Assistant researcher within Protein Structure and Bioinformatics

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 46 000 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

More information

We are now looking for a assistans researcher in bioinformatics. The position is full-time for 1 year according to a central agreement on temporary employment  The desired start date is May 1, 2023 or by agreement.

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.

The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.

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Type of employment Special fixed-term employment
Contract type Full time
Number of positions 1
Full-time equivalent 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2023/748
Contact
Mauno Vihinen, 046-2220000
Maria Palmkron, personalsamordnare, 046-2224076
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
Published 14.Mar.2023
Last application date 10.Apr.2023 11:59 PM CEST
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