At a Glance
- Tasks: Lead AI-powered tool development and enhance data workflows in oncology research.
- Company: Join AstraZeneca, a leader in life-changing medicines and innovative science.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with excellent career advancement opportunities.
- Why this job: Make a real impact in cancer research using cutting-edge AI and computational tools.
- Qualifications: Experience in AI initiatives, strong coding skills, and collaborative mindset required.
The predicted salary is between 63000 - 77000 £ per year.
Contract: 1-year fixed-term contract
Location: Cambridge, UK.
Introduction to the Role:
At AstraZeneca, we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. We’re passionate about the potential of science to address the unmet needs of patients around the world. We commit to those areas where we believe we can really change the course of medicine and bring big new ideas to life.
About the Role:
We are seeking a highly motivated, independent and collaborative Associate Principal Scientist to join our Immune Cell Engagers Discovery group in Cambridge, UK, on a 1-year fixed-term contract. This role sits at the intersection of immuno-oncology biology, computational data science and applied AI, and is central to how we build and embed AI-first workflows across our discovery group. You will combine scientific domain expertise with strong software and data-engineering skills to lead the design and deployment of AI-powered tools, shape robust data-infrastructure strategies and serve as a recognised AI Architect for the group. You will provide technical leadership across multiple initiatives, identify opportunities, propose solutions and build capabilities that can be adopted more widely across Oncology R&D. Working closely with wet-lab scientists, data science teams and R&D IT, you will translate experimental data into scalable, reproducible and insight-generating systems, while supporting colleagues to adopt AI-enabled approaches and strong data practices.
Main Duties and Responsibilities:
- Lead the design, development, deployment and lifecycle management of AI-powered tools and workflows, including data-wrangling pipelines, visualisation applications, agentic AI solutions and LLM-integrated tools.
- Ensure solutions are maintainable, adopted by users and deliver measurable scientific value.
- Lead the development and evolution of data infrastructure and data standards for the discovery group, with the intended outcome of structured, quality-controlled and reproducible data that are ready for analysis and AI applications.
- Act as an AI Architect and technical subject matter expert for the department, defining best practices, guiding technology choices, influencing AI strategy and driving adoption of reusable code, packages and tools across teams.
- Identify, prioritise and lead delivery of AI and computational capability projects that address strategic scientific challenges, balancing innovation, technical feasibility, governance, sustainability and user adoption.
- Mentor and support colleagues in adopting AI-enabled approaches, reproducible data workflows and practical coding practices.
- Lead cross-functional collaborations with Data Science, R&D IT and platform teams to deliver scalable solutions, align technical and scientific standards, and influence broader computational capabilities across Oncology R&D.
- Develop and apply agentic workflows to extract biological insight from high-dimensional datasets, including single-cell and spatial transcriptomics, functional screening data and multiomic integration.
- Stay current with advances in computational biology and AI methods, tools and best practices.
- Proactively evaluate and adopt fit-for-purpose approaches that strengthen discovery workflows.
- Prepare and deliver clear scientific and technical presentations within the Immune Cell Engagers Discovery group, across Oncology R&D and to relevant leadership audiences.
- Ensure compliance with internal standards and external regulations, and maintain accurate and timely records in the electronic laboratory notebook.
Essential Requirements:
- Demonstrated experience leading complex computational or AI initiatives from concept through implementation, deployment and adoption within a scientific environment.
- Demonstrable experience using agentic AI frameworks, LLM integration or AI-assisted coding tools such as GitHub Copilot, Claude Code or similar in a research or production context.
- Demonstrable experience developing and deploying tools for use by others, such as Shiny applications, automated reporting systems or shared analysis packages, with confidence in version control and collaborative software-development practices.
- Demonstrable experience building research data infrastructure that enables structured, quality-controlled and reproducible data, for example through LIMS schemas, electronic laboratory notebook workflows, structured databases or reproducible data pipelines with automated validation and quality control.
- Strong proficiency in Python and/or R, and experience of large-scale data management.
- Demonstrated ability to support adoption of new computational capabilities across research teams, including user engagement, documentation, training and communication with scientific leadership.
- Evidence of influencing scientific or technical direction beyond an immediate project team through technical leadership, best-practice development, mentoring or capability building.
- Strong interpersonal and collaboration skills, with a track record of working effectively across wet-lab and dry-lab teams in a matrixed environment.
- Experience preparing written scientific reports and delivering oral presentations.
Desirable Skills:
- PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields).
- Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological data.
- Experience with data science platforms such as Domino or QuartzBio.
- Experience working with biological datasets in immunology, oncology or related therapeutic areas, with the ability to rapidly gain domain knowledge as needed.
- Experience in an industry drug discovery setting, with knowledge of discovery-stage decision-making.
What You Will Gain:
You will operate at the cutting edge of oncology discovery, combining AI and data engineering with deep immunology to accelerate target discovery, mechanism-of-action studies and candidate selection. The role provides an opportunity to apply cutting-edge AI approaches to large-scale biological and translational datasets, working directly with scientists generating novel experimental data. You will help shape how the Immune Cell Engagers Discovery group integrates AI into its daily workflows, building tools that colleagues rely on and strengthening practical, reproducible approaches to AI-enabled discovery science.
So, what’s next? Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you!
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Associate Principal Scientist, AI and Computational Tools, Oncology R&D (1-year FTC) in Cambridge employer: AstraZeneca
AstraZeneca is an exceptional employer, offering a dynamic work environment in Cambridge where innovation meets collaboration. Employees benefit from a culture that values entrepreneurial thinking and scientific excellence, alongside opportunities for professional growth through mentorship and cross-functional projects. With a commitment to diversity and inclusion, AstraZeneca fosters a supportive atmosphere that empowers individuals to make meaningful contributions to life-changing medicines.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Principal Scientist, AI and Computational Tools, Oncology R&D (1-year FTC) in Cambridge
✨Join Biotechnology Meetups
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We think you need these skills to ace Associate Principal Scientist, AI and Computational Tools, Oncology R&D (1-year FTC) in Cambridge
Some tips for your application 🫡
Showcase Relevant Lab Skills:In the biotech world, your lab skills are paramount. Make sure your CV highlights specific techniques and equipment you’ve used, such as PCR, gel electrophoresis, or cell culture. This will give us a clear picture of what you can bring to AstraZeneca as a temporary teammate.
Highlight Your Research Experience:If you’ve worked on any research projects — whether during your studies or in previous positions — make sure to detail these in your application. Include the objective, your role, and what you achieved. This will help us see your potential and fit for the temporary position at AstraZeneca.
Keep It Concise and Relevant:Especially for a temporary role, we want to see a clear and focused application. Tailor your CV and cover letter to emphasise the qualifications and experiences that are most relevant to the biotech field and the specific role at AstraZeneca. This shows us you’re genuinely interested and capable.
Be Clear About Your Availability:Since it’s a temporary role, let us know right away when you’re available to start and how long you can commit. Include this in your cover letter — this kind of transparency saves us all time and helps us find the right fit quickly at AstraZeneca.
How to prepare for a job interview at AstraZeneca
✨Brush Up on Your Biotech Basics
Understanding the fundamental concepts in biotechnology is crucial. Be ready to discuss core topics like genetics, molecular biology, or bioinformatics, especially if you're asked technical questions. We suggest revisiting your coursework or recent projects to refresh your memory.
✨Demonstrate Your Adaptability
Since this is a temporary role, they’re likely looking for someone who can jump in and get up to speed quickly. Share experiences where you’ve adapted to new environments, tools, or teams in a short space of time. It shows you're ready to tackle the challenge head-on!
✨Emphasise Your Lab Experience
If you’ve got hands-on experience in lab settings, now’s the time to showcase it. Talk about specific techniques you’ve mastered, like PCR or chromatography, and any relevant safety protocols you’ve followed. These details help paint you as an effective team member from day one.
✨Be Prepared to Explain Your Passion
Hiring managers want to see your motivation, especially for a temporary position in a fast-paced field like biotechnology. Be ready to discuss what excites you about the industry, your career goals, and how this role at AstraZeneca aligns with them. It’s all about showing that you’re not just looking for a job, but a stepping stone in your biotech journey.
