Scientific
programmer:
BioExpert
for the definition
of biological systems in systems biology
Function
title:
Scientific
programmer
FTE:
1,0 fte (38 hours per week) /
4 years
Available
per:
A.s.a.p.
About
the position:
Project
Systems biology is rapidly
developing as the scientific approach to understand complex biological
systems
consisting of a large number of components and their interactions.
Experimental
information about the components of the system and their interplay is
used to
develop and test mathematical models. The experimental work, biological
knowledge and experimental data and computational models are
cornerstones in an
iterative cycle of data-driven modelling and model-driven
experimentation in
the Netherlands Consortium for Systems Biology (NCSB; www.sysbio.nl).
A systems bioinformatics
project is defined as part of the NCSB programme. In this project five
bioinformatics centers collaborate to provide bioinformatics support to
NCSB
systems biology projects through the development of methods for data
and
knowledge management and through development, exchange, and computation
of
models. This bioinformatics project in turn entails collaboration with
several
experimental projects in the consortium. This project is also part of
the
BioAssist programme of the Netherlands Bioinformatics Centre (NBIC;
www.nbic.nl).
As part of the systems bioinformatics project the scientific programmer
will
work on the BioExpert (bioexpert.nl) project. The overall aim of the
BioExpert
project is to develop a framework to represent, integrate and present
(curated)
knowledge of specific biological systems and to use this information in
subsequent modelling applications. The overall framework is based on
state-of-the-art approaches for Information Management (e.g., RDF/OWL)
and
novel approaches for information (re)presentation (i.e., concept map
network).
The BioExpert knowledge base stores conceptual models that provide a
comprehensive, accurate, and up-to-date description of selected
biological systems to serve as
input for mathematical modeling.
Tasks
Your main tasks are (a) acquisition of domain knowledge
(biological, models
and parameters, etc) for selected biological systems, (b)
representation of
this information in the current RDF/OWL framework, (c) construction of
concept
maps to (re)present this information (d) integration with systems
biology
markup languages (e.g., SBML, CellML, KiSAO, Teddy, SBO) and modeling
environments, (e) further development of the BioExpert application
(user interface,
navigation/querying, web-services to access data, visualization, etc)
to
enhance its use in systems biology.
Requirements
We are looking for an enthusiastic candidate with a
background in
(bio)informatics and or biology with a strong interest in information
management. The candidate is willing to take on substantial tasks in
knowledge
acquisition and software development in order to develop BioExpert into
a
functional systems biology tool.
The candidate should ideally meet
the following requirements:
·
Background in a relevant scientific discipline
(e.g., (bio)informatics);
·
Experience with information management;
·
Excellent software developer (Java, Java frameworks (J2E,
JENA, AJAX),
web-applications/services).
·
Knowledge of RDF and OWL;
·
Experience with systems biology markup languages (e.g.,
SBML)
Sufficient social skills to perform optimally in a dynamic scientific
team and
willingness to collaborate with colleagues from other NCSB groups.
About the employer:
The University of Amsterdam (UvA) is a university with an internationally acclaimed
profile, located at
the heart of the Dutch capital. As well as a world centre for business
and
research, Amsterdam is a hub of cultural and media activities. The University of Amsterdam is a member of the League of
European Research Universities.
The Faculty of Science of the University of Amsterdam (UvA) is one of Europe 's foremost institutions for
higher education and research in its chosen fields of specialization.
It plays
an active role in international science networks and collaborates with
universities and industry. The Faculty has approximately 2,000 students
and
1,500 staff members spread over four departments and ten research
institutes.
Each institute has its own research programme, a substantial part of
which is
externally financed by the Netherlands Organization for Scientific
Research
(NWO), the Dutch government, the EU and various private enterprises.
In 2010, the Faculty will relocate to Science Park Amsterdam. Ambitious
building projects are paving the way for this relocation. The move will
make
the Park one of the largest centres of academic research in the
Netherlands .
The Swammerdam Institute for Life Sciences (SILS) is one of the
Faculty's
largest institutes. Within it, approximately 250 scientists and staff
members
perform excellent research centered on four themes: 1) The Living Cell,
2)
Plants and Health, 3) Inside and Beyond the Brain, and 4) Life Science
Technologies. Institute members give advanced lectures and courses,
while the
SILS itself stimulates scientific cooperation between participating
groups and
colleagues all over the world.
Additional information:
Employment basis: Temporary for specified period
Duration of the contract: 3 years
Maximum hours per week: 38
Additional conditions of employment:
The appointment will be on temporary basis for a maximum period
of three
years. Based on a full-time appointment (38 hours per week), the gross
monthly
salary depends on expertise and experience. The collective employment
agreement
of Dutch universities is applicable.
Additional information about the vacancy can be obtained from:
Prof.
A.H.C. van Kampen
BioSystems Data Analysis (Medical Bioinformatics)
Telephone number: +31 (0) 20 566 7096
E-mail address: a.h.vankampen@amc.uva.nl
www.bioinformaticslaboratory.nl
www.bdagroup.nl
Contact:
Applications should include a detailed curriculum vitae and a
letter of
motivation, and send by email to a.h.vankampen@amc.uva.nl
Prof dr Antoine H.C. van Kampen Netherlands Bioinformatics Centre (www.nbic.nl) Scientific Director Bioinformatics Laboratory (Monday, Tuesday, Thursday) Clinical Epidemiology, Biostatistics and Bioinformatics (KEBB) Academic Medical Center (AMC) Visiting address: Meibergdreef 9, J1B-217-1 (J-building, floor 1B) Postal address: PO Box 22700, 1100 DE Amsterdam, the Netherlands www.bioinformaticslaboratory.nl Biosystems Data Analysis (Wednesday, Friday) Swammerdam Institute for Life Sciences (SILS) University of Amsterdam Visiting address: Nieuwe Achtergracht 166, C-710 1018 WV Amsterdam, The Netherlands www.bdagroup.nl Phone: ++31-20-5667096 (AMC) / ++31-20-5256547 (SILS) Mobile: 06-41768067 (not switched on in the AMC) Email: a.h.vankampen@amc.uva.nl Skype:antoine.van.kampen Secretaresse: 020-5664626