Data Science Engineer

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

Description

We are looking for a motivated data scientist to join our Olink Insight team in Uppsala. As part of our team, you will collaborate closely with other data scientists and software developers to develop a powerful scientific tool that addresses the complex challenges of proteomic data and empowers users on their journey from experiment planning and design to post-run data analysis. To thrive in this role, you should be someone who enjoys working in a team to solve complex problems and working creatively on software that makes scientific information explorable.

Primary Responsibilities

• Carry out research projects to explore potential features and share your findings with other data scientists and stakeholders such as the Product Manager.
• Implement data analysis functionality in our application, which will be available to end-users, in collaboration with the software development team. Writing testable and maintainable code is critical.
• Contribute to the management of the biological data sources, which are at the core of Olink Insight.
• Communication is a key part of this role: you will have to present complex findings to a wide range of stakeholders, from other data scientists to Product Managers to software engineers.
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Skills and qualifications

• Biological domain expertise, with proteomics expertise being especially valuable.
• Proven experience delivering reproducible analytical solutions within the biology domain.
• Strong proficiency in R and Python.
• Expertise in machine learning algorithms, statistical modeling, and data visualization
• Experience with tooling (e.g. version control) and best practices used in software engineering.
• Knowledge of AWS is meriting.
• Full professional proficiency in English.
  

You should be able to attend our Uppsala HQ on a regular basis.