System developer for precision medicine to Karolinska Institutet

Do you want to contribute to top quality medical research?

Science for Life Laboratory (SciLifeLab) is a national infrastructure for life science research in Sweden and a collaboration between Swedish universities. Everyone at SciLifeLab is employed at one of the partner universities. Since 2013, SciLifeLab has been assigned by the Swedish government to operate national infrastructure, to provide cutting-edge life science technologies and expertise to Swedish researchers, and to be a top international center for research in health- and environment sciences. SciLifeLab is hosting a national COVID-19 research program and a new extensive research program for Data-Driven Life Sciences (DDLS), with eleven partner organizations.

The successful candidate will work at the joint technology-driven innovation milieu for precision medicine established with Karolinska Institutet (KI), Karolinska Universitetssjukhuset (KS), and SciLifeLab. This joint hub is an important local and national hub for implementing novel research technologies and developing data-driven AI within precision medicine. It is also closely linked to international projects in this field. The employment is at the Department of Oncology-Pathology KI. It will be led through the SciLifeLab Data Centre (DC) in close collaboration with the Data Science Node (DSN) for precision medicine and diagnostics. Specifically, this employment establishes access to the virtual testing facility to be offered to academia and SMEs internationally: TEF-Health. Through the joint innovation milieu, we aim to coordinate needs for services and support for precision medicine and diagnostics and to engage with research communities and users within the field on the national level. We strive to make tools, project information, code, and data as open as possible with the FAIR principles at the core.

SciLifeLab DC is a central unit within SciLifeLab responsible for IT- and data management issues, serving the SciLifeLab and the Data-Driven Life Science (DDLS) research program. We also work on FAIR data and open science issues and closely collaborate with major national and international partners. Working at the Data Centre, you will be at the core of Sweden’s top infrastructure for life sciences and have the opportunity to actively shape how state-of-the-art IT and data science are integrated in Swedish life science research and help to maximize the scientific impact of the large amount of research data generated at SciLifeLab, KI and used within research also at the clinic.

You will work with researchers, data engineers, data stewards, and system developers in a rapidly growing, dynamic, and progressive team that plays a leading role in Swedish and European data-driven precision medicine.

Your mission

We are looking for a motivated and knowledgeable System developer specializing in precision medicine and diagnostics with a placement in Solna. As a system developer, you are expected to participate in the technical development of data services, where you will apply excellence in, e.g., software engineering, compute- and storage infrastructure, interfaces, cloud technology, visualization, or databases in tools and services designed to strengthen the research field.

In our team, you will develop services to enable research projects for precision medicine and diagnostics, often in collaboration with national and international healthcare partners, through the Swedish node of the TEF-Health project. This requires technical solutions with high security, data integrity, and interoperability, which must be developed in coordination with engineers and developers at other organizations. The datasets are often large and complex, leading to high demands on software and infrastructure. Metadata management and standardization solutions are fundamental, as well as integration with data from biobanks, clinical registries, clinical trials, large-scale molecular data, and other health data.

Your profile

Qualifications:

This job requires a university degree in a relevant area. In addition, it is also required:
Documented experience with technologies for, e.g., data storage, metadata management, computational science, or visualization
Documented experience with version control systems, e.g. Git
Documented experience in Python or other relevant programming languages
Documented experience working in Linux-based environments
Documented experience in building machine learning systems and/or tools involving machine learning
Documented experience in vector databases
Professional fluency in English.
We attach great importance to personal qualities

Will be considered as a merit:

Knowledge or interest in biomedical research and infrastructure Documented experience from working with virtualization and/or container technologies, preferably Kubernetes and Docker Experience of system- and/or user administration for software systems or compute- and storage resources Experience in data protection technologies and information security Experience from working in agile projects where DevOps is an important part Ability to work both individually and in cooperation with personnel in widely different fields Experience designing and building Retrieval-Augmented Generation (RAG) systems, including developing and managing underlying databases used for knowledge retrieval in AI/ML applications. Can drive and initiative to support and develop data-driven life science in Sweden

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: SciLifeLab,Solna

Choose to work at KI – Ten reasons why

Application

Welcome to apply at the latest 4^thOctober.

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form.

Permanent position is initiated by a six months trial period.

Want to make a difference? Join us and contribute to better health for all