Associate Director, AI for Oncology Clinical Development

AstraZeneca; Cambridge (MA); On-site; USD 144,000 - 216,000; Full time

Benefits offered by this job

Equity-based awards

Short-term incentive bonuses

Health/dental/vision coverage

Retirement programs

Job summary

AstraZeneca in Cambridge, MA is seeking a technical lead to advance AI for clinical development in oncology. You will shape strategy, lead high‑impact AI projects, and collaborate with teams across biometrics, regulatory, and study design to integrate novel AI into clinical trials.

You will mentor peers, publish work at venues, and build external collaborations with academia and partners while advancing the late‑stage drug pipeline.

Qualifications

• PhD in a quantitative discipline with strong computational/biomedical focus.
• At least 2+ years’ work experience outside PhD with measurable impact.

Responsibilities

• Contribute to AI strategy and roadmap for Oncology clinical development.
• Serve as technical lead on high-stakes AI projects across cross-functional teams.
• Develop and validate novel AI solutions for clinical study design and decision-making.
• Establish external collaborations to access novel capabilities and advance the AI roadmap.
• Represent AstraZeneca at conferences and publish in ML and clinical AI venues.
• Mentor team members and share expertise.

Skills

ML fundamentals

Foundation models

Biology domain knowledge

Software development

Collaboration

Education

PhD in quantitative discipline

2+ years work experience post-PhD

Tools

AI frameworks

Computational biology tools

Job description

Drug discovery has benefitted enormously in the current AI era yet comprises only a portion of the journey to bring new treatments to those in need. The final step – clinical drug development – is oft overlooked, despite requiring a significant proportion of time and investment. In the AI for Clinical Development team at AstraZeneca, we're reimagining the process of clinical development. Our vision is to bring safe, efficacious treatments to patients in a way that quantifiably improves our chance to do this faster, more cost-effectively, and with reduced patient burden.

In this role, you will be a technical lead to help us leverage the power of AI to the fullest, alongside our other computational, statistical, and machine learning tools. You will work across the enterprise to define and deliver on AstraZeneca’s most pressing clinical development questions. You will proactively collaborate in cross-functional teams spanning AstraZeneca’s key Oncology foci of hematology, cell therapy, antibody‑drug conjugates, small molecules, and biologics. This is an unprecedented, high visibility opportunity to invent new ways to leverage data, models, and learnings across the spectrum of cancer biology and drug modalities – and importantly, you and the team will apply these new methods to measurably advance the late‑stage drug pipeline and our group’s ambition.

Responsibilities

• Contribute to the AI strategy and roadmap for Oncology early and late phase clinical development
• Serve as a key technical lead and contributor in matrixed teams to deliver complex, high‑stakes AI projects
• Evaluate and develop cutting‑edge AI methods in one or more areas of problem definition, data considerations, governance, algorithm development, validation, and adoption
• Partner with clinical development, biometrics, regulatory, and study teams to develop and then validate novel AI solutions into clinical study design, execution, strategy, and decision‑making
• Establish and maintain external collaborations with academic institutions, technology partners, and industry consortia to access novel capabilities and advance the AI roadmap
• Represent AstraZeneca at scientific conferences, standards bodies, and peer‑reviewed venues; contribute first‑or last‑author publications in leading ML and clinical AI journals
• Mentor and support peers within the team

Qualifications

• PhD in a quantitative discipline such as computer science, bioinformatics, computational biology, mathematics, physics, biophysics, computational neuroscience, biostatistics
• At least 2+ years’ work experience outside of PhD with measurable impact (e.g. models delivered, patents, SaMD filings, first‑author publications, open‑source projects, standards‑body participation)

Technical Requirements

• Exceptional software development and coding skills, leveraging frontier coding agent frameworks; knowledge of computing hardware a plus
• Deep experience, knowledge, and understanding of one or more fields of biology

• Deep understanding of machine learning fundamentals, with domain expertise in one or more of the following -
  • Training and tuning foundation models
  • Bayesian inference
  • Temporal modeling
  • Multimodal integration and modeling
  • Model calibration and domain adaptation
  • Data-centric AI: acquiring, creating, and curating datasets for model training / post‑training / benchmarking / evals
  • Model and data evaluations and benchmarking
  • Model interpretability
  • Model post‑training and alignment

Preferred Skills

• Deep expertise in cancer biology
• Experience working with biological data such as molecular (e.g. DNA, RNA, protein), imaging (radiology, microscopy), or clinical text (e.g. EHR, clinical notes)
• Experience in drug development including but not limited to clinical trial design, biomarker discovery, companion diagnostics, dosing, safety, endpoints, and regulatory
• Experience in a matrixed global organization spanning multiple sites and therapy areas
• Up to date with the latest AI research and tools, proactively trying out those of interest, and ability to discern hype from true added value

The annual base pay for this position ranges from $144K to $216K. Our positions offer eligibility for various incentives—an opportunity to receive short‑term incentive bonuses, equity‑based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted

05-Oct-2026

Closing Date

11-Oct-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.