Data scientist, Data science development team

Uppsala, Sweden
Full-time
Posted Nov 11, 2026

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Skills

AWS
Communication
Data Analysis
Git
Machine Learning
Microsoft Azure
Microsoft Excel
Python
R
SQL
Teamwork

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Location/Division Specific Information:

Olink, part of Thermo Fisher Scientific, is dedicated to advancing the understanding of human disease through proteomics. Olink panels provide innovative, high-quality solutions for human protein biomarker discovery, enabling researchers to measure thousands of proteins simultaneously from just a few microliters of blood. Using highly specific and thoroughly validated assays with a wide dynamic range, Olink’s technology overcomes traditional limitations in protein analysis and supports deeper insights into human biology and disease.

Job Description

We are currently seeking a Data Scientist to join our Data Science Development team.

As part of the Data Science Development team in Uppsala R&D, you will contribute to advancing data analysis capabilities for both external and internal use. This role offers the opportunity to work across the full product lifecycle, from concept development through post-launch support, applying cutting-edge data science and bioinformatics expertise.

A Day in the Life:

•Develop methods and tools for data analysis for external and internal use.

•Participate in the development of new products through all phases from concept development to post product launch.

•Participate in research and development of concept design, product ideas and products in accordance with project plans and work schedules.

•Develop and improve quality control methods.

•Assist in quality control and troubleshooting of data issues.

•Develop solutions for monitoring and analysis of QC parameters to ensure quality in products and processes.

•Participate in the development of future bioinformatic and data analytics solutions for internal use.

•Organize internal training in programming, data analysis, and QC of data.

•Provide study design and advanced data analysis expertise and support to other departments.

Requirements:

•MSc or PhD in Bioinformatics, Biostatistics, Computer Science, Molecular Biology or similar.

•Advanced degree plus 2 years of relevant experience, or Bachelor’s degree plus 4 years, in data science or a related field.

•Experience integrating, harmonizing, and analyzing complex data in life sciences, biotechnology, biopharma, healthcare, clinical research, diagnostics, or laboratory environments.

•Advanced proficiency in R, Python, and SQL, for data processing, transformation, analysis, and automation.

•Moderate experience in applying statistical methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics

•Experience with cloud and scalable analytics platforms (e.g., AWS, Azure, Spark, Databricks) and DevOps/version control (Git). Demonstrated strong communication skills, both oral and written in English.

To succeed in this role, you need to have a strong analytical mind and an interest in modern statistical and data analysis methods including machine learning. It is also important to have the ability to translate complex scientific and business problems into analytical solutions and communicate technical concepts effectively to scientific, technical, and non-technical stakeholders.

If you enjoy solving challenging problems, don't mind working both independently and in collaboration with others and stay current with emerging technologies, we are looking forward to meeting you!

Why Join Us?

At Olink, Thermo Fisher Scientific, you will be part of a nurturing team that values integrity, innovation, and involvement. We offer an encouraging environment where your diverse experiences and perspectives are appreciated, enabling you to thrive and excel in your career. Come aboard and contribute significantly to global health and safety!

The last day for applications is on the 6th of December.