Bioinformatician at the Data Science Node in Evolution and Biodiversity (DSN-EB)
About the workplace
Do you want to join us and contribute to developing an organization that, after more than 250 years, remains full of curiosity, and maintains a spirit of discovery and tremendous creativity?
The vision statement for the Swedish Museum of Natural History (NRM), is to be the research museum that leads the way as a platform and forum of exchange among researchers, science, and the public. We offer a dynamic environment where professionals from many disciplines and backgrounds work together and are committed to our responsibility to collect data, produce innovative methods, and provide results, all founded in collections-based research. Our scientific research and environmental monitoring cover different aspects of biodiversity, ranging from individual species to ecosystems, as well as diverse evolutionary patterns and processes, both in Sweden and abroad. At the NRM, the Department of Bioinformatics and Genetics (BIO) consists of 30 employees who conduct research, develop systems and applications, and manage national and international infrastructures. BIO is the home unit for innovative, interdisciplinary research on biodiversity and ecosystems and functions as a critical interface at the NRM for computational, biological, and environmental sciences.
The Swedish Biodiversity Data Infrastructure (SBDI, https://biodiversitydata.se/) is an e-infrastructure established in 2021 with its headquarters at the NRM. It provides data and a wide range of tools for mobilization, visualization and analysis. The SBDI consortium includes eleven research institutions across Sweden in support of open data and open science, that is, transparent, accessible knowledge shared and developed within collaborative networks. In practice, the SBDI provides researchers with unified and open access to biodiversity data guided by FAIR principles (Findable, Accessible, Interoperable, and Reusable). The SBDI is a highly collaborative endeavour, hosting the Swedish node of the Global Biodiversity Information Facility (GBIF), the major global infrastructure for biodiversity research, and developing its technical platform with the Living Atlases community (LA).
SciLifeLab, Science for Life Laboratory, is a national research infrastructure for molecular life sciences and is one of the government’s major investments in research infrastructures in Sweden. SciLifeLab’s overall vision is to enable ground-breaking, multidisciplinary research that would otherwise not be possible in Sweden, and to promote that the research leads to societal utility. SciLifeLab consists of ten technology platforms with activities at eleven different universities across the country. To increase visibility of its role as a national resource, in 2021, the SciLifeLab board established national sites at four universities outside the host universities in the capital region. The SciLifeLab Data Center is responsible for IT issues and research data management for SciLifeLab’s technology platforms and other SciLifeLab-organized programs and activities, such as the National Bioinformatics Infrastructure Sweden (NBIS) and the National Research Program for Data-Driven Life Sciences (DDLS).
The DDLS national program constitutes a 12-year initiative funded with a total of SEK 3.1 billion with the mission to accelerate data-driven research and capabilities within the life sciences. One of the four focus areas of the DDLS program is Evolution and Biodiversity. As part of the DDLS initiative, we are establishing a Data Science Node in Evolution and Biodiversity (DSN-EB), hosted by Uppsala University with staff in Uppsala (UU) and Stockholm (NRM). These staff members will form a central role in further strengthening the aforementioned infrastructures and to form a contact point between research projects and infrastructure accessibility.
We are now looking for a bioinformatician with expertise relevant for leading data-driven Swedish research projects in evolution and biodiversity to join the Data Science Node in Evolution and Biodiversity (DSN-EB). This will be one of two WABI (Wallenberg Advanced Bioinformatics Infrastructure) support experts attached to NBIS/SciLifeLab; the other will be placed at Department of Cell and Molecular Biology, UU.
This opportunity would allow you to contribute your skills and experience towards research on ecosystems and biodiversity, working on exciting projects and cutting-edge research within your areas of expertise. This position is a unique opportunity to be part of the larger DDLS framework and to contribute towards establishing an internationally leading role for Sweden in developing data science excellence in biological research. Eventually this will accelerate the development of biological research capabilities in addressing pressing global issues, such as the global biodiversity crisis.
We believe in competence development and competence transfer, and here you have the opportunity to enter a key position in data-driven research projects on evolution and biodiversity. Primary areas of research will include biodiversity data from DNA sequencing of natural populations, environmental samples (metagenomics and metabarcoding) and data from automated recording of image, sound, video or sensor data, as well as large-scale analysis using machine learning.
Responsibilities include planning, initiating and executing bioinformatics analyses, communication with research groups, staying aware of current developments in the field, and writing and communicating results and reports. NBIS/WABI experts will also be regularly involved in advanced bioinformatics training for the Swedish research community. Regular internal meetings and training opportunities will be part of the work. NBIS also provides time for professional development and the opportunity to learn from a diverse team of colleagues.
Tasks may include travel to other Swedish universities, as knowledge exchange is a key aspect of NBIS operation and development, to maintain cutting-edge expertise for analysis of current and emerging data types.
We are expanding expertise within the Data Science Node in Evolution and Biodiversity (DSN-EB). You are a highly motivated scientist with a strong background and interest in sequence-based analyses of environmental samples. The successful candidate should have (i) a PhD in bioinformatics, molecular biology, computer science or related subjects the employer considers of relevance for the position, (ii) extensive experience (3+ years) with analysis of eDNA, sedimentary aDNA, metagenomic or meta-barcoding data (iii) fluent oral and written communication skills in English, and (iv) strong skills in cooperation and communication. Great importance will be given to personal suitability.
We are looking for outstanding candidates with competence in sequence-based analyses of environmental samples, to provide advanced bioinformatics support to scientifically excellent data-driven Swedish research projects in Evolution and Biodiversity. Some examples of data types encountered in these studies are eDNA, aDNA, and metagenomic data. Samples can be from sediment, bones, water, and more.
Postdoctoral studies are a strong merit. Experience in pipeline development using Nextflow or Snakemake is considered valuable for the position.
You are a driven, communicative, and results-oriented person, who can operate as part of a team in order to secure maximum returns on your efforts. This comes, in part, from your ability to respond to challenges in a flexible manner while working independently or within different working groups.
You take the initiative to suggest new working methods or new activities leading towards the desired results, and you have the ability to argue for and explain how the activities could be carried out.
You are able to plan, organize and prioritize your work effectively. The framework and organization schemes in which your work is produced will be readily accessible by team members, and you will be expected to follow established time project frames.
Successful accomplishment of tasks will depend on your ability to respect the perspectives, skills, and work-related objectives of your colleagues, with insight on how to share your knowledge and otherwise support them in ways that benefit the team.
Scope of employment
Form of employment: Permanent employment
Start date: according to mutual agreement.
The position is a full-time permanent appointment with a six-month probationary period. Please note that the last year of the current funding period for DDLS is 2032.
Last application date: 16/01/2023
Reference number: 2.3.1-725-2022
Number of positions advertised: 1
08-519 551 29
Kevin Holston, Saco-S
08-519 540 92
Mattias Forshage, ST
08-519 540 49
The Swedish Museum of Natural History strives for gender balance and ethnic and cultural diversity among its staff.