PhD Scholarship in Bioinformatics and Cancer Precision Medicine

DTU Bioinformatics
Thursday 04 Oct 18

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Apply no later than 18 October 2018
Apply for the job at DTU Bioinformatics by completing the following form.

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DTU Bioinformatics has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human, animal, plant and food science and collaborate with all relevant industries. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop bioinformatics, immuno-informatics, metagenomics and systems biology methods and solutions to the challenge of handling and interpreting large scale and heterogeneous big data. We run projects combining big data and laboratory research via the national supercomputing center (Computerome) and molecular genomics laboratories.

A PhD position is available at the Department of Bio and Health Informatics within the field of cancer precision medicine.

Responsibilities and tasks
The PhD student will primarily be working on

  • Handling and analysis of mass cytometry data '
  • Handling and analysis of genomics data
  • Handling and analysis of RNA-Seq data
  • Prediction of HLA binders from somatic variants
  • Integrated analyses of all of the above, including clinical data

Qualifications
Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in engineering. A specialization within bioinformatics is required. Furthermore, extensive experience handling and analysing mass cytometry (CyTOF) data is required. Deep understanding of immunology and oncology in general is highly desirable. Experience with breast cancer is a plus. A good understanding of machine learning algorithms is desirable.

In addition, you should be able to exhibit the following professional and personal qualifications:

  • Strong computational skills and experience with Unix/Linux command line environments, R programming, and either Perl or Python.
  • Experience working with super computers.
  • Experience collaborating with clinicians and medical doctors.
  • International experience is a plus, as much of the work will involve US-based collaborators.
  • Strong communication skills in written as well as spoken English.
  • Flexibility and a general positive attitude to changes.
  • Capability of taking personal responsibility for your work and your results.

Approval and Enrolment
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 PhD Guide.

Assessment
An assessment panel will assess the applicants based on both personal and academic qualifications. 

We offer
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.

Salary and appointment terms
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.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Lars Rønn Olsen, tel.: +45 4525 2425 or by email lro@bioinformatics.dtu.dk

You can read more about DTU Bioinformatics at http://www.bioinformatics.dtu.dk/

Application
Please submit your online application no later than 18 October 2018.

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:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma (an official translation into English)
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
  • Names and contact details of two referees

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.

From January 2019, DTU Bioinformatics will cease to exist in its present form, and become part of a new department for Health Technology. With approximately 300 researchers from various departments, DTU Health Technology will be able to offer optimal conditions and facilities for health technology research. The aim is to become an international-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.   

For further information on the reorganization, please see our website.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.