Job DescriptionPosition 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.
ResponsibilitiesAs a Principal Biostatistician, your responsibilities will include:- Lead statistical activities for assigned Clinical Trials (Phases 1 to 4) independently from protocol design to reporting of results.
- Represent Statistics function on cross-functional trial (and possibly indication / project) teams and collaborate effectively with all cross-functional stakeholders.
- Oversight of internal programming activities and/or CRO contributions on assigned clinical trials and other activities.
- Contribute to or lead other activities from a statistical perspective as appropriate, including but not limited to Safety Reporting, ISS/ISE, addressing questions from Health Authorities, Publications.
- Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc.
- Contribute to and participate in other initiatives at Cytel or sponsor side as appropriate.
- Oversight of more junior Statisticians as needed.
QualificationsHere 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:- PhD or equivalent degree in statistics/biostatistics or related discipline with a minimum of 3 years relevant work experience, or a Master's degree with a minimum of 6 years relevant work experience.
- 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.
