Job Description

Contribute to the development and testing of our innovative and market-leading statistical software. Study complex and innovative statistical algorithms and test their implementation in Cytel's software products.




ShortDescriptionStr
Software Statistician II - Contribute to the development and testing of our innovative and market-leading statistical software. Study complex and innovative statistical algorithms and test their implementation in Cytel's software products.

Education:

Master's or Ph.D. in Statistics, Applied Statistics, or Mathematics

Experience:

At least 2 years' experience working as a Statistician in a software development team testing or programming statistical algorithms Experienced Biostatisticians/Analysts/Data Scientists from Life Sciences industry with knowledge of areas like clinical trial designing or complex data analysis may be considered as well. Experience working in Agile Scrum teams and knowledge of frameworks like Scrum is preferred, but not mandatory.

Skills:

Strong knowledge of Statistics / Applied Mathematics, logical aptitude, and analytical skills Expertise in scientific programming using languages like R, Python, or Julia (at least one of these) Self-driven with the ability to think creatively and solve complex problems Strong verbal and written English communication skills Collaborative mindset and strong interpersonal skills

Optional Skills:

Knowledge of adaptive clinical trials for various phases, Bayesian methods applied to clinical trials, and methods of multiplicity adjustment is highly preferred. Hands-on experience of working with test management tools (TestRail preferred) and other popular tools used in the SDLC process (JIRA, Confluence, Bitbucket, etc.) Experience of software testing
InternalQualificationsStr

Education:

Master's or Ph.D. in Statistics, Applied Statistics, or Mathematics

Experience:

At least 2 years' experience working as a Statistician in a software development team testing or programming statistical algorithms Experienced Biostatisticians/Analysts/Data Scientists from Life Sciences industry with knowledge of areas like clinical trial designing or complex data analysis may be considered as well. Experience working in Agile Scrum teams and knowledge of frameworks like Scrum is preferred, but not mandatory.

Skills:

Strong knowledge of Statistics / Applied Mathematics, logical aptitude, and analytical skills Expertise in scientific programming using languages like R, Python, or Julia (at least one of these) Self-driven with the ability to think creatively and solve complex problems Strong verbal and written English communication skills Collaborative mindset and strong interpersonal skills

Optional Skills:

Knowledge of adaptive clinical trials for various phases, Bayesian methods applied to clinical trials, and methods of multiplicity adjustment is highly preferred. Hands-on experience of working with test management tools (TestRail preferred) and other popular tools used in the SDLC process (JIRA, Confluence, Bitbucket, etc.) Experience of software testing
InternalResponsibilitiesStr
Study requirements and software design carefully, especially from statistical perspective. Actively discuss requirements and help the team develop good understanding of related statistical aspects. Assist the Test Lead / SME write and review technical documents for algorithms, and develop validators in R, Python, etc. Based on available test strategy, create and execute test cases on the application, and report and track any defects to closure. Contribute to your team's work by reviewing validation code written by other statisticians, and guiding juniors on statistical testing. Acquire necessary cross-functional knowledge of Software Engineering concepts and processes to broaden your knowledge and contribute to project work more meaningfully. Assist with project level activities like integration and regression testing, and relevant documentation. Ensure on-time and high-quality delivery of software by working independently and productively, and performing statistical validation of complex features. Participate actively in sprint planning, daily stand-ups, sprint demos, and retrospectives. Develop a T-shaped technical skillset by undergoing appropriate trainings and courses, and attending relevant industry events. Follow all applicable company policies. Seek feedback on your performance and track progress on your goals regularly with the help of your manager, taking corrective actions as necessary. ExternalResponsibilitiesStr
Study requirements and software design carefully, especially from statistical perspective. Actively discuss requirements and help the team develop good understanding of related statistical aspects. Assist the Test Lead / SME write and review technical documents for algorithms, and develop validators in R, Python, etc. Based on available test strategy, create and execute test cases on the application, and report and track any defects to closure. Contribute to your team's work by reviewing validation code written by other statisticians, and guiding juniors on statistical testing. Acquire necessary cross-functional knowledge of Software Engineering concepts and processes to broaden your knowledge and contribute to project work more meaningfully. Assist with project level activities like integration and regression testing, and relevant documentation. Ensure on-time and high-quality delivery of software by working independently and productively, and performing statistical validation of complex features. Participate actively in sprint planning, daily stand-ups, sprint demos, and retrospectives. Develop a T-shaped technical skillset by undergoing appropriate trainings and courses, and attending relevant industry events. Follow all applicable company policies. * Seek feedback on your performance and track progress on your goals regularly with the help of your manager, taking corrective actions as necessary.