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We are looking for a passionate and motivated Senior Software Engineer (Statistical Backend) to take on a critical role at the interface between clinical data science and software development on our KerusCloud® platform.
(Office-based, hybrid or home-based option can be discussed)
Responsibilities:
- To have a solid understanding of the KerusCloud® codebase and architecture.
- Development, and maintenance, of novel software to aid the design of complex clinical research studies with ownership over new advanced statistical features:
- lead on gathering requirements.
- understand the concepts and communicate to the wider team.
- design solutions to fit within KerusCloud®.
- engineer secure, quality, and robust solutions.
- Support the generation and maintenance of quality documentation.
- Be an integral part of the KerusCloud® development team, working closely with others.
- Support the continuous improvement of the team and wider company.
Requirements:
Essential:
- College graduate in a scientific, or mathematical, discipline which required the creation of repeatable coding for data analysis.
- Experience of programming languages to develop data science techniques (e.g. R, python)
- Experience of developing mathematical models to be used in a production setting.
- Experience of statistical principles and/or simulation methods used in clinical trials or medical research.
- Demonstrated ability to share knowledge and concepts to a wide range of people.
- Demonstrated ability to assimilate new ideas into practical, applied techniques.
- Excellent written and verbal communication with strong interpersonal skills.
- Proficiency with MS Office applications.
Desirable:
- Experience of object orientated programming principles.
- Experience working in an agile software development environment.
- Experience of source control (e.g., git) and issue tracking (e.g., JIRA) tools.
- Experience of AWS (e.g., Lambda, Cognito, S3, DynamoDB).
- Experience in mentoring others.