Associate Principal Scientist – Biologics AI Innovation

About the Role: 
We are seeking an experienced and visionary Associate Principal Scientist to drive Biologics AI innovation at AstraZeneca’s US R&D centers in Waltham, MA or Gaithersburg, MD. This pivotal leadership role will focus on integrating state-of-the-art artificial intelligence with wet-lab discovery, enabling synergistic advances in biologics engineering. You will work collaboratively across computational and experimental functions, influence the direction of AI-driven research, and champion the seamless collection and translation of high-quality data for the design of next-generation biotherapeutics. 

Key Responsibilities 

As an Associate Principal Scientist, your main responsibilities will be: 

• 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. 

Required Qualifications 

• 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 publication