Postdoctoral researcher in protein bioinformatics

 

Medicinska fakulteten, Institutionen för experimentell medicinsk vetenskap

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 45 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Description of the workplace
Protein Structure and Bioinformatics group investigates genetic and other variations and their effects on DNA, RNA and protein, on structural, functional and other levels. We have developed several of the most reliable variation effect predictors as PON-P2 and PON-All for variant pathogenicity, PON-Sol and PON-Stab for molecular effects and PON-mt-tRNA and PON-BTK for molecule-specific predictions. We use and develop bioinformatic methods to reveal the significance of the variants especially in the relation of diseases.

About the project

This post-doctoral project is part of the DEEPEN-iRBD consortium funded by ERA Permed (EU) that aims at defining a model for early risk stratification, diagnosis, treatment, and prognosis of patients with REM sleep behavior disorder (iRBD). In this position you will implement pathogenicity model for the condition for diagnostic and prognostic purposes.

We offer

Lund University is a governmental authority, which means you get special benefits, generous holidays, and a favorable occupational pension. Read more on the university's website about being employed at Lund University, Work with us

Work duties and responsibilities

A predictive computer model will be developed based on clinical information from our collaborators. The project consists of organisation and harmonization of clinical data, development of measures for the model, impelementation of the model, its testing and validation with patient data.

Qualifications

Requirements 

  • Candidate should have a PhD degree in bioinformatics, computational biology or on a related field
  • Background in statistics required.
  • Knowledge in programming, databases and data analysis
  • Excellent skills in oral presentation and good writing skills
  • Expertise on working in Unix/Linux environments
  • Programming skills, preferably on Python

The successful candidate should have experience within some of the following areas:

  • Competences within medical statistics and statistical programming, preferably in R
  • Expertise in genomic data analysis

About the employment

The employment is a fixed-term employment of two years, 100% with a start date of 2023-07-01 (July 1st) or as agreed. As a postdoctoral fellow, you are expected to move to Sweden as the work will be carried out on site.

The employment is time-limited to a minimum of two years, a maximum of three years according to the collective agreement on limited-time employment as a postdoctoral fellow (Arbetsgivarverket). An appointment as a postdoctoral fellow is intended as an initial step in the career and as an opportunity to further deepen and broaden research competence.

How to apply

The position is sought via the university's recruitment system. The application must include a personal letter in which you describe how you meet the qualification requirements and why you are interested in the position. The application must also contain a CV, including a list of publications, a general description of previous research work, a copy of the doctorate and anything else you wish to refer to (copies of diplomas, grades, information for references, letters of recommendation, etc.) Also attach a research project plan with your application.

More about the faculty of medicine

Type of employmentTemporary position
Contract typeFull time
Number of positions1
Full-time equivalent100 %
CityLund
CountySkåne län
CountrySweden
Reference numberPA2023/1499
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SACO:Saco-s-rådet vid Lunds universitet, kansli@saco-s.lu.se
  • SEKO: Seko Civil, 046-2229366
Published28.Apr.2023
Last application date11.Jun.2023 11:59 PM CEST

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