Who we are

Olink, part of Thermo Fisher Scientific, is transforming the understanding of human diseases through advanced proteomics. We are driven by a commitment to innovation, quality, and transparency, providing exceptional solutions and support for human protein biomarker discovery. 

For many years, the critical role of proteins in human biology has been recognized, but technological constraints limited comprehensive research into their potential across various biological processes and diseases. With our innovative Olink solutions, scientists can now measure thousands of human proteins simultaneously using just a few microliters of blood. Our highly specific and validated assays cover a wide dynamic range, empowering groundbreaking research. 

Our services include flexible protein biomarker solutions, with a robust library of thoroughly validated assays covering ~5000 proteins. As we expand globally, we continue to play a pivotal role in shaping the future of scientific discovery. To learn more, visit www.olink.com. 

Position Description

We are seeking a highly skilled and experienced Data Engineer with AI/ML skills to contribute to our newly launched global data analytics platform for advanced users such as Data Scientists and RnD experts. As a data engineer at Olink you will be responsible for designing, building, validating, and maintaining data and contribute to AI/ML modeling in the platform. The team consists of 8 highly talented individuals with titles like DevOps Engineer, Data Engineer, Data Scientist, Software Engineer etc. We’re looking to add more MLOps/AI knowledge and skills into the current team.

The team works according to agile principles in 2 week sprints, rotating the role of Scrum Master between them each sprint.

The platform is hosted in AWS and the team mainly use Python, SQL and R.

Primary Responsibilities

• Cross-collaborate with data scientists, RnD analysts, and other stakeholders to design and build AI/ML models for advanced analysis
• Design and develop scalable and robust data pipelines for data ingestion, transformation, and integration.
• Model and design for optimized data processing performance, ensuring efficient use of resources and adherence to best practices.
• Implement data solutions to enable real-time and batch data processing, ensuring data quality, accuracy, and consistency across multiple sources.
• Troubleshoot and resolve data-related issues, providing technical guidance and support to team members and stakeholders
• Contribute with up-to-date industry standards, trends, and advancements in the data engineering field, applying new techniques and technologies as appropriate.

Qualifications/Skills

• Minimum of a master’s degree in computer science, bioinformatics, engineering physics, mathematics or equivalent
• Minimum of 5 years of experience in data engineering or a similar role.
• Minimum of 2 years of experience in MLOps.
• Experienced in data modelling, data warehousing, and big data technologies.
• Knowledge and experience with programming languages such as Python, SQL and R
• Strong hands-on experience working with database design is a plus
• Strong hands-on experience with AWS services is a plus
• Fluency in English on a professional level is a must have, any Swedish skills are beneficial.
• If you have previous educational or industry experience from Life Science, it is a plus since you will be interacting with data scientists with deep knowledge in proteomics and genomics

As a person, you are a focused and strong problem solver, like to share knowledge with your team members and you are interested in learning new domains. You enjoy collaborating cross-functionally with stakeholders across the organization to understand the needs of the business.

Unfortunately, we are not able to assist with relocation or visa processes for this role. You should be based within a resonable distance form Uppsala and be able and willing to attend our Uppsala HQ 3 days a week as well as having a permanent residency for Sweden.

If this sounds interesting, please send us your application no later then 17th of January 2025, and come join Olink!