AstraZeneca · 4 hours ago
Senior Scientist – Biologics AI Innovation
AstraZeneca is a leading pharmaceutical company seeking an experienced Senior Scientist to drive Biologics AI innovation at their US R&D centers. The role involves integrating artificial intelligence with wet-lab discovery to advance biologics engineering, collaborating across functions, and mentoring junior scientists.
BiopharmaBiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine
Responsibilities
Lead and design AI strategies for biologics discovery and engineering, with a focus on AI–wet lab integration and accelerated translation of computational findings to experiments
Oversee and guide the development of innovative models, including protein language models, structure prediction models, de novo protein design, and multi-modal approaches combining sequence, structure, and biological activity data
Act as a scientific bridge and champion for cross-functional collaboration between AI scientists and wet-lab teams within the US, and in close alignment with global teams
Drive the generation, curation, and utilization of high-quality wet-lab data; provide actionable feedback to experimental teams for optimizing data production for ML applications
Evaluate, recommend, and implement emerging technologies, adopting best practices in data science, computational biology, and protein engineering to ensure world-class innovation and delivery
Mentor junior scientists and provide scientific leadership in biologics AI, fostering a collaborative, innovative, and high-performing team environment
Communicate progress, challenges, and strategy to stakeholders at all levels, contributing to strategic decision-making and representing the team in internal and external collaborations
Author scientific publications, contribute to intellectual property, and serve as an ambassador for AstraZeneca in the external scientific community through presentations and collaborations
Qualification
Required
Master and 2+ years experience or Phd and 0+ years of experience in mathematics, physics, computer science, statistics, bioinformatics, or a related discipline, with substantial academic or industry experience in the application of AI/ML to biological problems
Deep expertise and hands-on track record in developing and deploying machine learning and deep learning models for protein sequence and structure analysis, biologics design, or related fields
Demonstrated experience in leading initiatives that combine computational modeling with experimental biology, ideally in a therapeutics or biopharmaceutical setting
Strong programming and analytical skills, including proficiency with Python and major AI/ML frameworks such as TensorFlow, PyTorch, or JAX
Familiarity with large-scale data engineering, cloud computing, and FAIR data principles
Excellent communication and leadership skills, with proven success in cross-functional environments and multi-site collaborations
Demonstrable record of scientific innovation, as evidenced by publications, patents, or successful project delivery in biologics discovery or engineering
Preferred
Experience with structural informatics, structural biology, or structure-based rational design
Experience with molecular dynamic simulation and structure modeling
Experience with multi-modal learning, agentic AI, or the integration of heterogeneous biological data formats
Prior leadership, mentoring, or line management experience in industrial or academic R&D
Recognized presence in the external scientific community through publications, conference presentations, or collaborations
Benefits
Qualified retirement programs
Paid time off (i.e., vacation, holiday, and leaves)
Health, dental, and vision coverage in accordance with the terms of the applicable plans
Company
AstraZeneca
AstraZeneca is a pharmaceutical company that discovers, develops, manufactures, and markets prescription medicines. It is a sub-organization of Investor.
H1B Sponsorship
AstraZeneca has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (2)
2020 (11)
Funding
Current Stage
Public CompanyTotal Funding
$5.26B2024-07-30Post Ipo Debt· $1.51B
2023-02-28Post Ipo Debt· $2.25B
2023-02-24Post Ipo Debt· $1.5B
Leadership Team
Recent News
Essential Business
2026-01-24
2026-01-23
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