Data Engineer

Exscientia is a company that is committed to getting medicines to patients in the fastest and most effective manner. We do this by applying the latest research in Artificial intelligence (AI), machine learning and modern high-performance computational methods to transform drug design. Exscientia developed the first-ever functional precision oncology platform to successfully guide treatment selection and improve patient outcomes in a prospective interventional clinical study, as well as to progress AI-designed small molecules into the clinical setting.

As Data Engineer you will work on the continued development, maintenance, and scaling of the data infrastructure that supports Exscientia's deep learning image analysis pipeline for translational cancer research. Data is the lifeblood of Exscientia's AI workflows - by ensuring that it is reproducible, coherent, and accessible for research throughout the organisation you will be directly contributing to getting better drug candidates into the clinic and helping patients.

You will have the opportunity to

• Develop and deploy cutting edge data infrastructure
• Ensure the highest standards of data integrity, scalability, and reproducibility - and potentially enable new ways of using our rich datasets
• Enjoy a highly collaborative work culture that values initiative and professional autonomy

Requirements

• A Master’s degree or higher in computer science or an adjacent field
• In-depth knowledge of Python
• Excellent DevOps/DataOps knowledge, with experience building and deploying complex data platforms in production environments
• Thorough understanding of relational and non-relational databases
• Experience with API development
• Experience with continuous integration and deployment (CI/CD) tools
• Experience using cloud hosting providers such as GCP, AWS, or Azure
• Excellent communication skills

Ways to stand out

• Experience with bringing software development best practices to a research organisation
• Hands-on knowledge of automation data pipelines, scientific workflow systems, and their monitoring (e.g. through dashboards)
• Adjacent data science skills, e.g. data analysis best practices in Python or R
• Experience in event-driven data delivery and deployment

Benefits

• Making a positive contribution to patients by revolutionising the pharmaceutical industry through AI-driven discovery
• Kick-start or further grow your career - at Exscientia, you will have the opportunity to acquire valuable skills, work on problems that matter, and learn from world-class technical and scientific leaders
• A highly competitive compensation package in accordance with the Austrian collective bargaining agreement. We will negotiate an attractive package and overpayment based on your background and previous work experience.
• Funding for professional development and conference attendance
• The opportunity to join an inclusive, collaborative and intellectually stimulating culture
• Flexible working and remote working to allow you to manage your own time
• Daily lunch options, regular team events and lots of opportunities for casual networking