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Opportunity: Senior Research Scientist in Paediatric Oncology Bioinformatics @ Technical University of Denmark -- Lyngby, Denmark
Submitted by Signatur AS; posted on Tuesday, April 26, 2016
RESPONSIBILITIES
Description of the content of the position in relation to:
- The candidate is expected to oversee and run the computational parts of a whole genome sequencing pipeline for nationwide screening of childhood oncology patients in a diagnostic setting. He/she will also be driving data analyses in the underlying research group working with germline predispositions towards childhood leukaemia aetiology, biology, and drug disposition and response.
- The role will involve data integration and machine learning across genomic, transcriptomic, clinical, epidemiological data and prior biological knowledge. It is expected in the future to also include metagenomic and metabolomic data.
- The candidate will supervise, coordinate, and train junior researchers within the field. The coordination role will also include our emerging industrial collaborations.
The position will be based at the Technical University of Denmark in the Functional Human Variation group headed by Associate Professor Ramneek Gupta, in close collaboration with Professor MD Kjeld Schmiegelow at the Department of Paediatrics and Adolescent Medicine, Rigshospitalet.
Other content of the position:
- It is expected that the candidate will use his experience for actively contributing to research based teaching programmes, as well as participating in grant writing for growing activities in the area.
- As WGS becomes mainstream in the clinic, the candidate will participate in ethical/social discussions and technical coordination of large data pipelines across multiple geographical sites.
REQUIREMENTS
- Hold a PhD degree or equivalent as well as academic qualifications equivalent to those obtained by holding a position as Researcher or Postdoc.
Further qualifications:
Applicants should hold a PhD in bioinformatics, biology, engineering, computer science or similar, with 2-5 years of postdoctoral experience. The candidate must have strong computational skills and prior experience with large data sets, Unix command line environments, as well as either Perl, Python or a comparable scripting language. R and relational database skills are considered a strength, as is experience with application of statistics, systems biology, machine learning and multi-omics data integration methods. A strong background in biology is a prerequisite, preferably with experience in oncology.
Strong communication skills, participating in academic assessment work and the ability to interface across multiple disciplines are required, as well as the ability to work through several priorities. The applicant must be a team player and strong in written as well as spoken English.
It is expected that the candidate is experienced with genome wide association studies, targeted and whole genome sequencing.
PREFERENCES
- Hold a PhD degree or equivalent as well as academic qualifications equivalent to those obtained by holding a position as Researcher or Postdoc.
TERMS
The period of employment is for 2 years with possibility of extension.
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