Data scientist for the National Health Data Science Sandbox for Training and Research Center for Health Data Science (HeaDS), Faculty of Health and Medical Science, University of Copenhagen is hiring a data scientist for a national "sandbox" infrastructure in health data science. The position is for five years and starting 1 April 2021 or as soon as possible. *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 and headed by Professor Anders Krogh at the Center for Health Data Science at UCPH. The Sandbox project is currently coordinating recruitment of staff for all partners: KU: Coordinates tools and data for transcriptomics, single cell and image analysis AAU: Coordinates heath 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 U-cloud DTU: Coordinates data and tool curation, social media and wearables data, interoperability *About Center for Health Data Science:* The aim of the newly established Center for Health Data Science, launched in March 2020, is to strengthen data science research and use, at the Faculty of Health and Medical Sciences. The Center is headed by professor Anders Krogh, and will function as a hub for research groups throughout the Faculty to establish data science as a topic of research in its own right. The data science lab within the Center provides data science support for all research groups at SUND and will be in charge of courses to improve the data science skills of the biomedical researchers in-house. The long-term goal of the Center is to house multiple research groups in health data science. Our philosophy is a relaxed work environment driven by inspired and independent people, and we hope that our new data scientists will help us build upon this. *Data Scientist* The main task of the data scientists is to develop the sandbox infrastructure. You will be responsible for developing part of the infrastructure and for supporting users. You will work closely together with four other data scientists at the other participating universities, and you will be mainly responsible for some selected types of data and corresponding tools. You will refer to the coordinator of the Sandbox, who will be hired at HeaDS. *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 Familiarity with Linux Additionally, you should be able to tick off several of these points: You have experience with:You are familiar with sensitive medical data and GDPR compliance rules RNA-seq data (mapping, quantification, down-stream analysis). Single cell analysis (RNA, DNA) Analysis of biomedical images You are well-versed in working with large datasets, e.g., storage, data management, and computing Valued personal competencies: Independent and creative Outgoing and enjoying to provide advice within your field of expertise Proficient in English Flexible and interested in taking on different tasks *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 (number of years of relevant work experience), with the possibility to negotiate a salary supplement based on prior experiences and qualifications. There is a monthly contribution to a pension fund (17.1% of the salary). How to apply: Your online application must be submitted in English by clicking ‘Apply now’ below. 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 28 February 2021 at 23:59 CEST. Applications and/or any material received after the deadline will not be taken into consideration. Info Application deadline: 28-02-2021 Employment start: 01-04-2021 Working hours: Full time Department/Location: Center for Health Data Science, SUND, KU. APPLY NOW Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career. Contact Anders Krogh E-mail: akrogh@di.ku.dk Info Application deadline: 28-02-2021 Employment start: Start as soon as possible Working hours: Full time Department/Location: Center for Health Data Science If you apply for this position please say you saw it on Medicinoxy

Data scientist for the National Health Data Science Sandbox for Training and Research

Center for Health Data Science (HeaDS), Faculty of Health and Medical Science, University of Copenhagen is hiring a data scientist for a national "sandbox" infrastructure in health data science. The position is for five years and starting 1 April 2021 or as soon as possible.

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 and headed by Professor Anders Krogh at the Center for Health Data Science at UCPH.

The Sandbox project is currently coordinating recruitment of staff for all partners:
KU: Coordinates tools and data for transcriptomics, single cell and image analysis
AAU: Coordinates heath 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 U-cloud
DTU: Coordinates data and tool curation, social media and wearables data, interoperability

About Center for Health Data Science:

The aim of the newly established Center for Health Data Science, launched in March 2020, is to strengthen data science research and use, at the Faculty of Health and Medical Sciences. The Center is headed by professor Anders Krogh, and will function as a hub for research groups throughout the Faculty to establish data science as a topic of research in its own right. The data science lab within the Center provides data science support for all research groups at SUND and will be in charge of courses to improve the data science skills of the biomedical researchers in-house. The long-term goal of the Center is to house multiple research groups in health data science. Our philosophy is a relaxed work environment driven by inspired and independent people, and we hope that our new data scientists will help us build upon this.

Data Scientist

The main task of the data scientists is to develop the sandbox infrastructure. You will be responsible for developing part of the infrastructure and for supporting users. You will work closely together with four other data scientists at the other participating universities, and you will be mainly responsible for some selected types of data and corresponding tools. You will refer to the coordinator of the Sandbox, who will be hired at HeaDS.

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
Familiarity with Linux

Additionally, you should be able to tick off several of these points:

You have experience with:You are familiar with sensitive medical data and GDPR compliance rules
- RNA-seq data (mapping, quantification, down-stream analysis).
- Single cell analysis (RNA, DNA)
- Analysis of biomedical images

You are well-versed in working with large datasets, e.g., storage, data management, and computing

Valued personal competencies:

Independent and creative
Outgoing and enjoying to provide advice within your field of expertise
Proficient in English
Flexible and interested in taking on different tasks

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 (number of years of relevant work experience), with the possibility to negotiate a salary supplement based on prior experiences and qualifications. There is a monthly contribution to a pension fund (17.1% of the salary).

How to apply: Your online application must be submitted in English by clicking ‘Apply now’ below. 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 28 February 2021 at 23:59 CEST.

Applications and/or any material received after the deadline will not be taken into consideration.

Info Application deadline: 28-02-2021
Employment start: 01-04-2021
Working hours: Full time
Department/Location: Center for Health Data Science, SUND, KU.

APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.