Director, AI Research

Sobre el puesto

Job Title: Director, AI Research Introduction to role: Are you ready to bring frontier AI into the heart of clinical development and change how trials are designed, conducted, and analyzed? Can you move seamlessly from a clinical question to the AI system that answers it and stands up to scientific and regulatory scrutiny? In this director-level role, you will define and deliver the AI research agenda that improves decisions for trials and patients across Oncology and BioPharmaceuticals. You will work at the intersection of advanced AI, clinical trial methodology, and biomedical science—translating methodological innovation into capabilities that shape clinical-development strategy and outcomes. You will lead research spanning foundation models, multimodal learning, agentic systems, post-training methods, and evaluation science. Your work may address treatment-effect heterogeneity, predictive biomarker discovery and validation, patient stratification, time-to-event outcomes, cross-trial generalization, and the responsible evaluation and governance of AI systems used in developing new medicines. Accountabilities: Research Strategy and Roadmap: Set and execute a research strategy focused on the highest-impact clinical-development challenges, prioritizing efforts that drive measurable benefits for patients and the pipeline. Method Development for Trials: Invent and refine AI and statistical learning methods tailored to randomized clinical trials and related evidence, with emphasis on heterogeneous treatment effects, predictive biomarkers, time-to-event outcomes, patient stratification, and cross-trial generalization. Agentic AI Systems: Design, build, and rigorously evaluate agentic AI systems for clinical-development use cases, incorporating retrieval, tool use, code execution, memory, multi-step workflows, and human oversight to ensure reliability and reproducibility. Reproducible Engineering: Write high-quality Python and build reproducible research workflows using modern ML frameworks, version control, testing practices, and cloud or high-performance computing environments to accelerate trustworthy science at scale. Scientific Leadership and Influence: Serve as a senior scientific and technical partner, shaping clinical strategy, evaluation approaches, platform capabilities, and investment decisions across the organization. External Dissemination and Partnerships: Share research through peer-reviewed publications, reusable tools, patents, scientific collaborations, and conference presentations; represent the company with partners, consortia, regulators, and the broader research community. Team Culture and Mentorship: Cultivate a rigorous research culture through structured scientific review, constructive challenge, and mentorship of scientists and engineers, raising the bar for impact and integrity. Responsible AI and Governance: Establish robust evaluation, governance, and responsible-use frameworks for advanced AI systems in clinical development, aligning innovation with patient safety and regulatory expectations. Essential Skills/Experience: Hold a PhD in Computer Science, Machine Learning, Biostatistics, Biomedical Informatics, Computational Biology, or a closely related quantitative field, or have an MSc with an equivalent record of research and industry impact. Eight years of experience in original research and technical impact, demonstrated through influential publications, clinical evidence, deployed systems, patents, widely used software or datasets, or comparable contributions. Have led substantial research programs end to end and made scientific or technical decisions that shaped a broader portfolio, platform, or organizational direction. Are comfortable setting direction under uncertainty, challenging assumptions, and influencing senior partners in our organization Bring expertise in relevant research topics, such as unsupervised learning, dimensionality reduction, causal inference, survival or longitudinal analysis, Bayesian modeling, multimodal learning, domain adaptation, model interpretability. Are comfortable working with AI agent harnesses, quick to pick up new approaches, and curious about what makes agents useful, reliable, and safe. Have strong Python and scientific-computing skills and experience with a modern ML framework such as PyTorch, JAX, or TensorFlow. Can explain technical findings, tradeoffs, and limitations to clinical, statistical, regulatory, engineering, and leadership audiences. Desirable Skills/Experience: Experience with biomedical data such as clinical text, EHR or trial data, biomedical imaging, genomics, transcriptomics, spatial biology, or real-world data. Hands-on experience with large language models or agentic systems, including fine-tuning or post-training, retrieval-augmented generation, tool use, agent harnesses, multi-step orchestration, evaluation, or inference and serving. Familiarity with clinical data standards, regulated validation, GxP, software as a medical device, model-risk management, or interactions with health authorities. Contributions to scientific consortia, reporting or evaluation standards, open-source communities, or other work that has influenced practice beyond a single project. Experience mentoring scientists or engineers and providing technical leadership in a global, matrixed organization. The annual base pay for this position ranges from $186,014 to $279,021 USD. Our positions may be eligible for various incentives, including short-term incentive bonuses, equity-based awards for salaried roles, and commissions for sales roles. Benefits may include qualified retirement programs, paid time off—including vacation, holidays, and leave—as well as health, dental, and vision coverage, in accordance with the terms of the applicable plans. AstraZeneca is an equal opportunity employer committed to diversity and inclusion and to providing a workplace free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Accommodation is available upon request for all aspects of the recruitment, assessment, and selection process. Requests may be made by emailing AZCHumanResources@astrazeneca.com. Why AstraZeneca: Join a company where advanced technology meets rigorous science to accelerate the delivery of life-changing medicines. You will collaborate with clinicians, statisticians, engineers, and data scientists in an environment that brings unexpected combinations of talent together to spark bold ideas. We invest deeply in learning and development—through coaching, feedback, and hands-on experimentation—so you can grow as fast as the field evolves. We pair ambition with care, valuing kindness alongside high standards, and expect every colleague to embrace AI and digital tools in day-to-day work. We thrive on in-person collaboration and typically spend at least three days a week together on site, while balancing individual flexibility, to move quickly on the problems that matter most to patients. Call to Action: If you are ready to lead a cutting-edge AI research agenda that shapes clinical decisions and delivers tangible benefits for patients, seize this opportunity to build what’s next and amplify your impact. #LI-Hybrid Date Posted 27-Oct-2026 Closing Date 29-Nov-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Publicada el 26 oct 2026