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 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.
Right now we are very interested in getting a Data Scientist with experience in developing and implementing different ML/AI methods in their work, preferably for applications in life science.
Primary Responsibilities
- Develop methods and tools using ML/AI 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.
- Provide advanced data analysis expertise and support for new product designs.
- Development and improvement of methods to support the product throughout the product life cycle.
- Monitoring and analysis of QC parameters to ensure quality in products and processes.
Qualifications/Skill
- MSc (or PhD) in Bioinformatics, Biostatistics, Computer Science, or similar.
- 2-4 years of relevant industry experience of advanced data analysis, using ML/AI within the Life Science sector.
- Experience in large language models (LLM’s) and in working with AWS services or other cloud solutions is an advantage.
- Strong analytical mind and an interest in modern statistical and data analysis methods especially in machine learning.
- Strong programming skills in Python. Skills in other methods/languages such as SQL and R is an advantage.
- The ability to explain advanced technical topics and considerations to non-technical peers.
- Experience from data engineering and/or contributing to building a modern data analysis environment is an advantage.
- Experience in applying data analysis methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics is an advantage.
- Full professional proficiency in English is a must
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 16th of January 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 Remote
- Employment type
- Full-time
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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