Embl
Bioinformatics
ScientistinMolecularEvolution
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Scientist in Molecular Evolution at Embl. Skills: Computational biology, Molecular evolution, Phylogenetic methodologies, Mathematical modelling, Statistical data analysis, Python, C++. Developing phylogenetic methodologies and their mathematical underpinnings, and biological applications. Participating in research projects”
Industry & Context.
Mathematical modelling; Statistical data analysis; Phylogenetic methodologies
What They're Looking For.
Must Have
PhD and substantial research experience and publications in computational biology, Experience in mathematical modelling and statistical data analysis, Experience in scientific and object-oriented programming in Python and C++, Experience in applying for grants / academic funding, Excellent communication and interpersonal skills
Nice to Have
A good understanding of and enthusiasm for the questions biologists ask of genome sequence data, A background in biology, mathematics/statistics, computer science or other technical disciplines, combined with subsequent cross-disciplinary experience, Past experience and success in the leadership responsibilities described above, Programming experience in other languages (e. g. C, Java), Experience building research collaborations
What You'll Do.
Developing phylogenetic methodologies and their mathematical underpinnings
and biological applications
Participating in research projects
Developing own projects
Presenting research at conferences and meetings
Maintaining and developing the efficient operation of the group
Management or leadership of research projects
Supervision of other staff (including post-graduate students and junior visitors)
Collation of materials for reports
Preparation of grant applications
Teaching at training events
Liaison with colleagues and collaborators
How You'll Work.
Team & Collaboration
Work with Nick Goldman and other members of the group; Liaison with colleagues and collaborators both within and outside of EMBL; Building research collaborations
Communication Scope
Excellent communication and interpersonal skills
Process & Methodology
Management or leadership of research projects
Full Job Description
We are seeking to recruit a Scientist to join Nick Goldman's research group () at the European Bioinformatics Institute located on the Wellcome Genome Campus near Cambridge in the UK. The group researches the evolutionary analysis of DNA and protein sequences, genomic data analysis methods, modelling of molecular evolutionary processes and statistical inference based on these models. We are interested in applications of existing and novel sequence analyses in large-scale comparative genomics, Next Generation Sequencing, and the use of DNA for digital information storage. **What You’ll Do** You will work with Nick Goldman and other members of the group on developing phylogenetic methodologies and their mathematical underpinnings, and biological applications. You will be expected to participate in research projects already under way in the group and to develop your own projects in related areas. You will be expected to present your research at appropriate conferences and meetings. In addition to pursuing research, you will take responsibility for various tasks maintaining and developing the efficient operation of the group. These may include management or leadership of research projects of your own and the group’s devising; supervision of other staff (including post-graduate students and junior visitors); collation of materials for reports and presentations; preparation of grant applications; teaching at training events (including abroad); liaison with colleagues and collaborators both within and outside of EMBL. **What We Do** EMBL-EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry
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