- Google Cloud Platform
Exscientia is at the forefront of Artificial Intelligence (AI) driven drug discovery and the first to design drug molecules entirely by AI that are heading into the clinic. We are a technology company that combines the latest science and engineering with knowledge acquired from experienced medicinal chemists to automate drug discovery and develop novel therapeutics on a large scale.
We are currently seeking a highly-motivated software engineer with a strong background in software development and experience or interest in building enterprise products. Bring your whole self to work and use your hard earned skills for the benefit of the whole of society and deliver AI as a force for good.
As a Software Engineer at Exscientia, you will be based at our new Dundee office, working as part of an agile team on greenfield and established projects using modern tools and cloud-based technologies. You will collaborate closely with data scientists, software developers and research engineers to help us build upon Exscientia’s proven record of success.
You'll have the opportunity to
Help us build the next generation of Centaur ChemistTM, the industry leading automated drug design platform.
Deliver pythonic microservices using AWS.
Define and implement services in line with the long term product roadmap.
Work closely with the Dev Ops squad to ensure all services can be deployed in a fully automated way using infrastructure as code.
Liaise with internal stakeholders to ensure requirements are complete and meet expectations.
What you will need
Highly motivated with a track record of success.
2+ years software engineering experience.
Mastery of a relevant programming language such as Python.
BSc degree in Computer Science or relevant field.
Proven ability with database technologies such as Oracle, Postgres, DynamoDB.
Excellent interpersonal skills and ability to influence requirements.
Promote engineering best practises such as planning epics, writing many different kinds of tests and developing CI/CD pipelines.
Experience with application frameworks such as Flask, Django, Phoenix.
What would be great to have
Experience with containerization technologies such as Docker and Kubernetes.
Knowledge or interest in Machine Learning and AI.
Experience with one of the major Cloud vendors AWS, GCP or Azure.
Knowledge of REST conventions and API tooling such as Swagger, API Gateway, Django REST Framework
Experience with cloud automation via Ansible, Terraform or Cloud Formation.
Good understanding of microservices architectures.
Experience or interest in Life Sciences / Drug Discovery.