Senior Data Scientist

at  Olink

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 in North America. The team provides statistical services, tools, and consultation to our North American and some APAC customers. The 9 members of the team are distributed across the US and Canada, working remote. We are right now very interested in complementing the team with a Data Scientist that has solid experience and interest in R-package development to help further enhance Olink Analyze.

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 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.

Qualifications/Skills

• BSc, MSc or PhD in Bioinformatics, Biostatistics, Computer Science, Molecular Biology or similar
• 3 years of industry experience of advanced data analysis and statistics, in the Life Science sector for PhD’s, 5 years of industry experience for MSc or BSc
• Programming skills in R. Knowledge in RMarkdown and Git is an advantage
• Extensive experience in R-package development
• Experience in applying statistical methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics
• Demonstrated strong ability to work across different teams and disciplines
• The ability to engage and influence customers and explain statistical and analytical techniques and considerations to non-technical peers.
• Strong analytical mind and an interest in modern statistical and data analysis methods, for example machine learning
• Demonstrated strong communication skills, both oral and written
• Ability to work with minimal guidance
• Full proficiency in English is required

Please observe that we are not able to assist with relocations or sponsor any visas at this point in time. Please note that this is a remote position but you need to be placed in either the US or Canada, preferably east coast and you need to be able to work EST hours.
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!
Start: ASAP
Salary range: 66 000 - 91 000 USD or 95 000 - 132 000 CAD + bonus and benefits

• 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 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