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 currently seeking a Associate Data Scientist on a temporary basis (6 months) for our Data Science Customer Applications team. The team facilitate Olink customers by developing data analysis tools, as well as providing statistical support and service enabling streamlined analysis of Olink data. Additional to working with our customers the team work closely with the Commercial team, as well as several internal departments, to enable our customers to succeed with their Olink studies.

We are excited to open a temporary position as Associate Data Scientist primarily intended for providing data analysis support towards our Scientific Support and Product Management departments, as well as our customers.

Primary responsibilities

• Data analysis support to external and internal cases
• Data analysis support towards our external service providers
• Develop and maintain data analysis methods and data products for use in customer applications
• Offer statistical service to customers

Qualification/Skills

• BSc or MSc in Bioinformatics, Biostatistics, Computer Science, Molecular Biology or similar
• Relevant experience of data analysis and statistics through courses and projects
• Demonstrated ability to work across different teams and disciplines
• Solid programming skills in R. Knowledge in RMarkdown and Git is an advantage
• Basic experience in applying statistical methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics
• Analytical mind and an interest in modern statistical and data analysis methods, for example machine learning
• Demonstrated strong communication skills, both oral and written

Unfortunately, we are not able to assist with relocation or visa sponsorships for this role, you need to already have a permanent residency to be eligible for this position. You should be located within a reasonable distance from Uppsala and be able and willing to attend our HQ in central Uppsala at least 3 days a week.

Final application date is 30th of March. Please note that this is a temporary role covering 6 months from first date of employment.

If you want to help to deepen the understanding of real-time human biology and are looking for an exciting new challenge, we encourage you to apply!

Department

Data Science

Locations

Uppsala

Employment type

Temporary

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