Doctoral (PhD) student position in analysis of omics data and dr
Karolinska Institutet, / Högskolejobb / Solna
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hela Sverige The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology of different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 250 staff. The department is situated at campus Solna. Further information can be found at ki.se/meb
Do you want to contribute to top quality medical research?
To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan.
For a doctoral degree, the equivalent of four years of full-time doctoral education is required.
If you want to read more about the project and the eligibility requirements that is needed to apply for the position as a doctoral student please follow the link to Karolinska Institutet 's web page
https://ki.varbi.com/what:job/jobID:342374/?lang=enWhat do we offer?
A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group. Karolinska Institutet collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. You will be employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care.
Eligibility requirements for doctoral education
In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.
It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education.
A) General eligibility requirement
You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:
- have been awarded a second-cycle/advanced/master qualification (i.e. master degree) or
- have satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the advanced/second-cycle/master level, or
- have acquired substantially equivalent knowledge in some other way in Sweden or abroad.*
Follow the instructions on the web page
https://education.ki.se/entry-requirements-eligibility-for-doctoral-education• If you claim equivalent knowledge, follow the instructions on the web page
https://education.ki.se/assessing-equivalent-knowledge-for-general-eligibility-for-doctoral-educationB) Specific eligibility requirement
You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you:
• Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school.
Follow the instructions on the web page
https://education.ki.se/english-language-requirements-for-doctoral-education Verification of your documents
Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish law and is considered grounds for legal action.
Skills and personal qualities
• MSc in bioinformatics, computer science or information technology or related fields.
• Background in machine learning and bioinformatics
• Experience with analysis of next-generation sequencing data, especially establishing bioinformatics analysis pipeline for RNA-sequencing data and down-stream analysis of the gene-expression data.
• Experience in analyses of non-coding RNAs is an advantage.
• Experience with modeling omics data in medical applications is an advantage.
• Experience with employing high performance computers and parallel processing.
• Strong skills in programming using both R and C/C++.
• Personal characteristics: Well-informed and curious concerning issues of health, biology and statistical problems; thoroughness in dealing with research data; interest and persistence in learning new tasks; ability to collaborate in a multidisciplinary group
Terms and conditions
The doctoral student will be employed on a doctoral studentship maximum 4 years full-time.
Application process
Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions.
Your application should contain the following documents:
• A personal letter and a curriculum vitae (Swedish or English)
• Degree projects and previous publications, if any (Swedish or English)
• Any other documentation showing the desirable skills and personal qualities described above (Swedish or English)
• Documents certifying your general eligibility (see A above)
• Documents certifying your specific eligibility (see B above)
Selection
A selection will be made among eligible applicants on the basis of the ability to benefit from doctoral education. The qualifications of the applicants will be evaluated on an overall basis.
Karolinska Institutet uses the following bases of assessment:
• Documented subject knowledge of relevance to the area of research
• Analytical skill
• Other documented knowledge or experience that may be relevant to doctoral studies in the subject.
All applicants will be informed when the recruitment is completed.
Want to make a difference? Join us and contribute to better health for all
Varaktighet, arbetstid
100%. Tillträde: According to agreement Visstidsanställning
Publiceringsdatum2020-07-20ErsättningMonthly salary
Så ansöker duSista dag att ansöka är 2020-08-10
Klicka på denna länk för att göra din ansökanFöretagKarolinska Institutet,
Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "2-2839/2020".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Karolinska Inst (org.nr 202100-2973)
Arbetsplats Karolinska Institutet,
Jobbnummer 5299463
Observera att sista ansökningsdag har passerat.