Data Scientist: AI for Life-Saving Biotech R&D

Cytiva

Uppsala kommun

On-site

SEK 650,000 - 900,000

Full time

2 days ago
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Job summary

Cytiva in Uppsala, Sweden, is seeking a Data Scientist to join the Resins & Technology Data Science R&D team. You will support the full product development lifecycle from discovery to production and manufacturing support, applying advanced analytics and AI/ML to solve complex biological challenges.

Ideal candidates hold a PhD in a technical field, are proficient in R and/or Python, and have experience with multivariate statistics, data transformation, and cloud data services.

Qualifications

  • PhD or equivalent in a technical discipline with data science expertise.
  • Proficiency in R and/or Python.
  • Experience with AI/ML techniques and data transformation.
  • Experience with cloud data services (AWS/Azure).
  • Fluent in English, written and spoken.

Responsibilities

  • Perform data analysis, develop and tune predictive models.
  • Support experimental design (DoE) and planning.
  • Foster a data-driven culture within R&D.
  • Collaborate with researchers and IT to understand scientific workflows and automate data processing.
  • Document and present results clearly, orally and in writing.
  • Identify and adopt new AI/ML techniques and methods.
  • Work independently and collaboratively in a dynamic environment.

Skills

Multivariate statistics
Predictive modelling
AI/ML techniques
Data cleaning and transformation
Cloud platforms (AWS/Azure)
Git version control
Fluent English

Education

PhD in a technical discipline or equivalent

Tools

AWS
Azure
Git

Job description

Cytiva in Uppsala, Sweden, is seeking a Data Scientist to join the Resins & Technology Data Science R&D team. You will support the full product development lifecycle from discovery to production and manufacturing support, applying advanced analytics and AI/ML to solve complex biological challenges.

Ideal candidates hold a PhD in a technical field, are proficient in R and/or Python, and have experience with multivariate statistics, data transformation, and cloud data services.

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