• Assessing statistical approaches for classifying gut microbiomes based on functionality
• Integration of diet, microbiome, gastrointestinal symptom and other host data
• Communicating the results in scientific publications and conference presentations
• Co-supervision of Ph D and MSc students on integrative NGS data analysis (desired, not an absolute requirement)
• Additionally, the candidate is expected to coordinate omics data management in the group and contribute to new research ideas and (co)-applying for grants. Depending on interests and expertise, some teaching on microbiome and/or nutrition or bioinformatics will be available.

• Has a Ph D degree in bioinformatics, computational biology, microbiology, nutrition or other relevant areas (in exceptional cases if other requirements are fulfilled, a candidate with an MSc degree may be considered)
• Has demonstrated expertise in omics data analyses and statistical modelling, preferably in human cohort and/or intervention datasets
• Has proficiency in R and Unix/Linux and knowledge on perl, python or other programming language
• Experience in cloud or HPC computing
• Has solid track record and strong scientific drive
• Ability to work independently and collaboratively in a diverse team environment
• Has strong interpersonal skills with the ability to build scientific relationships
• Has good communication skills and proficiency in verbal and written English
• Previous experience on microbiome research, microbial metabolic modelling and/or nutrition is optimal but not required

• Opportunities for personal development in an enthusiastic, supportive and international team that has strong track record in human microbiome research
• Possibility to produce high quality publications within the FIBRE-MATCH project and optionally also on other research of the group e.g., on the prospective Health and Early Life Microbiota birth cohort data. We encourage candidates to develop their own projects and explore new research directions that can, if desired, support their transition to an independent career.
• National and international networking as part of a multidisciplinary EU-funded project

Haku päättyy: 10.12.2024

Yksikkö: Lääketieteellinen tiedekunta

Alayksikkö: Tutkimusohjelmayksikkö

Tunniste: 3658