Principal Biostatistician FSP at Cytel

Position Overview

• Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use.

Responsibilities

As a Principal Biostatistician, your responsibilities will include:

• Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recommender Systems, Marketing Mix Optimization, Price Optimization 
• Design, run and analyse A/B and multivariate hypothesis tests aimed at optimizing customer and patient experience. Also, pick up new skills and technologies necessary on the job. Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively
• Develop automation for repeatedly refreshing analysis and generating insights Collaborate with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives
• Project manage own tasks and works with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required Independently identifies research articles and reproduce/apply methodology to business problems

Qualifications

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:

• Master’s degree in statistics or a related discipline. Ph.D. strongly desired.
• 9+ years supporting clinical trials in the Pharmaceutical or Biotechnology industry. 
• Ability to work independently, demonstrate initiative and flexibility through effective and innovative leadership. 
• Attention to detail and quality focused, excellent interpersonal and communication skills, innovative, and collaborative behaviours
• SAS programming skills for QCing critical outputs, Efficacy/Safety tables, and working closely with Programmers. 
• Knowledge of R programming (R Shiny/Python)