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At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.
You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System which makes everything possible.
We're looking for a Data Scientist to join our Resins & Technology Data Science R&D team located in Uppsala, Sweden. This role is a 1 year temporary position.
As a Data Scientist, you will support product development from idea generation to production transfer. In this role you will help to discover, design, and implement scientific workflows and data-driven use cases across R&D, including development of data pipelines, advanced analytics, and AI/ML solutions. This role sits at the intersection of science, data engineering, and data science, working closely with researchers, domain experts, and platform teams to turn experimental data into reliable, reusable, and scalable assets.
You will play a key role throughout the full lifecycle of scientific use cases, from early discovery and feasibility assessment, through design and proof-of-concept, to production-grade implementation and adoption. Perform data analysis, troubleshoot development projects, and develop, implement, and tune predictive models.
What You'll Do :
- Support experimental design (DoE) and planning
- Drive and foster a data-driven culture within R&D
- Work with R&D SMEs to understand scientific workflows and identify opportunities for automation, optimization, and AI/ML
- Design and document maintainable solutions and data flows in collaboration with stakeholders and IT architects
- Develop applications, tools, and interfaces that help researchers access, visualize, and analyze data efficiently
- Support production deployment, monitoring, and operation with IT, DevOps, and platform teams
- Document and present results clearly, both orally and in writing
- Identify and implement relevant new techniques while following technical developments in the field
Who you are:
- Master's degree in a technical discipline with expert competency in data science/data engineering/bioinformatics or equal experience
- Proficient in Python, comfortable with R
- Proficient in explorative data analysis, cleaning, and transformation
- Experience with modern AI/ML techniques
- Experience in the SQL language and databases
- Experience with solutions for data management
- Experience with cloud platforms (AWS and Azure) and their data services
- Knowledge of version control/Git
- Well versed in multivariate statistics and predictive modelling .
It would be a plus if you also possess previous experience in:
- Experience with image analysis and/or computer vision
- Experience with protein/DNA sequence alignment methodologies
- Experience in Design of Experiments (DoE)
- Experience with Web development
- Experience with DevOps and CI/CD
- Practical wet lab experience and experience with analytical chemistry
This is an onsite role and we therefore see that you who apply are resident in Uppsala or a nearby area with the flexibility to commute from our site on a daily basis
Interviews and selection will take place on an ongoing basis, so please do not wait to submit your application to us.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
Skills Required
- Master's degree in a technical discipline, with expert competency in data science, data engineering, bioinformatics, or equivalent experience
- Proficiency in Python
- Working knowledge of R
- Experience with exploratory data analysis, data cleaning, and data transformation
- Experience with modern AI and machine learning techniques
- Experience with SQL and databases
- Experience with data management solutions
- Experience with AWS and Azure cloud platforms and their data services
- Knowledge of version control and Git
- Knowledge of multivariate statistics and predictive modeling
- Experience with image analysis or computer vision
- Experience with protein or DNA sequence alignment methodologies
- Experience with Design of Experiments
- Experience with web development
- Experience with DevOps and CI/CD
- Practical wet lab experience and analytical chemistry experience
Danaher Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Danaher Corporation and has not been reviewed or approved by Danaher Corporation.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical plan options alongside dental, vision, life, disability, and mental health support. Wellness initiatives and support programs such as an EAP and vaccination or fitness offerings add breadth beyond core insurance.
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Retirement Support — Retirement benefits include a 401(k) plan with employer matching and options such as pre-tax and Roth contributions. Broader financial rewards such as performance bonuses and access to equity or an employee stock purchase plan are also described.
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Parental & Family Support — Parental leave and family-building support are described as available, including maternity and paternity leave and fertility assistance. Childcare and eldercare support are also highlighted as part of the overall package.
Danaher Corporation Insights
What We Do
Danaher is a global science and technology innovator committed to helping our customers solve complex challenges and improve quality of life around the world. A global network of more than 25 operating companies, we drive meaningful innovation in some of today’s most dynamic industries through our operating companies in four strategic platforms: Life Sciences, Diagnostics, Water Quality and Product Identification. The engine at the heart of our success is the Danaher Business System (DBS), a set of tools that enables continuous improvement around lean, growth and leadership. Through the ingenuity of our people, the power of DBS and the impact of our meaningful technologies, we help realize life’s potential in ourselves and for those we serve.
