Data Platform Engineer

Who you are

• We need creative thinkers ready to redefine how drugs are designed with the power of AI
• Experience in data engineering and service-oriented architectures
• Extensive software engineering experience with software design and architecture skills
• Extensive enterprise programming experience writing production code using Python
• Experience building, deploying, and maintaining secure and scalable production systems on GCP
• Experience with Kubernetes and cloud computing
• Demonstrated ability to work in multi-disciplinary teams and environments
• Great degree of adaptability and a willingness to work across domains and different parts of the tech stack when needed
• Demonstrate ongoing career progression / trajectory and a passion for learning
• Msc in computer science, or equivalent experience
• In addition to the essential qualifications listed above, we also expect successful candidates to have some of the following qualifications:
• Experience with the management of scientific and experimental wet lab data in a pharma context
• Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data
• Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL, DBT
• Experience designing, implementing and maintaining relational data models with Python-based interfaces
• Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP

What the job involves

• You will contribute significantly to a world-class ML-based software platform set to transform the bio-pharmaceutical world
• Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation
• This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution
• Depending on your experience and background, you can be expected to work on one or more of the following domains:
• Software engineering of data services for data storage and integration layers
• Ingestion, transformation and serving of scientific data for scientific applications
• Building a state-of-the-art platform for conducting research with high velocity and reliability
• Collaboration with scientist and ML researchers on project work

Benefits

• Pension contribution
• Health and wellness benefits
• Enhanced parental support
• Development opportunities
• Hybrid model: It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in).