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© All Rights Reserved. ApplyBlast.com
AstraZeneca
A Cross-Disciplinary AI Engineer at AstraZeneca (via EsoBiotec) applies machine learning and data science to support wet-lab discovery teams in cell therapy and oncology. The role bridges experimental science and computational innovation by building tools that analyze complex biological data to drive efficient and robust research decisions. Candidates must thrive at the intersection of biology and technology to optimize workflows in CAR-T and gene delivery research.
Headquarters
Cambridge, England, United Kingdom
Company Size
10001+ employees
Founded
1999
Digital Biology is part of AstraZeneca, a global biopharmaceutical company focused on discovering, developing, and commercializing prescription medicines. The Digital Biology organization applies data science, computational biology, AI, and software engineering to accelerate drug discovery and translational research across therapeutic areas.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for AstraZeneca.
AstraZeneca didn’t post a salary, so this is our estimate from similar listings.
24% below the average for this role
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