Who we are

Olink Proteomics is a rapidly growing life science company committed to advancing the understanding of human diseases through proteomics. We are dedicated to innovation, quality, rigor and transparency, providing outstanding solutions and support for human protein biomarker discovery.

The vital role of proteins in understanding human biology has been recognized for many decades, but technological limitations severely restricted the comprehensive investigation of the huge number of proteins that could be important in different biological processes and diseases. With Olink, scientists can now simultaneously measure thousands of human proteins using just a few µL of blood sample, with highly specific, thoroughly validated assays that cover a very wide dynamic range (fg/mL to µg/mL).

In a few years, Olink has grown rapidly from a small, Sweden-based company offering assays for a few hundred proteins, to a NASDAQ-listed organization with a strong global presence, a broad portfolio of flexible protein biomarker solutions and library of high quality, thoroughly validated assays that covers ~3000 proteins.

For more information about Olink, please visit www.olink.com

Position Description

The Data Science team at Olink offers internal and external data analysis expertise, services and tools. Our goal is to ensure that exceptional study design and data analysis decisions lead to efficient and high-quality products that provide useful results.

The team has two main functions: Data Science Operations, who work mainly to develop and offer data analysis services to customers, and Data Science Development, who focus on internal data analysis support and product development. This role will expand our DS Operations team to work with data analysis services for our customers. The Data Science Manager will join a global Data Science team dedicated to making Olink’s technology central for biomarkers precision medicine.

Primary Responsibilities

• Lead and mentor the Data Science team while maintaining high quality Data Science support, solutions and services.
• Focus on continuous development of services to ensure quality and efficiency and usage of appropriate and up-to-date methods and tools.
• Plan and prioritize customer projects to deliver according to agreed TAT.
• Coordinate and facilitate communication with other departments to assure availability, accuracy, and timeliness of data and information needed for customer projects.
• Work to ensure high quality on all aspects of the data analysis process and reports
• Maintain, develop and enforce work processes and structure.
• Support the commercial organization, and other departments, with data analysis expertise and impact.
• Hire and train new team members of the DS team.
• Conduct one-on-one calls with each team member to discuss performance, personal and professional development and work environment.
• Develop personal growth opportunities. Communicate job expectations - plan, monitor, and appraise job results.
• Represent Data Science NA in management team and other internal meetings related to customer services and distill relevant info to team.
• Be responsible for budget, FTE forecasting, personnel, goals for the team and team development.

Qualifications/Skills

• MSc (or PhD) in Statistics, Bioinformatics, Biostatistics, Computer Science or similar.
• At least five years of experience in advanced data analysis in Life Science sector.
  
• Experience in both team and project management.
• Demonstrated ability to work across different teams and disciplines.
• Programming skills and tool development is an advantage.
• Experience in applying statistical methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics.
• 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.
• Strong organizational skills with the ability to prioritize multiple tasks and work in an agile and rapid changing environment with high quality deliverables.