Bioinformatician to the unit Exodiab

Lunds Universitet; Malmö kommun; On-site; SEK 650,000 - 900,000; Full time

Job summary

Lund University invites applications for a bioinformatician within the Diabetes Centre (LUDC) at Malmö. The successful candidate will join the Bioinformatics Unit to provide computational support, develop and maintain pipelines for genomics, epigenomics, transcriptomics, proteomics and metabolomics data, and collaborate with clinicians and researchers across disciplines.

The role involves quality control, pipeline development, data analysis, manuscript preparation, and staying current with

Qualifications

• PhD in Bioinformatics, Molecular Biology, Statistics, Mathematics, Computer Science, or a related field.
• Proven ability to apply quantitative methods to data analysis tasks and to work with computing clusters.
• Hands-on experience with omics data (single-cell, bulk, spatial RNA-seq; ChIP-seq; methylation; eQTL).
• Proficiency in R and familiarity with UNIX/BASH.
• Experience with biostatistics, ML frameworks, and public biological databases.
• Strong collaboration across interdisciplinary teams and effective time management.
• Proficiency in English, both spoken and written.

Responsibilities

• Provide bioinformatics and computational support to LUDC researchers.
• Develop, implement, and maintain pipelines for diverse omics data.
• Perform quality control, processing, and analysis of data for HTL and related resources.
• Communicate results to non-bioinformaticians and contribute to manuscripts.
• Train and support staff in bioinformatics tools and workflows.
• Keep up-to-date with developments in bioinformatics and AI/ML methods.
• Collaborate across disciplines and contribute to data visualization and publications.

Skills

R programming

BASH/UNIX

Data visualization

Machine learning

Bioinformatics pipelines

Communication with non-specialists

Education

PhD in Bioinformatics or related field

Tools

Git

Snakemake

Quarto

Single-cell / RNA-seq / ChIP-seq analysis tools

Job description

Lund University, Faculty of Medicine, Dept. Clinical Science, Malmö

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Description of workplace

The Lund University Diabetes Centre (LUDC; www.ludc.lu.se) opens a position for a bioinformatician. LUDC is one of the largest diabetes research centres in the world with approximately 300 investigators and staff members working towards improved diagnosis, prevention and treatment of diabetes. The centre combines expertise in genetics, epidemiology, statistics, bioinformatics, molecular and cellular biology, physiology and clinical diabetes, and endocrinology to achieve these goals. LUDC has large unique biobanks and databases with genome‑wide data linked to national registries providing information on disease etiology, progression as well as outcome and treatment. The centre has in‑house platforms for most molecular genetic methods and metabolomics. Omics‑information combined with extensive phenotyping allows a systems medicine approach to dissect the complexity of diabetes. A central theme at LUDC is to develop precision medicine to improve health and the quality of life of patients with diabetes.

We Offer

Lund University is a public authority, which means that you will benefit from specific advantages, generous annual leave, and an attractive occupational pension scheme. We also offer flexible working hours, providing good conditions for balancing work and personal life.

Read more about working at Lund Universityhere

Duties and Responsibilities

The successful applicant will be part of the Bioinformatics Unit at LUDC, which includes two bioinformaticians, a biostatistician, a data manager, a computer engineer, and an IT‑data manager. The Unit provides bioinformatics, biostatistics, and computational support to anyone affiliated with LUDC, as well as access to a high‑performance computing environment. The support includes involvement in long‑term research projects, analyses in short‑term projects, consultation, and training.

A successful candidate will handle requests and deliver short and long‑term bioinformatics solutions to non‑bioinformatician scientists at LUDC. As such, they should be able to communicate effectively with non‑specialists and manage their time across multiple projects. The successful applicant will contribute to manuscript preparation, with state‑of‑the‑art analyses and publication quality figures.

A successful candidate will be involved in all aspects of bioinformatics/computational pipeline development, implementation and management for a diverse set of ‘omics data, including but not limited to genomics, epigenomics, transcriptomics, proteomics, metabolomics, as well as clinical data and metadata. The candidate is also expected to independently follow the development in the field of bioinformatics, to work on improving existing pipelines and present alternative solutions on how to best utilise available data and resources.

Another important part of the work that the successful candidate will perform includes quality control, processing, and analysis of data for the Human Tissue Laboratory (HTL), a key resource for LUDC researchers. The HTL collects human tissue samples for research purposes and performs central analyses on these materials, available to colleagues at the LUDC and Uppsala University.

The successful applicant is also expected to participate in the training and support of LUDC staff and scientists in the selection and use of bioinformatics tools.

Qualifications

• PhD in Bioinformatics, Molecular Biology, Statistics, Mathematics, Computer Science, or a related field.
• A proven track record in applying quantitative methods to data analysis tasks, as well as programming and computing cluster experience.
• Hands‑on experience on manipulating, analysing, and annotating different types of omics data from high throughput technologies such as single‑cell, bulk and spatial RNA‑seq, ChIP‑seq, CUT&RUN, DNA methylation, eQTL mapping, and immune repertoire sequencing, both in exploratory and pipelined fashions.
• Proficiency in R and knowledge and experience of BASH/UNIX.
• Experience of biostatistics and machine learning algorithms and frameworks (e.g. scikit‑learn, Keras, Tensorflow).
• Experience in data analysis and data mining to identify trends and produce meaningful data visualisations. Experience with web‑based bioinformatics tools and public domain biological databases.
• Highly capable of being involved collaboratively with an interdisciplinary team, including laboratory scientists, medical doctors, epidemiologists, bioinformaticians, statisticians, and data analysts.
• We will also pay attention to personal attributes, favouring individuals that are self‑motivated, flexible and that have the ability to work independently in a well‑documented way, to manage multiple projects in parallel and to prioritise and comply with deadlines.
• Documented oral and written proficiency in English.
• Experience working with reproducible research tools (e.g., Quarto, Git, Snakemake or other workflow languages and container solutions).
• Experience with artificial intelligence (AI), machine learning, and deep learning for the analysis of biological and biomedical data is considered.
• GitHub profile with code examples is advantageous.
• Experience in any other programming language (e.g., Python).
• Experience with multi‑omics data integration.
• Experience with analysis of metagenomics and (phospho)proteomics data.
• Outstanding communication skills (verbal and written) including public speaking and poster presentation.
• Experience in training and/or teaching.
• Experience of working in an international environment.

Other information

The position is a permanent full‑time appointment (100%), with a starting date of 1 October 2026 or as otherwise agreed. A six‑month probationary period may be applied.

How to apply

Applications must be submitted through the University’s recruitment system.

The application should include a cover letter explaining your motivation for applying for the position and how your qualifications match the requirements of the role. The application should also include a CV, degree certificates, a list of publications, and contact information for three references.