Bioinformatician at LUDC - Hiring in process/Finished, not possible to apply

Description of workplace

Lund University Diabetes Center (LUDC; www.ludc.med.lu.se) hereby announces a position as a bioinformatician. LUDC is one of the largest diabetes research centers in the world with approximately 300 researchers and employees working to improve the diagnosis, prevention and treatment of diabetes. The center combines expertise in genetics, epidemiology, statistics, bioinformatics, molecular and cell biology, physiology and clinical diabetes and endocrinology to achieve these goals.

A central theme of LUDC is to develop precision medicine to improve the health and quality of life of diabetes patients. The position as bioinformatician is located within the Diabetes and Cardiovascular Disease research group led by Professor Marju Orho-Melander and is located at the Clinical Research Center (CRC) in Malmö.

The applicant is invited to apply for a full-time permanent position (100%) as a bioinformatician at LUDC. The employment begins with a six-month probationary period. Preliminary start date is 2023-09-01 or as agreed.

What we offer

Lund University is a public authority, which means that you will have special benefits, generous annual leave and an advantageous occupational pension. We also have a flexitime agreement that creates good conditions for work/life balance. Read more on the University’s website about being a Lund University employee, Work at Lund University.

Duties and areas of responsibility

We are looking for a qualified candidate who will be central to the continued development of advanced bioinformatics within, among other things. intestinal flora, genetics, diet, drugs and metabolites and its importance for cardiometabolic diseases within the framework of Professor Marju Orho-Melander's research group Diabetes and cardiovascular disease.

The project will primarily focus on investigating the relationships between gut flora, genetics, diet, drugs and metabolites and the risk of future diabetes and cardiovascular disease in population-based studies.

We expect the applicant to be an experienced bioinformatician who can analyze large complex datasets using complex statistical and bioinformatics methods, who can summarize and present the results in a report including publication-ready tables and figures, as well as contribute to article writing.

Eligibility and Qualifications

• PhD in bioinformatics, biostatistics, biophysics or related field, with a proven track record in applying quantitative methods for data analysis as well as solid programming experience.
• A proven track record in applying quantitative methods in data analysis tasks and programming as well as high performance computing.
• Knowledge of next-generation sequencing pipelines and experience analyzing and large biological data sets
• Knowledge of R and biostatic analysis.
• Knowledge and experience of other programming languages (eg Python).
• Solid knowledge of GNU/Linux and "bash scripting".
• Experience in data analysis and data mining to identify trends and produce meaningful data visualizations.
• Experience using common bioinformatics tools and statistical methods (eg DESeq, edgeR, GATK, PLINK, STAR, BWA, Salmon, Kallisto).
• Experience with web-based bioinformatics tools and public biological databases.
• Software design and implementation using Java.
• Can collaborate in an interdisciplinary team.
• Self-motivated, flexible and able to work independently in a well-documented way, to manage several projects in parallel and to prioritize and meet deadlines.
• Documented oral and written language skills in English.

Furthermore, the following are considered meritorious:

• Experience analyzing large microbiome datasets at the species (e.g. metagenomic species counts and abundances) and gene (e.g. expression of functions in terms of KEGG orthologs) level, as well as experience conducting exploratory, hypothesis testing and hypothesis generating analyzes.
• Good knowledge of enzyme catalysis and protein action mechanisms.
• Experience in metabolomics, pathway analysis and cardiometabolic disease.
• Several years of research experience.
• We also place importance on personal qualities and like to see individuals who are motivated, take initiative, are flexible, detail-oriented and can work independently in a well-documented way.

Other information

The employment is a full-time, permanent employment, which will begin with a six-month probationary period. Preliminary start date is September 1st, or as agreed.

How to apply 

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, publication list and contact information for 3 references.