Data Scientist

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. How will you make an impact? Join our team at Thermo Fisher Scientific as a Data Scientist III and contribute to global healthcare and scientific innovation. You'll apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise. What will you do? In our collaborative environment, you'll have the opportunity to contribute directly to product development and develop and deploy sophisticated data science solutions. This role offers the opportunity to work with advanced technologies while contributing to our mission of enabling customers to make the world healthier, cleaner, and safer. Key responsibilities include - Applying advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise.

• Contributing directly to product development.
• Developing and deploying sophisticated data science solutions.

How will you get here? You’ll bring relevant education and experience in data science or a related field, along with the technical and communication skills to work with complex scientific and business challenges. We are looking for someone who has - Advanced degree plus 3 years of relevant experience, or Bachelor’s degree plus 5 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.
• Strong experience designing and developing ETL/ELT workflows, scalable data pipelines, data models, and harmonization processes across large, heterogeneous datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch); NLP, deep learning, generative AI, or foundation model experience in life sciences preferred.
• Experience with cloud and scalable analytics platforms (e.g., AWS, Azure, Spark, Databricks) and DevOps/version control (Git).
• Experience with data visualization and analytics tools such as Power BI, Tableau, or equivalent.
• Ability to translate complex scientific and business problems into analytical solutions and communicate technical concepts effectively to scientific, technical, and non-technical stakeholders.
• Strong problem-solving, collaboration, project management, and organizational skills, with the ability to work independently and stay current with emerging technologies.

The following experience is considered an advantage - Degree in Data Science, Computer Science, Bioinformatics, Computational Biology, Biostatistics, Statistics, Mathematics, Biomedical Engineering, or a related quantitative discipline preferred. Location This position is based in Uppsala, Sweden. This role follows a hybrid working model.