Data Scientist

Company:
Location: 752 37 Uppsala

*** Mention DataYoshi when applying ***

O link Proteomics is a rapidly growing Life Science Company committed to improve the treatment of diseases and global health through enabling protein biomarker discovery and development. Owning the leading and most exciting technologies in the market and a product portfolio for protein biomarker discovery and development we serve and support our customers through innovation, quality, rigor and transparency with the mission to drive precision medicine.
In seven years, we have analysed close to two million samples and generated more than 170 million data points for hundreds of customers from both research institutes and pharmaceutical companies around the world.

Olink now enables researchers to bring our platform into their labs and provides the requisite training to ensure success. In addition, we continue to offer services through our labs in Uppsala, Sweden and Watertown, MA.
Data Scientist (Data Science Development)
The Data Science team at Olink offers and develops services in statistics, data analysis and data management to the company’s customers as well as internally. We play an important part in designing the study and performing advanced data analysis in close collaboration with our users. We have two divisions in the team, Data Science Operations working mainly with data analysis support for our customers, and Data Science Development working in internal product development projects and with internal data analysis support.
We are now expanding our Development team with a Data Scientist based in our Uppsala headquarter. You will join a global Data Science team dedicated to make Olink’s technology central for biomarkers precision medicine by providing innovative analytical solutions to leverage Olink’s proteomics data and deliver the highest value to our customers.

The main purpose of this position is to provide data science solutions and expertise in our internal product development and analysis support activities:
Combining skills in data science and programming to deliver scalable, stable and innovative solutions.

Provide data analysis support and take a leading role in the design, analysis, and interpretation of translational research experiments.

Develop the data analysis methods for Olink’s technology in close collaboration with our RnD team and system developers.

Stay up to date on, apply and develop cutting-edge data analysis tools and statistical techniques.

Qualifications and Skills

MSc (or PhD) in Bioinformatics, Biostatistics, Molecular Biology or similar, with relevant experience of advanced data analysis and statistics, in Life Science sector.
Strong programming skills in R, experience in Shiny is an advantage.

Skills in other methods/languages such as Python and SQL is an advantage, as well as Git experience.

Experience in applying statistical and machine learning methods in medical or biological research.

Strong analytical mind and an interest in modern statistical and data analysis methods, for example machine learning.

Strong communication skills, both oral and written.

Experience in analyzing omics data, particularly qPCR and next generation sequencing data, is an advantage.

To be fluent in English both in written and oral language is a prerequisite for this position. If you also speak Swedish it is advatageous.

As a person you are organized with the ability to prioritize between multiple tasks and work in an agile and rapid changing environment with high quality deliverables. You have a strong drive and the ability to work independently when needed. You like to solve problems and you can be pragmatic and flexible depending on the situation.

Finally, you have good communication skills and the ability to work across different teams and disciplines.
This is a permanent position based in our Uppsala office.
If you feel that your professional and personal skills fit into the description, please send us your application, and come join Olink! The selection process is on-going so please apply as soon as possible, however no later than 2021-08-15.

*** Mention DataYoshi when applying ***

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