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Associate Director, Biostatistics FSP

CytelCambridge🇺🇸United States

Quick overview

SeniorityLeader

Employment typeFull Time

Work modeRemote

LocationCambridge, United States

Clinical TrialsDeep LearningSAPMachine LearningProject Management

Job description

Who Are You?

As an Associate Director of Biostatistics, you will be dedicated to one of our major Pharma clients, working as an extension of their staff to support or lead clinical trials for drug development, with the opportunity to leverage your experience and utilize advanced statistical methods in their Global Therapeutic Statistics group.

Sponsor-dedicated:

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.

Position Overview:

Our 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.

Your responsibilities will include:

Lead statistical activities for assigned Clinical Trials (mainly Phases 3) independently from protocol design to reporting of results.
Represent Statistics function on cross-functional trial 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 database lock and submission activities, safety reporting, adhoc requests and respond to regulatory questions.
Collaborate closely with clinical, data management, programming, and other stakeholders to develop and finalize study outputs in line with regulatory and protocol requirements
Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc.
Coordinate statistical activities across studies within the assigned project, ensuring alignment of objectives, consistency of approach, and on-time delivery

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 related quantitative discipline; PhD preferred
7+ years of experience supporting clinical trials in the pharmaceutical/biotech industry
Solid recent experience (≥3 years) in Phase II–III studies, including SAP development, sample size calculation, and TLF review
Strong knowledge of adaptive design, group sequential and statistical methods of count data
Prior experience on Hematology studies preferred
Good understanding of the drug development process and cross-functional interfaces and experience supporting end-to-end trial delivery (from protocol input through CSR contributions)
Working knowledge of EMA/FDA/ICH guidelines and regulatory expectations for clinical trials and submissions
Proficient in SAS and/or R for QC of statistical outputs and collaboration with programming teams
Excellent and effective communication skills (clear, concise, and professional) and ability to interact effectively with cross-functional stakeholders and external partners
Strong organizational and project management skills
Demonstrated ability to work independently, take ownership and be accountable for study-level statistical activities and deliverables