On behalf of a Global Leader we are currently looking for an experienced Statistical Modeller to join the partner on a 12 Month Contract.

What are the key objectives and expectations from this role?

To work within the Data Sciences team and cross-functionally to enable the delivery of a program and provide support across the business in terms of computational modelling, data standards, experimental design and statistical analysis.

ACCOUNTABILITIES

Leading activities for development, maintenance and implementation of internal data standards and processes to ensure efficiency and traceability of data.
Support predictive modelling work programs Involving collation/curation of data, model translation and code development.
Providing statistical analysis and experimental design support across Sciences
Contribute to data review and preparation to meet claims requirements and for regulatory submissions
Support project development with regards to study design, analysis and data management to ensure consistency and traceability
SAS programming to support above tasks
Providing data management and data review support for clinical studies
Data checking and reviewing to support team members

EXPERIENCE, SKILLS, KNOWLEDGE

Experience Required

Solid grounding in the application of statistical methods and data analysis
Good working knowledge of data standards principles with emphasis on CDISC (STDM / ADaM)
Proficient in SAS Base Programming

Technical / Functional / Leadership Skills Required

Proactive; self-driven with strong interpersonal, organizational, and multi-tasking skills.
Good communication/interpersonal skills.
Cross functional working and leading projects to deliver on time in full

Education / Qualifications / Certifications Required

Bachelor’s Degree Required (Mathematics/Computing, Statistics/Computing)

BENEFICIAL

Experience in additional statistical software packages eg. Minitab/JMP, R, Python
Data Sciences knowledge
Experience with FDA regulatory submissions
Implementation of CDISC, CDASH and SDTM standards