Principal Biostatistician

Positions in the Virtual Analytics Network are open in the UK (hybrid or remote working)

Major accountabilities:

· All statistical tasks on assigned trials, where you will be expected to perform these tasks independently, seeking peer input/review as required. Tasks may include: protocol and statistical analysis plan development; reporting activities; contributing to the planning and execution of exploratory analyses and/or PK, PK/PD analyses; exploratory biomarker and diagnostic analyses; statistical consultation. You will be responsible for initiating, driving and implementing novel methods and innovative trial designs in alignment with the Lead Statistician.

· Explaining statistical methodologies and interpreting analysis results. You will provide statistical expertise to support submission activities and documents, meetings with and responses to Health Authorities and other drug development activities.

· Contributing to interactions with external review boards, ethics committees, external consultants, and other external parties with oversight. You may represent Novartis in statistical discussions at external congresses, conferences or scientific meetings.

· Representing the Analytics line function in multi-functional teams for the assigned trials. You will have responsibility for ensuring functional alignment and line function awareness of the status and issues related to the assigned trials.

· Collaborating with other line functions. You will explain statistical concepts in a manner that is easily understood by non-statisticians and provide adequate statistical justifications for actions/decisions/statements.

· Establishing and maintaining sound working relationships and effective communication with the Clinical Trial Team and Analytics team.

· Overseeing all Biostatistics resources and work for assigned trials and/or related non-clinical activities, and ensuring work is timely and of adequate quality.

Essential Requirements:

· PhD (in Statistics, Mathematics, Computational Sciences, Data Science, or equivalent)

· Proven knowledge and expertise in statistics and its application to clinical trials or public health

· Proficiency in statistical software packages (e.g. R)

· Ability to influence decisions that directly impact the assigned clinical trial and team ability to deliver objectives

· Good communication and presentation skills, ability to work on and collaborate seamlessly with a multidisciplinary team to achieve team objectives

· Proficiency in English (oral & written)

Desirable:

· Depending on your assignment, you it may be helpful to have expertise in one or more of the following areas: Bayesian statistics, causal inference, clinical trial design, data exploration skills, estimands, evidence synthesis, pharmacokinetics, machine learning, missing data, modelling approaches.