Lead Solution Architect - Analytics & AI
Location
Barcelona | Spain
Job description
Are you passionate about analytics and AI architecture? We have an excellent opportunity for you! As a Lead Solution Architect in the R&D IT Data, Analytics and AI Architecture team, you will be critical to shape and deliver our AI and analytics strategy. You will define innovative solutions for R&D and partner with scientists on challenging problems in drug discovery where computational approaches will make a difference. Be part of shaping the future of R&D here at AstraZeneca!
Accountabilities: You will partner closely with data sciences teams in R&D to deeply understand their business and technical needs. You will design solutions that demonstrate innovation, best practices, technical rigour and operationalisation of designs that R&D can rely on. You will create architectures that introduce and support end-to-end MLOps including new capabilities for features management, model management, ethics in AI. You will propose new solutions to accelerate model training and inference for large, complex data and models in production with appropriate governance and compliance, partnering closely with platform teams such as high performance computing and data sciences platforms to influence and review their infrastructure requirements for computational workload, build reference architectures and establish patterns. You will also be accountable for the evaluation of analytics software and selection, buy-vs-build decisions, and early phase project estimates for projects.
This role sits at the intersection of many teams including Data Scientists, R&D Scientists, Data Engineering, ML Ops, and Data Sciences Platform. Therefore, you will have excellent interpersonal skills and ability to communicate design choices to wide audience.
Essential Skills/Experience: - Bachelors in Computer Science, Information System or related discipline
- 7+ yrs of experience in the design and implementation of complex IT systems
- Hands-on experience building, training, and productionizing ML/AI model
- Hands-on experience with ML/AI projects using large language models (LLMs), Natural Language Processing (NLP) and various neural network architectures.
- Working knowledge of ML/AI frameworks and technologies (e.g TensorFlow, PyTorch)
- Working knowledge of modern software development practices and technologies (DevOps, Agile etc.)
- Knowledge of AWS, High Performance Computing (HPC) platforms, GPU architectures.
Desirable Skills/Experience: - Masters in computer science, Information System or related discipline
- Experience working in pharmaceutical and biotech industry
- Knowledge of biomedical data such as imaging, genomics
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Why AstraZeneca?
Make a positive impact, in a team where it means more. In Operations, we have a big ambition - to deliver more medicines to patients, quicker and more affordably. Backed by the investment, leadership and a clear plan to get there, we bring personal dedication and out of the box thinking. We are driven by our commitment to deliver accelerated growth for AstraZeneca and to make people's lives better. It pushes us to keep building on our foundations and progressing as we turn our ever-growing and increasingly complex pipeline from molecule to medicine. Be part of evolving how we work with Lean, cutting-edge science, digitalisation and sustainable practices.
Ready to make a difference? Apply now!
Date Posted 29-feb-2024
Closing Date 14-mar-2024
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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