PhD Position for Developing a Federated Metadata Repository for Clinical Data

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The Department of Mathematics and Computer Science at the University of Southern Denmark for the Computational Biology group chaired by Associate Professor Richard Röttger and Novo Nordisk jointly invite applications for a PhD position for the creation of a federated metadata platform for sensitive clinical data to be filled as soon as possible.

A large roadblock of medical research is the difficult access to sensitive data which hinders the training of complex and powerful machine learning concepts. This issue is amplified when considering rare diseases with low incidence numbers per hospital. To enable the identification of suitable patients for clinical studies amenable to machine learning, a privacy-preserving metadata platform is required. Here, the actual patient data remains at the site of storage, but virtual cohorts can be identified according to clinical phenotypes, symptoms and diagnoses and later used for federated machine learning approaches without breaching patient privacy.

We are seeking outstanding candidates with strong analytical and problem solving skills, who are strong in written and oral communication (in English), and have documented experience in the development of complex compute systems. The applicant should be fluent in the state-of-the-art web-development frameworks, virtualization techniques as well as database technologies. Expertise in clinical data science and machine learning, as well as computer security and data privacy are welcome.

This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 101034427. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.

Application deadline: 19 October 2022.

Please see the full call, including how to apply, on www.sdu.dk.

Skriv i din ansøgning, at du fandt jobbet på ofir.dk


PhD Position for Developing a Federated Metadata Repository for Clinical Data

The Department of Mathematics and Computer Science at the University of Southern Denmark for the Computational Biology group chaired by Associate Professor Richard Röttger and Novo Nordisk jointly invite applications for a PhD position for the creation of a federated metadata platform for sensitive clinical data to be filled as soon as possible.

A large roadblock of medical research is the difficult access to sensitive data which hinders the training of complex and powerful machine learning concepts. This issue is amplified when considering rare diseases with low incidence numbers per hospital. To enable the identification of suitable patients for clinical studies amenable to machine learning, a privacy-preserving metadata platform is required. Here, the actual patient data remains at the site of storage, but virtual cohorts can be identified according to clinical phenotypes, symptoms and diagnoses and later used for federated machine learning approaches without breaching patient privacy.

We are seeking outstanding candidates with strong analytical and problem solving skills, who are strong in written and oral communication (in English), and have documented experience in the development of complex compute systems. The applicant should be fluent in the state-of-the-art web-development frameworks, virtualization techniques as well as database technologies. Expertise in clinical data science and machine learning, as well as computer security and data privacy are welcome.

This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 101034427. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.

Application deadline: 19 October 2022.

Please see the full call, including how to apply, on www.sdu.dk.

Skriv i din ansøgning, at du fandt jobbet på ofir.dk


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