Role: A vacancy has arisen at Lonza Biologics - Advanced Protein Technologies group (Cambridge-UK) for a Research Scientist on Structural Bioinformatics / Computational Biochemistry to apply and develop its technology platform.
Key Responsibilities:
- Develop and run software tools required for protein aggregation analysis, protein stability, conformational characterisation and protein engineering.
- Implement modifications to existing tools to expand their current capabilities and throughput.
- Co-ordinate research activities with other members of APT as well as external collaborators and contractors to consolidate and enhance existing in silico platform technology.
- Participate actively in service projects and collaborations involving protein improvement and characterisation.
Requirements:
Qualifications: Degree / MS or PhD in Bioinformatics or Computational chemistry / biochemistry, or alternatively in Biological Sciences / Biochemistry with relevant experience in protein computational analysis or Structural Bioinformatics.
Essential experience and skills:
- Good background in structural bioinformatics and protein structure
- Competent in the use of UNIX platforms Experience in scripting and programming (desirable at least basic knowledge in C++ or Perl)
- Previous experience in protein modelling
Desirable:
- Experience in management of computer clusters / servers.
- Familiarity with non-linear statistical data modelling tools (supervised clustering, machine learning, etc.) and data mining.
- Previous experience in molecular dynamics.
- Familiarity with antibody structure and bioinformatics tools related to antibodies.
Are you interested?
Please apply by September 29th 2007 by sending a CV and a covering letter quoting your salary expectations to: careers.slough@lonza.com (ATTN: Jill Westhoff)
Note that this post is based in Cambridge, UK
Location: Cambridge, UK; CB22 3ATStatus: Full Time, Permanent
Reference Code: APT-SB1




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Hello,
Would you be willing to elaborate on the machine learning part of the post? Does this cover things such as SVMs, ANNs and Bayes based approaches? If so does it include writing architectures or using existing ones such as Spider and MatLab?
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