Data Developer

Competitive Salary + Benefits
Build a long-term career by unlocking opportunities for lifelong learning
Build unrivalled capabilities in a place that promotes learning agility and offers development opportunities. We never stand still so you’ll have the chance to constantly grow your abilities, skills and knowledge.
Here we are a fusion of challenging and interesting work, in an energising and inspiring environment. Embrace the opportunity for development – whether that’s upskilling or reskilling.
We are reimagining what a culture of lifelong learning means. Because we want all our people to embrace the challenges and opportunities that lie ahead. This is the place to build a long-term career.
Have the freedom to change how things are done. Powered by our spirit of curiosity we are constantly reimagining and reframing what the future looks like. Here, each of us is empowered to innovate and take smart risks that will change our course.
Typical Accountabilities
Perform technical and data analysis work to establish requirements for new data preparation projects.
Design data preparation workflows and define outputs (e.g., proposed data models and modes of access) and success criteria for projects.
Request and setup appropriate analytical environments a to achieve data preparation and data-scientific outcomes.
Perform data wrangling, cleaning, combining, transformation, cross-linkage etc. to build new datasets that enable specific data-scientific research workflows to be conducted to a high quality and in an accelerated manner.
Generating reusable scripting and code notebooks for sharing with other team members.
Planning data verification and testing plans, including user acceptance testing and user handover (data, code, information ‘readmes’)
Active team-worker to help to maintain an encouraging, agile and outcomes-focused culture.

Essential
BSc (min 2.1), MSc or PhD in life sciences related area.
Excellent skills in Python and/or R (with the desire to learn the other if you are only familiar with one of them).
Experience of data exploration, interpretation, and analysis.
Excellent communication skills.

Desirable
Solid grasp of statistics and machine learning.
Experience with software development tools and principles (e.g. git, unit testing).
Basic understanding of clinical trials.
Experience of agile working practices, e.g., Scrum!
Experience with building bioinformatics pipelines.

Why we love it
If your passion is science and you want to be part of a team that makes a bigger impact on patients’ lives, then there’s no better place to be. Here we truly understand science and apply it every day to strengthen and grow our pipeline.