AI-Driven Cell Growth & Phenotype Thesis

AstraZeneca; Göteborgs kommun; On-site; SEK 167,000 - 212,000; Full time

Job summary

AstraZeneca invites a Master’s student to join as a Thesis Worker in Gothenburg, focusing on AI-driven analysis of cell growth to infer phenotypes and optimize experimental planning. The project blends cell biology with machine learning under FAIR data principles to support future assay development and digital laboratory innovation.

The placement is on-site at AstraZeneca Gothenburg, offering meaningful, real-world research opportunities and collaboration with Discovery Sciences teams.

Qualifications

• Enrolled in a Master’s programme in cell biology or related field.
• Good knowledge of cell biology.
• Interest in cell growth, cell culture and cellular phenotypes.
• Familiarity with AI models or machine-learning models is an advantage.
• Experience with hands-on cell culture is a plus.
• Experience with programming, such as Python or R, is an advantage.
• Good communication skills in English.

Responsibilities

• Work on the Confluency Atlas AI-driven platform transforming time-series cell growth data into predictive models.
• Investigate links between growth patterns and biological phenotypes such as cell cycle progression and cellular state.
• Apply FAIR data principles to enable effective use of experimental data for AI-enabled reagent and assay design and planning.
• Collaborate with Discovery Sciences to inform experimental planning and digital laboratory innovation.

Skills

Cell biology

Python

R

English communication

AI / machine learning

Education

Master’s degree in cell biology

Tools

Python

R

Job description

AstraZeneca invites a Master’s student to join as a Thesis Worker in Gothenburg, focusing on AI-driven analysis of cell growth to infer phenotypes and optimize experimental planning. The project blends cell biology with machine learning under FAIR data principles to support future assay development and digital laboratory innovation.

The placement is on-site at AstraZeneca Gothenburg, offering meaningful, real-world research opportunities and collaboration with Discovery Sciences teams.