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Cytiva

Data Scientist

Cytiva
Sweden · Full-time · Not Applicable

Be part of something altogether life-changing!

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. With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity – so you can grow your career and expand your skills in the long term.

Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics.

We're looking for a Data Scientist to join our section Process Control, part of department Manufacturing Science and Technology located in Uppsala, Sweden. It is a temporary position until March 2026. In this role you will get the opportunity to contribute to enhance the knowledge of our products used in the manufacturing of life-saving biological drugs. You will work together with experts in various fields to form cross-functional teams to achieve project goals. In these teams, you will contribute with the expertise in experimental design, data processing, modelling and analytics.

What You'll Do

  • Perform data analysis in development projects and trouble-shooting activities.
  • Develop, implement, and tune predictive models.
  • Assist with experiment design and provide guidance on experimental planning.
  • Document and report results both orally and written.
  • Identify, implement new techniques, and follow technical development in the field.
  • Plan and accomplish given tasks, to reach project objectives.

Who You Are

  • Master's degree in a quantitative field (e.g., Data Science, Chemometrics, Statistics).
  • Proficient in Python and/or R.
  • Well versed in multivariate statistics, predictive modelling and inference.
  • Proficient in explorative data analysis, cleaning, and transformation.
  • Fluent in Swedish and English, both verbally and in writing.

To be successful in the role we believe that you are a structured and organized team player, with significant professional experience and a degree in a relevant area. You are a creative problem solver, who has a burning passion for data and gaining actionable results from complex data streams.

It would be a plus if you also have:

  • Experience of Process Analytical Technology
  • Experience of Design of Experiments (DoE).
  • Basic experience in the SQL language and databases.
  • Experience with solutions for data management.
  • Experience with cloud platforms (AWS and/or Azure) and their data services.
  • Knowledge of version control/Git.

Does this sound interesting? Submit your application today.

Applications will be read and reviewed throughout the application period; this means the position might be filled prior to the last date of advertising XXXX.

For questions about the role, please contact hiring manager Linn Carlsson, [email protected]

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.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Key Skills

Ranked by relevance

data analysis technical expertise python cloud sql aws
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Posted
Feb 13, 2025
Type
Full-time
Level
Not Applicable
Location
Uppsala
Company
Cytiva

Industries

Biotechnology Research Medical Equipment Manufacturing Pharmaceutical Manufacturing

Categories

Engineering Information Technology

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