Senior Software Engineer (Statistical Backend) - CRO Environment - UK KerusCloud Product Develo[...]

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team?MMS is aaward-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate.We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.

Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visitwww.mmsholdings.comor follow MMS onLinkedIn.

We are looking for a passionate and motivatedSenior 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.

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