Data Scientist
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 Data Scientist on a temporary basis (until this years end) for our Data Science Development team. The team develops custom analysis tools and methods to enable data driven innovation and decisions. The team is involved in both product and process development and is responsible for data related product design decisions, data analysis and reporting, method and tool development etc. Their goal is to ensure good study design, appropriate analytical methods and data driven decisions in all steps leading to high quality products and processes.
Primary Responsibilities
- Develop methods and tools for data analysis for external and internal use.
- Be involved in the development of new products, through all phases from concept development to post product launch.
- Participate in the development of modern bioinformatic and data analytics solutions.
- Development and improvement of methods to support the product throughout the product life cycle.
- Assist in quality control and troubleshooting of data issues.
- Monitoring and analysis of QC parameters to ensure quality in products and processes.
- Provide study design and advanced data analysis and expertise to other departments.
Qualifications/Skill
- MSc or PhD in Bioinformatics, Biostatistics, Computer Science, Molecular Biology or similar, MSc needs to have relevant industry experience.
- Solid experience of advanced data analysis, in Life Science sector from either academia (PhD's) or industry (MSc's)
- Experience in applying data analysis methods in medical or biological research with data from high throughput technologies in proteomics and genomics.
- Experience of processing and visualizing large amount of biological knowledge data
- Strong programming skills in R. Skills in other methods/languages such as SQL is an advantage.
- Experience in R package development, Rmarkdown, Git and shiny development or other web tools is an advantage.
- Experience from data engineering and/or contributing to building a modern data analysis environment is an advantage.
- The ability to explain advanced technical topics and considerations to non-technical peers.
- Demonstrated ability to work across different teams and disciplines.
- Demonstrated strong communication skills, both oral and written.
Unfortunately, we are not able to assist with relocation or visa sponsorships for this role. You should have a permanent residency and be based in the Uppsala or Stockholm region to be able to and be willing to attend our office in Uppsala at least 3 days a week.
Final Application date is 30th of March, please note that this is a temporary role covering to the end of the year.
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
- Temporary
Uppsala
Accelerating proteomics together
Providing world-class technology, products and services is important, but we don't think that's enough. We also believe passionately in collaboration and transparency, supporting our customers every step of the way to help them better understand real-time human biology to the benefit of all!
Data Scientist
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