a CV, links to relevant publications and letter(s) of recommendation and contact information to two reference persons. We would also like to know the earliest possible date for starting. Please note that applications can only be accepted via the web interface linked below, and should not be sent by email.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Pay: Individual salary.

Starting: Position to be filled at the earliest Dec 1, 2017.

Type of employment: Permanent employment, probationary period of 6 months’ applies.

Working hours: 100 %

For further information about the position please contact Professor Carolina Wählby, carolina.wahlby@it.uu.se, +46-18-4713473 or Associate professor Petter Ranefall petter.ranefall@it.uu.se.

You are welcome to submit your application no later than November 20, 2017, UFV-PA 2017/3653.

 

 

Image Analysis Staff Scientist

Image Analysis Staff Scientist (m/f)

Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany

(Job offer 25/2017)

working 39 hours/week initially temporary limited to 2 years with the potential of extension and starting as soon as possible.

Job description

Collaboration with researchers in projects that include quantitative image processing, tracking, super- resolution microscopy, live-cell imaging and correlative Light and Electron Microscopy
Development of novel algorithms for image processing
Implementation of automated microscopy acquisition with feedback from analysis
Collection, Improvement and customization of existing analysis tools
Training of facility users in Image & Data Analysis tools (ImageJ, Huygens, Imaris, Matlab, Prism)
Maintenance of Facility IT infrastructure

Requirements:

  • Master or Engineer in (Bio)Informatics, (Bio)Physics, Applied Mathematics or related areas with profound knowledge in Image Analysis
  • Experience with Image processing, data visualization and software development (e.g. ImageJ, Python or Matlab)
  • Familiarity with biological data is a plus
  • Experience of working in interdisciplinary projects is advantageous
  • Very good English skills and being a strong team player with excellent communication skills

For more information please contact:
Dr. Martin Lehmann: e-mail: mlehmann@fmp-berlin.de; phone: 030 94793-218
Homepage FMP: http://www.fmp-berlin.de

Salaries will be based on TVöD. In 2013, the institute has been awarded the certificate of the audit Beruf und Familie as family-friendly employer. We offer equal opportunities regardless of gender and welcome applications of disabled candidates. They will be preferred in case of equal qualification.

Please address your application, preferably as a single pdf, to Frau Spors (spors@fmp-berlin.de) until 31st October 2017.

Announcement webpage: http://www.leibniz-fmp.de/institute/joboffers/joboffer00/article/image-analysis-staff-scientist-mf.html

Bioimage Analyst

Scionics

Job Description

We seek to recruit a highly motivated individual to work in a team dedicated to biological image analysis. This team provides image analysis services to the Dresden scientific community. The close vicinity of research groups working at the interface of biology and physics as well as optical technology development and image processing provides an exciting and unique environment to work on multidisciplinary projects.

The Bio-Image Analyst will support the needs of wet lab biologists by meeting with them to discuss their projects and proposing and implementing solutions for the image analysis component of their research. The Analyst will rely on existing software packages to demonstrate and implement quantitative, scientifically rigorous and repeatable image analysis pipelines while also considering factors such as usability and the integration of the solution into existing infrastructure. The team deals with a diverse and exciting range of projects and a successful candidate will enjoy innovating and being creative in using existing tools, and testing and implementing new tools, to efficiently solve scientific problems. In addition, the successful candidate will contribute to the teaching of image analysis strategies and techniques, will keep up-to-date with new trends, and will work to continue our strong relationships with imaging facilities in the Dresden scientific community.

This is a full-time, onsite position (Dresden, Germany), with salary based on experience. Scionics may provide assistance with moving costs.

Responsibilities Include

  • Help scientists design and build successful image analysis pipelines using a variety of open source and commercial packages primarily ImageJ/Fiji but also Huygens, Imaris, Matlab and Cell Profiler
  • Participate in a “walk-in” consulting service for scientists to guide them to the correct software and image analysis solution
  • Write custom scripts, macros, and code to combine, integrate, and expand existing tools when necessary
  • Participate in teaching and training of researchers with regard to image analysis techniques and appropriate scripting tools
  • Test and propose new tools and strategies in order to keep up-to-date with current Bio-Image Analysis trends

Requirements

  • A minimum of a Masters degree (or Bachelors with 2 year experience) in biology with experience performing (image) data analysis or alternately a Physics / Computer science / data analysis background with experience working with biologists
  • Strong interest in image processing, its application in biology and experience with at least one image analysis package (preferably ImageJ/Fiji)
  • Experience with at least one programming / scripting language, preferably Python (some knowledge of Java is a plus)
  • Excellent communication skills and the ability to explain complex information in an easy to understand way
  • Ability to work in a multidisciplinary environment with rapidly changing projects and to multitask
  • The successful candidate will be a strong team player who is curious, creative, and rigorous
  • Fluent in English

Benefits

Contract: Scionics offers favorable contract conditions and salary based on experience.

Corporate culture: Scionics is an SME with strong ties to academia. If you work here, you will meet a lot of international people (~50% of your colleagues would be non-German) and get a good opportunity to broaden your horizons not only culturally but also with regard to modern science. The work environment in Scionics is informal and with less bureaucracy than a big corporation (but not as chaotic as a start-up).

Location: Scionics is headquartered in Dresden, a beautiful but still affordable city. The Scionics offices are located close to the river Elbe, with residential areas within walking distance. According to WirtschaftsWoche, a German business magazine, Dresden with its 500,000 inhabitants is the most dynamic city in Germany.

Company stability: Scionics is a privately held, profitable company.

Contact

If you are interested in this position, please send your CV and any relevant documents to: bioimagejob@scionics.com with the subject “BioImage Analyst.”

Image processing engineer

Image processing engineer (F/M)

Argolight – 2017 Pessac (close to Bordeaux, FRANCE) – Permanent contract  – Salary: 31 k€

Ambitious start-up, reliable (5 years-old, in credit activity, growing) and oriented towards the international (80% of our sales out of France), Argolight is a high technology company which works for the markets of biotechnology, pharmaceutics and medical research. We are seeking for an image processing engineer for the development of new algorithms to control the quality of fluorescence imaging systems.

Your position

You will work in a team composed of 3 developers (including you). You will work on R&D studies in the field of fluorescence imaging microscopy.

You will be in charge of the development of software tools for data processing and analysis of microscopy images, tests preparation, data shaping, algorithms definition and modeling. Your expertise will lead you to be solicited for images processing technical support.

You will work inside a dynamic and innovative team, with experts in glassy materials, lasers and microscopy. Your ability to be proactive will be not only encouraged, but also rewarded.

Strong evolution possibilities are possible with the company growth.

Your profile:

With a University master, engineering school diploma or equivalent, you have many years of solid experience in images processing.

Skills:

  • Images processing library: OpenCV
  • Main language: Java
  • OS: Windows
  • Strong autonomy
  • Organization, sense of responsibilities
  • Spoken and written technical English

Bonus:

  • Specialist in images processing
  • Good knowledge in image segmentation, shape detection
  • Other languages: C++, Python
  • Appreciated knowledge in image deconvolution, microscopy, image correction, GPU (Graphics
  • Processing Unit) programming
  • Database: NoSQL
  • Team working

 

To apply:

Please send your CV and a letter explicating your involvement in past projects you may think relevant for this application at contact@argolight.com

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 ».

Optical Microscopy BioImage Analyst

Optical Microscopy BioImage Analyst

Weatherall Institute of Molecular Medicine, John Radcliffe Hospital/Headley Way, Oxford, UK

Grade 7: £31,604 – £38,833 p.a.
An exciting opportunity has arisen for a motivated and enthusiastic Optical Microscopy BioImage Analyst to join Dr Christian Eggeling’s team at the Wolfson Imaging Centre Oxford, located at the Weatherall Institute of Molecular Medicine (WIMM). You will work with the present BioImage Analyst, Dr Dominic Waithe, and will work towards developing and maintaining computational analysis solutions to solve the needs of the institute.

You will be developing and maintaining analysis tools for data produced by the optical microscopes, providing a key role in many scientific programmes within the WIMM. Besides setting up image analysis platforms with a strong focus on single-molecule, super-resolution, multi-colour and dynamical (live-cell) microscopy, responsibilities will include teaching staff and students in the use of data analysis tools and to provide expert advice where applicable.

You will have a PhD in biological, physical, computer science or engineering sciences. Extensive experience in the analysis of optical microscopy, together with experience in developing analysis pipelines, especially related to image analysis, is essential. Knowledge of image processing algorithms is essential whereas knowledge of biophysical and machine learning techniques is also highly desirable. A fundamental understanding of both physics and biology with excellent communication and interpersonal skills is also required.

This is a full-time appointment for 18 months in the first instance, funded by MRC, BBSRC and EPSRC, Wellcome Trust and Oxford EPA Cephalosporin Fund research councils, with the plan to extend it further on.

Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application.

Only applications received before 12.00 noon on 27 September 2017 will be considered.

Formal job advertisement:
https://www.recruit.ox.ac.uk/ pls/hrisliverecruit/erq_ jobspec_version_4.display_ form?p_company=10&p_internal_ external=E&p_display_in_irish= N&p_process_type=&p_applicant_ no=&p_form_profile_detail=&p_ display_apply_ind=Y&p_refresh_ search=Y&p_recruitment_id= 130796

Post-doctoral researcher at FIMM

Post-doctoral researcher at FIMM High-Content Imaging and Analysis unit

FIMM High-Content Imaging and Analysis (FIMM-HCA; https://www.fimm.fi/en/services/technology-centre/high-content-imaging-a…) unit is part of HiLIFE-HELMI (Helsinki Advanced Light Microscopy) platform and FIMM Technology Center. We provide service to our academic and commercial customers in high-content/high-throughput microscopy, image analysis and data management. FIMM-HCA is now seeking for a service-oriented post-doctoral researcher to develop and run activities of recently established core unit.

The primary activities of the position include, but are not limited to:
• Run and develop the activities of FIMM-HCA unit including:
• Project management and coordination
• High-throughput microscopy and analysis
• Development of image analysis solutions, methods and protocols
• Maintenance of the microscopes
• Administrative activities of the unit
• Collaboration with FIMM TC, other HELMI partners, and international partners

You will be a member of Peter Horvath’s research group (https://www.fimm.fi/en/research/groups/horvath), which works in close collaboration with Olli Kallioniemi’s research group (https://www.fimm.fi/en/research/groups/kallioniemi) in developing new advanced image analysis methods for biomedical applications. You will have the opportunity to build collaborative network with various academic and commercial partners in international research environment of FIMM. In your daily work, you will utilize our new PerkinElmer Opera Phenix spinning-disk high-content screening microscope, and design and run the follow-up analysis of the imaging data. You will also manage and design projects with commercial partners, and offer training to local users.

The successful candidate should
• Hold a PhD degree (or similar, or graduating soon) in computer science, cell biology or related field
• Have thorough image analysis experience
• Have experience in fluorescence microscopy
• Be technically capable of designing new image analysis pipelines and handle big data
• Be fluent in English, have good interpersonal and communication skills, a service-minded attitude, and be able to work independently as well as within a team
• Have good problem-solving and analytical skills
• Should state if also has proven experience with: project management and coordination, supervision of personnel, drug sensitivity testing, high-content microscopy, laboratory automation, robotics, and high-throughput screening
• The earlier experience on collaboration with companies, and activities in high-throughput microscopy is not essential but beneficial

The salary will be commensurate with qualifications based on the university salary system. A contract will be offered initially until 31.12.2019. Extension beyond this is possible depending on the availability of funding.

Application should be written in English and include a cover letter and CV with contact information for two referees.

Please submit your applications through the University of Helsinki electronic recruitment system by clicking on the Apply link. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through the SAP HR portal by September 25, 2017. Election of candidates will commence on September 26, 2017.

For further information please visit our website at http://www.fimm.fi or contact a current unit head Lassi Paavolainen (lassi.paavolainen(at)helsinki.fi), or Vilja Pietiäinen (vilja.pietiainen(at)helsinki.fi).

Apply at latest 25.09.2017

AP­PLY LINK

https://rekry.helsinki.fi/sap/bc/erecruiting/posting_apply?param=cG9zdF9pbnN0X2d…

DUE DATE

Monday, September 25, 2017

More information at: https://www.helsinki.fi/en/open-positions/post-doctoral-researcher-fimm