DC10 Open Position: Correlation studies between spectrometric, spectroscopic, biochemical, and microbiome sequencing data after intake of bilberry and olive bioactives
General information
BioTransform is a multidisciplinary doctoral network aiming to investigate the role of health promoting constituents found in food products (food bioactives – FB), focusing on their metabolism. Even though the role of the gut microbiome is nowadays considered imperative in health homeostasis and disease prevention, the available information regarding gut microbiome-driven FB biotransformations after food intake remains scarce and highly unexplored even regarding common food products. Thus, the goal of BioTransform is to combine state-of-the-art methods, technologies and approaches in a complementary and integrated way to reveal the role of metabolism in the digestive tract, and the impact of FB and their metabolites (biotransformation products) on health and disease. To this end, human pilot studies, in vitro and in silico metabolism simulation methods, gut microbiome sequencing, metabolite profiling and metabolomics will be employed. The BioTransform objectives will be accomplished through 11 complementary doctoral projects from 9 education and research entities, additionally including the participation of 6 associated partners from the private sector and one from academia.
BioTransform will recruit 11 enthusiastic, talented and driven doctoral candidates (DCs) who are highly motivated to become interdisciplinary and competent researchers and professionals in the area of health and food science. All recruited fellows will be enrolled in a PhD degree programme and will be employed full-time in this interdisciplinary and intersectoral network.
What BioTransform will offer
- A thorough scientific education in the frame of a doctoral training programme.
- A strong involvement in a cutting edge European research project with high international visibility.
- DCs will participate in complementary international secondments to other organisations involved in the BioTransform network, and in specific international courses, workshops, conferences and outreach activities.
- A prestigious three-year MSCA Fellowship.
- A competitive salary including mobility and family allowance.
- Depending on the host organisation, and following a positive evaluation, additional funding for a maximum of 12 months may be provided to complete a four-year doctoral degree.
- The expected start date is 1/3/26, 1/5/26 or 1/7/26 according to the specific job descriptions.
- Each DC will be supervised by an interdisciplinary and intersectoral Supervisory Team.
Eligibility criteria
- Supported researchers: Applicants must be doctoral candidates, i.e. not already in possession of a doctoral degree at the date of the recruitment. Researchers who have successfully defended their PhD thesis but not yet received their degree are not considered eligible.
- Mobility rule: Researchers must not have resided or carried out their main activity (work, study, etc.) in the country of the recruiting beneficiary for more than 12 months in the 36 months immediately before their recruitment date.
- Local requirements: PhD applicants must fulfil the local requirements of the recruiting institutions listed in the specific job descriptions.
General Selection Criteria
- You must hold a Master’s degree (or equivalent, see specific job descriptions for more information if applicable) in a relevant field for the corresponding vacancy or you will have obtained it by the date of recruitment.
- You can demonstrate excellent study results.
- You have a relevant scientific background, with the necessary academic skills.
- You have strong English language skills, both verbally and in writing.
- You have the motivation to successfully obtain a doctoral degree through an individual research project.
- You act with attention to quality, integrity, creativity and cooperation.
- You are highly motivated to share your research findings at international research events through engaging poster and oral presentations, as well as publish high-quality papers in international (peer-reviewed) journals.
- You are willing to participate in international meetings, trainings and secondments, as international mobility is a key concept for MSCA Doctoral Networks fellows.
- Additional institutional selection criteria may apply. If applicable, these can be found in the specific job descriptions.
Application Procedure
- You can apply for different positions simultaneously.
- All applications must be submitted through the online job application platform on the BioTransform website https://biotransform-msca.eu/. Relevant deadlines are mentioned in the specific job descriptions. Click on the ‘Submit your application’ button, complete the online application form and be sure to include a motivation letter, a recent CV (including a transcript of study results), and the contact information of two reference contact persons.
- In some cases it is required to also submit your application through the hosting institute’s website. This will be clearly mentioned in the specific job description if applicable. In these cases you must therefore submit your application twice, at two different websites, for it to be valid.
- The candidates will be pre-selected by the recruiting host institution based on their local HR processes. Interviews with the pre-selected candidates will be held by web conferencing or in person.
- BioTransform will ensure fair and transparent selection of the DCs in line with the Code of Conduct for the Recruitment of Researchers and best practices applicable to the fellows (e.g. ethics, professionalism, use of results) and host institutions (e.g. non-discrimination, working conditions). The network will aim for a gender-balanced and diverse group of DCs.
Job description
DC10: Correlation studies between spectrometric, spectroscopic, biochemical, and microbiome sequencing data after intake of bilberry and olive bioactives
Host institution: Department of Metabolism, Digestion and Reproduction, Imperial College London (ICL), United Kingdom
Supervisor: Dr. Isabel Garcia-Perez, Dr. Joram M. Posma
Co-Supervisors: Prof. Maija Dambrova, Pharmaceutical Chemistry, Riga Stradins University (RSU), Latvia (Academic); Dr. Rene Roth-Ohrang, Finzelberg, Andernach, Germany (Industrial)
Project description
BioTransform is a multidisciplinary doctoral network aiming to investigate the role of health promoting constituents found in food products (food bioactives – FB), focusing on their metabolism. FB coexist with nutrients, but they are biologically active compounds present in our diet and characterised by great structural variability and biological properties. Despite the imperative role of gut microbiota in health maintenance and disease prevention, the available information regarding FB metabolism remains scarce and the biotransformation occurring in the human organism highly unexplored. Thus, the goal of BioTransform is to combine state-of-the-art methods, technologies and approaches in a complementary and integrated way to reveal the impact of FB and their metabolites (biotransformation products) on health and disease. To this end, human pilot studies, in vitro and in silico metabolism simulation methods, gut microbiota sequencing, metabolite profiling and metabolomics will be employed. Metabolites will be biologically profiled through biochemical and cell-based assays. In BioTransform, the metabolism of olive and bilberry FB (secoiridoids, phenols and polyphenols), which are European flagship food products with proven activity in metabolism-related pathologies, will be systematically investigated.
Your tasks
The selected candidate will contribute to an interdisciplinary project at the intersection of metabolomics, microbiome research, nutrition, and data science. Specific tasks will include:
Urine Metabolomics Analysis: Conduct ¹H-NMR-based metabolomic profiling of urine samples to generate detailed datasets and identify key biomarkers and metabolite patterns associated with health and disease.
Gut Microbial Metabolites & Diet: Monitor and analyse gut microbial metabolites, exploring how these are influenced by patients’ dietary habits. This will involve applying machine learning techniques to uncover meaningful correlations and predictive models.
Data Integration Across Studies: Process and interpret metabolomics data generated by other doctoral researchers to investigate links between microbiota composition, metabolite profiles, diet, and biochemical markers across various sample types and populations.
Multiplatform Data Analysis for Health Insights: Integrate data from multiple analytical platforms to assess whether certain metabolites are associated with specific microbiota patterns, and how these relationships may be connected to reductions in oxidative stress and inflammation markers.
Host laboratory
The Imperial College London (ICL) is a UK higher education institution that focuses on the four main disciplines of science, engineering, medicine, and business. Consistently rated amongst the world’s best universities (e.g moved up one place to 2nd in the 2024 QS World University Rankings), ICL is committed to developing the next generation of researchers, scientists, and academics through collaboration across disciplines. ICL was awarded the label “Human Resources Excellence in Research” in 2012. The Department of Metabolism, Digestion and Reproduction within the Department of Nutrition led by Prof Gary Frost, is recognised as a world leader in understanding the effects of nutrition on metabolism and in host-gut microbiota metabolic interactions. Recent REF results highlight the excellence of the department in research, teaching and training. The department has successfully trained more than 40 PhD students. Furthermore, the origins of the field of metabolic phenotyping were initiated by this group in the early 1990s and have since been further developed at Imperial College, establishing the department as a world-leading expert in metabolic phenotyping in clinical research studies.
Secondments This project is carried out in strong collaboration with the following groups, and visits to their laboratories are expected during the project. A willingness to travel and spend time abroad is therefore essential:
- Pharmaceutical Chemistry, Riga Stradins University (RSU), Latvia
- Division of Immunology, Medical University of Graz (MedUniGraz), Austria
- Finzelberg, Andernach, Germany
Specific eligibility conditions and selection criteria
Master’s degree in Computer Science, Statistics, Bioinformatics, or a closely related field.
Required experience/skills: proven programming experience in Python, R, MATLAB, and/or Julia; practical experience with data processing and applying (unsupervised, (semi-)supervised) machine learning methods to big data; ability to communicate (verbal and written) research in English;
Desirable skills: version control using GIT; practical experience with omics data (genomics, transcriptomics, proteomics, metabolomics, and/or microbiome); expertise in traditional (non-machine learning) statistical testing; experience with working with multi-modal data;
Enquiries
For general information about the BioTransform Doctoral Network visit the project website https://biotransform-msca.eu/. For additional information on this project please contact Dr. Isabel Garcia-Perez (i.garcia-perez@imperial.ac.uk)
Required documents
- Motivation letter (limit of 2,500 characters) explaining why you wish to be considered for the fellowship and which qualities and experience you will bring to the role. Also mention from which date onwards you are available.
- A recent CV, including a transcript of study results.
- Contact information of two reference contact persons.
A limited number of applicants will be invited for an interview.