Data Science Coordinator to SciLifeLab Lund
Lunds universitet, Medicinska fakulteten, Inst för laboratoriemedicin
Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 45 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.
Description of the work place
SciLifeLab (https://www.scilifelab.se) is a national research infrastructure (RI) for molecular life sciences, assigned by the Swedish government to provide cutting-edge technology and expertise to Swedish researchers. SciLifeLab’s vision is to enable groundbreaking, interdisciplinary research that would otherwise not be possible to conduct in Sweden, and to promote research with a societal impact.
To further increase the visibility and strengthen SciLifeLab as a resource a national level, its board decided in 2021 to establish sites at four universities outside the host universities in Mälardalen, one of which is located in Lund. SciLifeLab Lund currently consists of eight cutting-edge RIs, focusing on genomics, proteomics, imaging, structural biology, drug development and bioinformatics. The site is led by a Director and functions as a coordinating umbrella unit, through which the included RIs can interact with leading RIs and other key stakeholders across the country.
SciLifeLab Lund is now looking for a driven, knowledgeable and outgoing data science coordinator who wants to work in a key role to promote the further advancement of SciLifeLab.
Lund University is a state authority, which means you get special benefits, generous holidays and a favorable occupational pension. Read more on the university’s website about being employed by us Work with us
Duties and Responsibilites
Your primary responsibility will be to support the cutting-edge research infrastructures at SciLifeLab Lund in the broad and increasingly important area of research data management (RDM). You will be a consultant and trainer for associated infrastructures to further improve, streamline and harmonize current RDM practices. You will collaborate with research infrastructure experts and managers to understand the overall RDM and associated IT needs, and together with the SciLifeLab Lund Director and management group outline a strategy to address these. A particular focus will be to identify synergies with the SciLifeLab Data Centre and to and to harmonize RDM solutions between the Data Center and local as well as national stakeholders. You will be the go-to-person for RDM questions and responsible for introducing and fully implementing best-practise routines in the day-to-day service activities at SciLifeLab Lund. Because the position is new, it may be partly defined in dialogue the Director and SciLifeLab Data Centre management.
Requirements for the position are:
- A University degree in a relevant area, e.g. data sciences, computational biology, bioinformatics or other informatics related field (M.Sc. or equivalent).
- Experience of working with research data management, FAIR and Open Science.
- Knowledge about the academic research data lifecycle, preferably with hands-on experience on research data management platforms
- Strong scientific IT skills, including experience in working in a terminal-based Linux environment.
- Excellent oral and written communication skills in English
- Excellent attention to detail and problem-solving skills
- Excellent communication and cooperation skills, strong drive and ability to take initiative.
Meritorious for the position are:
- PhD from a relevant area, e.g. with a strong focus on informatics and/or data analysis.
- Experience of working with bioinformatics, including programming skills in at least one relevant scripting language (e.g. Python or R).
- Experience of working with RDM support, including basic understanding of data annotation, meta data management, data curation and/or work with community standards
- Knowledge about health data or other sensitive data management (e.g. GDPR), data access management, and clinical research
- Experience of version control systems, e.g. Git
- Experience of working within a research infrastructure
- Knowledge of IT security
- Experience in leading and coordinating projects, including planning, organisation and implementation of projects
- Excellent oral and written communication skills in Swedish
Personal suitability will strongly affect the recruitment for this position.
The employment is a permanent full time employment with the desired starting date February
1st 2024 or according to agreement. Probationary employment of 6 months may be applied.
The Job title will be coordinator.
How to apply
The position is applied for via the university’s recruitment system. The application must contain a personal letter in which you describe how you meet the qualification requirements and why you are interested in the position. The application must also contain a CV, including a list of publications, a general description of previous research work, a copy of the diplomas and anything else you wish to refer to (copies of diplomas, grades, information for references, letters of recommendation, etc.)
The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.
The Department of Laboratory Medicine is one of six departments at Lund University’s Faculty of Medicine. We conduct leading research, both broad and specialised, within the field of laboratory medicine, focusing on the onset of disease and how we can improve diagnostics and treatment for patients. Some of our strongest areas with world-class research deal with cancer, genetics and blood.
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