Experience in data modelling, using statistical methods to identify behavioural and data patterns. Industry experience would be advantageous, but this is not clinical endpoint analysis so a different way of thinking about data and stats modelling is required.An interest and/or experience in machine learning models would also be an advantage but not essential. This role will require you to write reproducible, robust code and so an understanding of the importance of good software development practices and interest in this area would be beneficial. Or if not, an appetite to learn!Interpersonal Skills: Self-motivated Creative and visionary Strong communication skills, ability to make a positive impact with internal and external stakeholders Enjoy working in a small, but growing, results-oriented team Ability to take responsibility for the consistency and quality of deliverablesTechnical Skills (not exclusive) Strong foundational knowledge of statistics (Hypothesis testing, point estimation, confidence intervals, numerical summaries, common distributions...) Experience in statistical modelling and regression analysis Programming skills in and statistical modelling skills in R and/or Python. Understanding of package development would also be an advantage or with a willingness to learn. Experience/interest in application of Machine Learning Ability to review clinical protocols and understand the study design and subject visits schedules Ability to demonstrate and apply critical thinking to KRI and data visualization design and centralized monitoring implementation Ideally an understanding of clinical trial data and data structure Desirable to have an understanding of software development practices (Agile, a collaboration tool such as Git, Testing/validation strategies, containerisation/similar)Please use the below link for job application and quicker response.https://lifelancer.com/jobs/view/7b1e2a8577b119eb25063330f9784b85