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 Senior Data Scientist 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 position as Senior Data Scientist primarily intended to work externally phasing towards our customers focusing on KOL and pharma accounts, as well as close collaboration with internal departments including Product Management.

Primary responsibilities

• Offer statistical service to customers.
• Help in trouble shooting customer data.
• Offer study design, data analysis and statistical consultation to customers.
• Organize and participate in customer meetings, workshops, and trainings.
• Develop and maintain data analysis methods and data products for use in customer applications.
• Stay up to date on, apply and develop cutting-edge data analysis methods and statistical techniques.
• Participate in internal meetings related to customer services.
• Maintain and improve processes for data analysis, data delivery and reporting in customer projects.
• Facilitate customer adoption and effective use of Olink data.
• Serve as a lead Data Science representative for academic and industry collaborations together with PM and in other larger projects.
• Be pivotal in the relations with key accounts and KOLs, as well as facilitating their studies.
• Serve as internal reference for state-of-the-art methodology and statistical expertise.
• Solve complex problems; takes a broad perspective to identify solutions.
• May lead functional teams or projects.
• Recommend best practices for various data topics.
• Contribute to peer-reviewed publications.
• Act as a mentor for junior colleagues in the team.

Qualification/Skills

• MSc (or PhD) in Bioinformatics, Biostatistics, Computer Science, Molecular Biology or similar.
• Minimum 8 years of relevant industry experience for MSc and 3 years of relevant industry experience for PhD of advanced data analysis and statistics, in the Life Science sector.
• Advanced programming skills in R or Python. Knowledge in RMarkdown and Git is an advantage, so is any experience working with data lakes.
• Extensive experience in applying statistical methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics.
• Strong analytical mind and an interest in modern statistical and data analysis methods, for example machine learning.

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 2025.

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

Remote status

Hybrid

Employment type

Full-time

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