Data scientist for the National Health Data Science Sandbox for Training and Research
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Odense M
The Protein Research Group at SDU in Odense, Denmark is hiring a data scientist for the national "sandbox" infrastructure in health data science. The data scientist will establish a novel proteomics sandbox research infrastructure. The data scientist will collaborate with other data scientists at SDU and within the National Health Data Science Sandbox.
The position is initially for 3 years and the start date is 1 April 2021, or soon thereafter.
The National Health Data Science Sandbox for Training and Research
Research and training in health data science are greatly needed, but it is complicated by the person-sensitive nature of health data. We are establishing a national infrastructure, a “sandbox”, in which students and researchers can work with data without any risk of leaking personal information. In the sandbox, users will have access to synthetic data that looks like real data as well as tools, computer programs and supercomputing power, exactly as if they worked on a real project, and therefore it will be easy to move from the sandbox to real applications. The Sandbox is funded by the Novo Nordisk Foundation and is a national collaboration between Danish Universities.
The Sandbox project is currently coordinating recruitment of staff at all partners:
KU: Coordinates tools and data for transcriptomics, single cell and image analysis
AAU: Coordinates health register data and tools
AU: Coordinates tools and data in genomics and online teaching tools
SDU: Coordinates tools and data for proteomics and integration with Ucloud
DTU: Coordinates data and tool curation, social media and wearables data, interoperability
Data Scientist
The main task of the data scientists is to develop the sandbox infrastructure. At SDU you will be responsible for developing the proteomics part of the infrastructure and for supporting users. You will be mainly responsible for selected types of data and corresponding tools, including clinical proteomics data, databases, computational tools and Ucloud, and to support users. You will work closely together with the four data scientists at the other participating universities.
Your academic profile
You should hold a MSc or a PhD degree (or similar level of experience) in bioinformatics, computer science, biostatistics, or a field of science relating to data science. You are expected to have:
Additionally, you should be able to tick off several of these points:
Valued personal competencies:
Contact: Professor Ole Nørregaard Jensen, PhD: [email protected]
Terms of Employment
The employment will be as academic officer in accordance with the provisions of the collective agreement between the Danish Government and AC (the Danish Confederation of Professional Associations). Your salary level will be based on seniority, and a supplement may be negotiated. There is a monthly contribution to a pension fund (approximately 17.1% of the salary).
How to apply
Your application must be submitted electronically, preferably in English.
The application must include:
Application deadline: Monday the 1st of March 2021 at 23:59 CEST.
Please note that only applications submitted online by the deadline and consisting of the above listed documents will be considered.
Applications and/or any material received after the deadline will not be taken into consideration.
Application deadline: 1 March 2021
Employment start: 1 April 2021
Working hours: Full time
Location:
University of Southern Denmark
Department of Biochemistry and Molecular Biology
Campusvej 55, DK-5230 Odense M
Denmark
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We recommend that you read how to apply before you apply.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
The position is initially for 3 years and the start date is 1 April 2021, or soon thereafter.
The National Health Data Science Sandbox for Training and Research
Research and training in health data science are greatly needed, but it is complicated by the person-sensitive nature of health data. We are establishing a national infrastructure, a “sandbox”, in which students and researchers can work with data without any risk of leaking personal information. In the sandbox, users will have access to synthetic data that looks like real data as well as tools, computer programs and supercomputing power, exactly as if they worked on a real project, and therefore it will be easy to move from the sandbox to real applications. The Sandbox is funded by the Novo Nordisk Foundation and is a national collaboration between Danish Universities.
The Sandbox project is currently coordinating recruitment of staff at all partners:
KU: Coordinates tools and data for transcriptomics, single cell and image analysis
AAU: Coordinates health register data and tools
AU: Coordinates tools and data in genomics and online teaching tools
SDU: Coordinates tools and data for proteomics and integration with Ucloud
DTU: Coordinates data and tool curation, social media and wearables data, interoperability
Data Scientist
The main task of the data scientists is to develop the sandbox infrastructure. At SDU you will be responsible for developing the proteomics part of the infrastructure and for supporting users. You will be mainly responsible for selected types of data and corresponding tools, including clinical proteomics data, databases, computational tools and Ucloud, and to support users. You will work closely together with the four data scientists at the other participating universities.
Your academic profile
You should hold a MSc or a PhD degree (or similar level of experience) in bioinformatics, computer science, biostatistics, or a field of science relating to data science. You are expected to have:
- Strong programming skill in one of the main languages
- Experience or willingness to learn Python and Java/Kotlin
- Familiarity with Linux
- Familiarity with SQL and/or MongoDB database technologies
Additionally, you should be able to tick off several of these points:
- You have experience with:
- Simulation, generation of synthetic data, pseudonymization
- Proteomics data analysis (LC-MS, quantification, meta-analysis)
- High-performance computing platforms
- Cloud computing
- You are familiar with sensitive medical data and GDPR compliance rules.
- You are well-versed in working with large datasets, e.g., storage, data management, and computing
Valued personal competencies:
- Independent, curious and creative
- Outgoing and enjoying to provide advice within your field of expertise
- Proficient in English
- Motivated by interdisciplinary research projects
- Flexible and interested in taking on different tasks
Contact: Professor Ole Nørregaard Jensen, PhD: [email protected]
Terms of Employment
The employment will be as academic officer in accordance with the provisions of the collective agreement between the Danish Government and AC (the Danish Confederation of Professional Associations). Your salary level will be based on seniority, and a supplement may be negotiated. There is a monthly contribution to a pension fund (approximately 17.1% of the salary).
How to apply
Your application must be submitted electronically, preferably in English.
The application must include:
- A short letter of motivation
- Curriculum vitae including publications
- Masters and PhD diploma (or equivalent)
- References and/or letters of recommendation
Application deadline: Monday the 1st of March 2021 at 23:59 CEST.
Please note that only applications submitted online by the deadline and consisting of the above listed documents will be considered.
Applications and/or any material received after the deadline will not be taken into consideration.
Application deadline: 1 March 2021
Employment start: 1 April 2021
Working hours: Full time
Location:
University of Southern Denmark
Department of Biochemistry and Molecular Biology
Campusvej 55, DK-5230 Odense M
Denmark
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We recommend that you read how to apply before you apply.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 27.1.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- Odense M
- Mandag den 01. marts 2021
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