Postdoc in Experimental Clinical Genetics (PA2024/1536)

Updated: about 2 months ago
Job Type: FullTime
Deadline: 26 May 2024

Description of the workplace
At the Division of Clinical Genetics, Associate Professor Karolin Hansén Nord heads a research group that investigates complex genetic changes in cancer. Such changes often occur in difficult-to-treat cancers, but the underlying mechanisms and their significance for tumor development are still largely unknown. Dr. Hansén Nord's research group studies this phenomenon in primary skeletal tumors with the aim of finding new ways for cancer treatment. Here you can read more about the ongoing research .

Within the group, we strive to maintain a good working environment based on mutual respect and consideration. We constantly strive to improve the conditions for work, development and participation for all employees.

We are now looking for a postdoc in cancer genetics, with a focus on bioinformatics. Join our team as we delve into the complexities of primary bone tumors.

What we offer

Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. We also have a flexitime agreement that provides good conditions for work/life balance.

Read more on the University website about being a Lund University employee Work at Lund University

Work duties
In this role as a postdoc, you'll take charge of bioinformatics analyses, utilizing state-of-the-art methods to examine data obtained from massively parallel sequencing of primary tumor tissue and cell models. Your contributions will be pivotal in uncovering acquired genetic alterations crucial to understanding tumor development.

In addition to your bioinformatic responsibilities, you'll play an integral part in knowledge dissemination. This includes publishing articles in esteemed scientific journals and presenting findings at conferences, enriching the scientific community's understanding of bone tumor biology.

Occasional travel may be necessary for conference attendance and collaborations. Your commitment to meticulous research and collaborative spirit will drive the progress of this project.

To qualify for the position, the applicant must have a PhD or an international degree deemed equivalent to a PhD, within a subject relevant for the position (i.e. life sciences, preferably with a focus on the topic of the project), completed no more than three years before the date of employment decision. Under special circumstances, the doctoral degree can have been completed earlier.

Requirements for employment are:

  • Doctoral degree (PhD) in biomedicine, medical biology, bioinformatics, or a related field
  • Documented experience in analyzing global genome and transcriptome sequencing data from sarcoma
  • Proficiency in programming languages such as Python and R
  • Familiarity with bioinformatics tools and databases
  • Experience in developing bioinformatics tools
  • Strong communication skills
  • Fluency in both spoken and written English. 

Additional qualifications for the position are:

  • Prior publication record in relevant scientific journals
  • Ability to work effectively in a multidisciplinary team

Great emphasis will be held on personal suitability. The evaluation of applicants will take account of their previous publications, research profile, experience and knowledge.

Further information
The employment is a full-time position limited to 3 years. The employment is time-limited according to the agreement, "Agreement on limited-time employment as postdoctoral researcher-2022-02-01". Start date is June 1st, 2024, or according to agreement.

How to apply
You apply for the position via the University’s recruitment system. The application is to include a personal letter describing how you meet the qualification requirements and why you are interested in the position. The application is also to include a CV with a list of publications, a general description of previous research work, and a copy of the PhD diploma and other documents you wish to highlight.

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