PhD positions at the MSCA SHARE-CTD network (m/f/x)

Institution: Faculty of Medicine - The Institute for Medical Information Processing, Biometry, and Epidemiology (IBE)
Remuneration group: following national standards
Full-time / Part-time: Full-time (100%)
Start date: 01.09.2024
Application deadline: 2024-01-31

About us:

SHARE-CTD (Sharing and Re-using clinical trial data to maximise impact) is a doctoral network funded by the European Union involving 9 universities and further 12 academic and non-academic partners (Horizon-MSCA.2022-DN 101120360).

SHARE-CTD aims to train a new generation of biomedical researchers with a deep understanding of processes, values, and merits of clinical trial data sharing. To gain a comprehensive understanding, biomedical researchers need to be trained in fields like data science, trial regulatory, meta-research, as well as ethical, legal and social issues.

SHARE-CTD’s research projects look at best practices as well as measuring impact of preparing data for sharing and using shared data. It is a project on Open Science. It will provide specific role models for an active participation in implementing Open Science in medical research.

We are looking for you:
11 excellent students with a Master's degree or equivalent in the following fields: data science, biostatistics, computer sciences, medicine, clinical trials, (clinical) epidemiology or related disciplines; practical skills in statistical programming (R, Python), preferentially combined with experience in clinical research.

We are looking for you:

PhD positions at the MSCA SHARE-CTD network (m/f/x)

in Munich

Your tasks and responsibilities:

• You will work on a multi-disciplinary area, enhancing the utility of shared clinical trial data while safeguarding its integrity.
• You will contribute to expanding our understanding of data sharing and re-use, tackling issues from data anonymisation to outcome reporting bias.
• You will investigate the real-world impact of clinical trial data sharing on healthcare and medical practices.

Your qualifications:

• You should have a strong background in: data science, biostatistics, computer sciences, medicine, clinical trials, (clinical) epidemiology or related disciplines.
• You should not have a PhD.
• Depending on the project type, knowledge of data analysis, (bio)statistics, machine learning and associated programming skills or medicine, clinical trial regulations, epidemiology, and meta-research are essential.
• You should be able to work independently, take initiative, adopt critical judgment and demonstrate ability to work in team.
• You should be motivated to work with and listen to experts with a clinical, biostatistical, informatic, meta-research, or regulatory background. The project will include several network wide educational events and secondments, for which travel, communication and social skills are required.
• Proficiency in written and spoken English is crucial.
• The candidates can be of any nationality, but must not have resided or carried out his/her main activity in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately prior to his/her recruitment (mobility rule of the EU).

Benefits:

• Integration in an international network of specialists in clinical trial methodology, medical informatics, data science, Meta-Research.
• A full time PhD position in one of the 9 world-renowned research institutions and in the multidisciplinary environment of the SHARE-CTD network, under supervision of and in close collaboration with experts from a wide variety of domains.
• A thorough scientific education and training in all relevant competences to advance the field of data sharing, enabling the possibility to become a world-class researcher and expert in this field.
• The possibility to actively participate in the network’s organisational structure and in international conferences and collaborations.
• A predetermined living allowance (corrected according to the country coefficient of the country of employment), and mobility allowance, and when appropriate a family allowance, long-term leave allowance or special needs allowance integrally transferred to the researchers.

Also possible in a part-time capacity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Open positions:

1. Role of CTDS for validation of prognostic and predictive models for MS patients – Dr. Ulrich Mansmann, LMU München, Germany
2. Impact of clinical trial data sharing – Dr. Florian Naudet, University Rennes, France
3. Innovative approaches to trial data anonymisation and its role for CTDS – Dr. Fabian Prasser, Charité, BIH, Germany
4. Automated screening tools for identifying data sharing, data-re-use and common reporting problems in clinical trials – Dr. Tracey Weisberger, Charité, BIH, Germany
5. Methodology for FAIRification, Data Enrichment and Data Sharing – Dr. Ulrich Sax, University Medical Center Göttingen, Germany
6. Added value of meta-analyses of shared individual patient data (IPD) in mental health – Dr. Ioana Alina Cristea, University of Padova, Italy
7. Towards Understanding and accepting data sharing within patients – Dr. Evelyne Decullier, Hospices Civils de Lyon, France
8. Methodology for cross-design synthesis – Dr. Valentijn de Jong, University Medical Center Utrecht, The Netherlands
9. Using shared historic data to augment prospective clinical trials – Dr. Martin Posch, Medical University Vienna, Austria
10. Evaluating outcome reporting bias in clinical trials – Dr. Leonhard Held, University of Zürich, Switzerland
11. Impact of clinical trial data sharing for pivotal trials in oncology – Dr. Clara Locher, University of Rennes, France

Contact:

For questions about the positions, please write to Prof. Dr. Ulrich Mansmann: mansmann@ibe.med.uni-muenchen.de.

For further information about the positions and the project SHARE-CTD, please visit the following website.

Application is open and only available at https://www.portal.graduatecenter.uni-muenchen.de/ocgc/share-ctd until January 31st 2024.

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https://www.share-ctd.eu/