Four Phds/postdocs in Computational Biology of Childhood Cancer

Applicants are invited to apply for a PhD scholarship in computational biology at Technical University of Denmark. The funds for this fellowship are available for 3 years. This position is closed on March 11, 2019.

DTU Health Tech is seeking several PhDs and full-time postdocs for the Disease Data Intelligence group headed by associate professor Ramneek Gupta, to work in close collaboration with professor Kjeld Schmiegelow's childhood oncology group and the Department of Clinical Genetics at Rigshospitalet. The collaboration further extends to clinical and research groups in Lund, Sweden, as part of the EU inter-regional cooperation effort iCOPE (Interregional Childhood Oncology Precision medicine Exploration).

The Disease Data Intelligence group at DTU is part of the Section of Bioinformatics at the department that houses seven internationally-diverse research groups in an open collaboratory atmosphere, and continuing synergy with other research groups at DTU. The Section has priority access to a large life-sciences dedicated supercomputer and co-develops the bioinformatics environment on this platform. All PhD studies at the Section are in English, and there is a strong emphasis on internationalisation for Danish PhDs including an expectation to present at international conferences and workshops.

The childhood oncology center at Rigshospitalet is the largest of its kind in the Nordic/Baltic region, and includes a research lab that addresses cancer etiology, tumor biology, pharmacology of anticancer agents, toxicology, psychosocial aspects/rehabilitation, and clinical trials.

A multitude of data is being rapidly gathered on children with cancer, including germline whole genome sequencing, tumour mutations and gene expression, as well as blood biochemistry and drug measurements to complement precise and longitudinal clinical phenotyping. For subsets of patients this also includes gene methylation, gut microbiome and single-cell sequencing. Responsibilities in these positions are to advance our research in translational oncology from the molecular basis of disease and clinical interpretation of germline and tumour genetics to prediction of treatment outcome and toxicities, and ultimately guidance of therapy. The current recruitment will address, amongst others, the following areas: The germline-somatic continuum of childhood cancer: impact on tumorigenesis, disease prognosis and treatment outcome and toxicities Mapping of disease oligoclonality at diagnosis and during therapy Machine learning on treatment efficacy and toxicities in groups of patients (tumour expression, tumor mutational signatures, predisposition variants, epigenetic alterations) Candidates will be computational biologists with strong communication and interpersonal skills to liaise with biologists and clinicians. Supervision will be available in computational biology, disease and treatment clinical aspects and clinical genetics, to facilitate candidates independently driving their research areas. The position is based at DTU with some time spent at the childhood oncology research groups at Rigshospitalet to enhance translational research,and up to 25% at clinical and research facilities in Lund, which are the Swedish cooperative partners on the iCOPE Project.

Candidates should be able to exhibit the following personal and professional qualifications: Comfortable at the UNIX command-line and basic data manipulation Programming in R and perl, python or similar Database skills and experience with high-performance computing are an advantage Experience in clinical or disease areas is an advantage, as is experience with handling and interpreting complex data An active interest in solving life sciences problems, and an aptitude for biology You enjoy teaching, and helping colleagues with your skills and knowledge You are motivated by both individual and team accomplishments Flexibility and self-motivation are desired skills at DTU Candidates should have a PhD degree or equivalent in Bioinformatics or Clinical/Life Sciences. A PhD degree in Computer Science can also be considered if coupled with research experience in life sciences. Candidates should have a master’s degree in bioinformatics, life sciences, computer science, engineering, or a similar degree with an academic level equivalent to the master’s degree in engineering. The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the .

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years, starting from 1 April 2019, or as soon as possible hereafter.

You can read more about Further information may be obtained from Associate Professor Ramneek Gupta, +45 2173 9942, ramg@dtu.dk or Professor Kjeld Schmiegelow +45 3545 4266,

You can read more about DTU Health Tech at Please submit your online application no later than 11 March2019 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: In addition, candidates will need the following qualifications:Candidates should have a PhD degree or equivalent in Bioinformatics or Clinical/Life Sciences. A PhD degree in Computer Science can also be considered if coupled with research experience in life sciences.Candidates should have a master’s degree in bioinformatics, life sciences, computer science, engineering, or a similar degree with an academic level equivalent to the master’s degree in engineering.DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.The period of employment is 3 years, starting from 1 April 2019, or as soon as possible hereafter.Further information may be obtained from Associate Professor Ramneek Gupta, +45 2173 9942, ramg@dtu.dk or Professor Kjeld Schmiegelow +45 3545 4266, kjeld.schmiegelow@regionh.dk Applications must be submitted ascontaining all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in. The file must include: Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here) PhD candidates may apply prior to obtaining their master’s degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender,disability, race, religion or ethnic background are encouraged to apply.

The Department of Health Technology (DTU Health Tech) is a newly established international research department with around 400 employees as well as guests and students from both home and abroad. DTU Health Tech is an interdisciplinary department that combines the fields of computer science, physics, chemistry, biology and mathematics to allow researchers to find new ways of innovating the technologies of the future. Three academic divisions, Biopharma, Imaging & Biosensors and Digital Health & Biological Modelling, provide the department a broad and interdisciplinary focus in research, innovation and education. Our aim is to become a world-class research platform capable of fostering new technology and new solutions that can improve the quality of patient care and public health and well-being.

Deadline: March 11, 2019
Apply Link:http://tinyurl.com/y39mvyvx

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