Doctoral student position in computational analysis of splicing

Do you want to contribute to better health for all?

The research group

The Ziegenhain lab is working on shedding light on central molecular processes in human cells, in particular with regards to the control of alternative splicing of transcribed mRNAs.
For this, the lab develops and employs cutting edge single-cell sequencing and computational approaches. The research group is part of the Division of Medical systems bioengineering at the department of Medical Biochemistry and Biophysics (MBB).

The doctoral student project and the duties of the doctoral student

Alternative splicing is a core mechanism essential for specifying cellular identities and correct functions in all human tissue contexts. While this topic has been studied intensively, its patterns and implications are not fully understood. Within this PhD project, we aim to develop computational tools to improve analysis splicing in cutting edge single-cell sequencing data. The doctoral student will develop novel statistical tools and apply them to datasets with the aim to study neuropsychiatric diseases. The project will require capacity to work independently, but also in a collaborative manner. 

What 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:

1. have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or
2. 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
3. have acquired substantially equivalent knowledge in some other way in Sweden or abroad.*

Follow the instructions on the web page Entry requirements (eligibility) for doctoral education.

*If you claim equivalent knowledge, follow the instructions on the web page Assessing equivalent knowledge for general eligibility for doctoral education.

B) 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 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.

(A) and (B) can only be certified by the documentation requirement for doctoral education.

Skills and personal qualities

Apart from meeting the general and specific eligibility requirements for doctoral students, the successful candidate will also need the required skills and personal qualities described below.

Required

• Good proficiency in computational data analysis techniques (eg. Shell scripts, R or python) and previous experience in analysis of single cell sequencing data 
•  Good communication skills. 
•  Self-driven motivation to pursue research with the ability to be flexible and engaged yet organized and goal oriented. 

Desirable:

• Knowledge of NGS and single-cell data generation workflows 
• Experience in applying advanced statistical models 
• Experience in analysis of alternative splicing patterns 

 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. We prefer that your application is written in English, but you can also apply in Swedish.

Your application must contain the following documents:

- A personal letter and a curriculum vitae
- Degree projects and previous publications, if any
- Any other documentation showing the desirable skills and personal qualities described above
- 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.

• https://ki.se/en/mbb/ziegenhain-lab
• https://ki.se/en/mbb/department-of-medical-biochemistry-and-biophysics

Want to make a difference? Join us and contribute to better health for all