Hiring lab: Lille University, INSERM U1190, Translational Research for Diabetes, Lille, France
The Translational Research Laboratory for Diabetes Unit, INSERM UMR1190, directed by Professor Pattou, is a research unit focused on innovative strategies for the treatment of metabolic disorders and their comorbidities to provide significant advance in patient care. The team is recipient of numerous research grants from national and international institutions (Programme d’Investissements d’Avenir, European Commission, Innovative Medicine Initiative, Agence Nationale de la Recherche, Juvenile Diabetes Research Foundation, Fondation Francophone pour le recherche sur le diabète), and has been awarded by several prizes (National Academy of Medicine, Rachmine Levine scientific achievement award, Matmut award, Fondation de la recherche Médicale award).
Description of workspace
The INSERM U1190, Translational Research for Diabetes, opens a position for a bioinformatician. The team comprises of more than 30 researchers from different backgrounds and academic areas. Surgeons, endocrinologists, biologists, vets, pharmacists and dedicated specialists have all been working together with passion and commitment for 25 years, to better understand the physiopathology of metabolic disorders such as obesity, diabetes and non-alcoholic fatty liver disease. Our main goal has been the development and clinical evaluation of innovative therapies for the most severe forms of diabetes. Our overall strategy is based on a transdisciplinary translational approach organized in two axes: islet transplantation and metabolic surgery, where we follow a similar bench-to-bedside approach associating clinical studies with preclinical or mechanistic research. The unit combines expertise in physiology, clinical and cellular biology to achieve these goals. The unit has a large biobank and database with deep phenotyping including genetics, metabolomics, proteomics and lipidomics providing information on disease etiology, progression as well as outcome and treatment. Omics-information combined with extensive phenotyping allows a systems medicine approach to dissect the complexity of diabetes.
A successful candidate will handle requests and deliver short and long-term bioinformatics solutions to non-bioinformatician scientists from INSERM U1190. The support includes involvement in long-term research projects, analyses in short-term projects and consultations. 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 utilize available data and resources.
The Data scientist/Bioinformatician will have strong skills for large-scale population studies. The candidate will work with large-scale data base such as the French nationwide healthcare data system (SNDS) and UK biobank and will take charge of design conception, writing protocol, statistical analyses based on databases notably on SNDS and UK biobank.
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.
- Proficiency in R
- Experience in data analysis and data mining to identify trends and produce meaningful data visualizations. Experience in using common bioinformatics tools and statistical methods. 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, favoring 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 prioritize and comply with deadlines.
- Documented oral and written proficiency in English.
Other preferred skills
- Knowledge of next generation sequencing pipelines and experience manipulating, analyzing, and annotating large biological data sets (e.g., RNA-seq, SNPs arrays, WGS, ChIP-seq, ATAC-seq), both in exploratory and pipelined fashions
- Experience with multi-omics data integration.
- Experience with metagenomic and single-cell data analyses.
- Outstanding communication skills (verbal and written) including public speaking and poster presentation.
- Experience of working in an international environment.
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.
Contact: francois.pattou@univ-lille.fr
